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Three-Way Matching Guide

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Introduction

Business finance teams perform three way matching of vendor invoices as an essential internal control process. Without using three way matching to supporting documents, companies risk cash and profit drains from making duplicate, erroneous, or fraudulent payments.

The goal of this article is to understand what three-way matching is, the evolution of the process, stakeholders and their pain points, the current state of the three-way matching process in accounting, and the benefits of automation.

Three way matching is best performed as a digitized, automated solution for repetitive accounts payable tasks.

The three-way matching concept

Three-way matching is an internal control process comparing line item details and totals on a purchase order (PO), receipt for goods (verified receiving document and packing slip), and the vendor invoice sent to the customer. Three-way matching in accounting flags any exceptions for follow-up before paying an invoice.


Three way matching documents and common practices for purchase order, receipt of goods, and vendor invoice

With three way matching of invoices by the accounts payable department, businesses reduce payment errors and fraud. Automation, including AI-driven optical character recognition (OCR), can significantly speed up the three way matching process, eliminating manual processes and increasing accuracy.

Purchase order

A purchase order is a company’s standard, sequentially numbered form that becomes a contract when the PO is sent to and accepted by the vendor that intends to deliver the goods or services to the customer. The purchasing department generates a purchase order based on a signed and approved purchase requisition after vendor selection.

3-Way Matching: Purchase Order
3-Way Matching: Purchase Order

The purchase order form includes customer name and logo, vendor name and contact information, legal and payment terms including discounts offered, purchase order number, customer billing and shipping address, line items with services or vendor product numbers and descriptions, pricing, quantities ordered, extended amount, subtotal, sales tax if any, and total amount.

Receipt

A receipt is a physical or electronic document that reflects the actual receipt of goods, as verified by the customer’s receiving department, compared to the itemized vendor packing slip included with the delivered products relating to the purchase order. The receiving document references the purchase order number, facilitating document matching.

3-Way Matching: Receipt
3-Way Matching: Receipt

An employee from the customer’s receiving department documents the verification process by line item, with a signature and date and time received.

The receipt of goods may be delivery of the entire purchase order or a partial shipment if any products are back-ordered for later delivery or shipped from a different location.

Vendor Invoice

A vendor invoice is a document that bills the customer based on deliveries from a referenced purchase order number. The invoice is sent to the customer upon full or partial shipment of items from the supplier.

Like purchase orders, invoices are sequentially numbered for internal control, which aids the invoice matching process.

Invoice fields are primarily the same as the line items of a purchase order. Invoice number, order dates, shipment dates, remittance address, payment terms like early payment discounts, subtotal, sales tax, and total amount due are included on the supplier invoice.

A vendor invoice sent to the customer doesn’t need a supplier’s signature. Upon three way matching in accounts payable without exceptions, documented approval of the invoice by an authorized approver is equivalent to a signature.


Looking to automate the 3-Way Matching process in your organization?  Try Nanonets and get the benefits of automating Three-Way Matching through an AI-based OCR technology.


Evolution of the 3 way matching process

The 3-way matching process is an evolution. It reflects the shift from handwritten paper documents to computerized accounting software systems for manually entering computer-generated paper documents to today’s efficient automated technologies for matching electronic vendor invoices to digitized purchase orders and receipts.

With paper-based processes and systems, constant problems block and tackle the chances of accounting and the accounts payable department becoming efficient at performing their job duties.

Customer delays in accounts payable (and accounting) from paper-based purchase order to payment cycles include:

  • Receiving and filing separate paper purchase orders, receipts, and mailed vendor invoices in the accounts payable department
  • Locating or requesting replacements for lost paper documents
  • Manually entering vendor invoices into the accounting system
  • Visually matching invoices with supporting documents if the ERP system doesn’t integrate software-based procurement and receiving functions with the accounting and accounts payable software
  • Approving vendor invoices visually
  • Month-end and fiscal year-end financial closing delays from accruing many invoices as accounts payable not yet recorded in the system
  • Experiencing constant interruptions from suppliers about the status of unpaid invoices.

Customer errors from paper-based documents include:

  • Errors resulting from manual data entry
  • Approval of duplicate invoices for payment
  • Approval of fraudulent invoices
  • Financial statement errors from under-accrual of unrecorded accounts payable.

The under-accrual of accounts payable is due to a combination of delays in receiving and matching invoices and short cut-off dates after month-end.

From the standpoint of a vendor, three-way matching by the customer is delayed by the time required for the vendor to review and approve the invoice and print and mail it (plus mail in-transit time).

The customer’s departments involved in 3 way matching are:

  • Purchasing
  • Receiving
  • Approvers
  • Accounting (Accounts Payable)

Purchasing receives an approved purchase requisition, vets vendors, creates an approved vendors list, requests multiple quotes from potential suppliers, selects one or more suitable vendors, and prepares and submits an approved purchase order to the vendor.

Receiving verifies the receipt of items and prepares a receiving report for items received from the purchase order, using vendor packing slips and itemized delivery receipts.

Authorized approvers with budgetary responsibility approve matched invoices. Approval authority limits by job title and amount are stated in the company policy. For larger purchases, a second approver at a higher level in the organization must also approve the invoice.

Relating to three way matching, accounts payable employees’ job duties include:

  • receiving and handling the documents
  • accounting for trade payables transactions
  • preparing the accounts payable aging report and cash disbursements report, and
  • making batch payments of approved vendor invoices and payment runs.

Adequate internal control practices separate duties for accounting for transactions, handling cash, and approving invoices and payments. The accounting department, outside accounts payable, reconciles payments and accounts payable journals to the general ledger and prepares financial statements.

Process improvements and efficiencies gained over time for 3 way matching include business process reengineering (BPR) to streamline manual workflows and handle them with computerized systems.

Reliable OCR with AI data capture software and invoice automation handles three way matching of invoices to purchase orders and receipts.  This automation process can help a company keep up with the accounts payable and payments workload, increase accuracy,  reduce erroneous or fraudulent payments, close the books earlier, and cut related department labor and other administrative costs.


Looking to automate the 3-Way Matching process in your organization?  Try Nanonets and get the benefits of automating Three-Way Matching through an AI-based OCR technology.


Stakeholders and their duties and expectations

In the three way matching process, the stakeholders are procurement teams, vendors or suppliers, and finance teams, including accounts payable and accounting.

Procurement teams

Procurement teams, also known as purchasing teams, receive approved purchase requisitions from an employee needing purchased goods or services.

Procurement is responsible for verifying vendors in a company’s supply chain and evaluating their capabilities. Procurement confers with their company’s credit department to evaluate the financial strength of vendors. Procurement ranks vendors, establishing a preferred and approved vendors list.

The purchasing department requests multiple bids before selecting a vendor or supplier for a substantial order. Procurement then issues a reviewed and approved purchase order and submits it to the vendor.

Procurement should consider vendor performance related to the purchase order and also assess the supplier’s financial strength before placing another order.

Vendors or suppliers

Vendors have a duty to accept or reject purchase orders. When vendors accept customer purchase orders, they create a legal contract to perform, complying with the PO terms.

Before accepting a purchase order, vendors should run credit reports on that customer to ensure that the customer has the financial strength to pay for the products ordered.

Vendors enter the purchase order into their system, which triggers ordering parts and products or delivering services. If the goods require manufacturing, the vendor schedules labor and pulls parts on the bill of materials to manufacture the products.

To retain the customer, vendors should strive to meet the delivery date on the purchase order. They should inform the customer of shipments and their expected delivery date.

However, sometimes vendor delays occur. If an expected delivery date isn’t close to the delivery date on the PO, the vendor should communicate any delays or backorders with the customer and get an agreement.

Suppliers are also responsible for testing and quality control. Vendors ensure that products delivered to the customer under the purchase order meet specifications and expected high-quality standards.

Three-Way Matching: Roles and Duties
Three-Way Matching: Roles and Duties

Finance teams

The Finance department performs the following procedures to enter or capture vendor invoice data using OCR, match invoices, get approvals, pay vendor invoices, record transactions, generate reports, and issue financial statements to stakeholders.

System access to purchase orders and receipts

Finance teams, including accounting and accounts payable, record or access purchase orders in their accounting software or company-wide enterprise resource planning (ERP) system.

When the receiving department enters receiving reports into the system, the operations department, accounts payable, and finance team members can access the verified receipt or its data.

Accounts payable team enters and records vendor invoices

Accounts payable enters vendor invoices into the accounting system and codes the entries to record inventory, fixed assets, or expenses as the other side of double-entry bookkeeping.

Accounts payable performs three way matching

The next step is for accounts payable to perform the three way matching process, ensuring that the purchase order, receipt, and vendor invoice are in agreement or that only the actual goods received to date are paid for by the due date, if possible.

Approvers approve or reject invoices for payment

After the three way matching procedure is complete, designated approvers review the matched invoices and supporting documents and approve the invoices for payment, unless an exception exists or the transaction appears to be erroneous, duplicate, or fraudulent.

Approvers may include department managers responsible for the expenditures and the Controller or Chief Financial Officer (CFO). For huge expenditures, the Chief Executive Officer (CEO) and Board of Directors may also need to approve the payment or a contract.

Accounts payable department pays invoices

Some companies stretch payment of vendor invoices by a reasonable amount past the due date for cash flow management purposes or if they experience cash flow issues. Vendors will cut off future order shipments to the customer until they collect payments if payment of customer invoices or account balances are delayed for too long.

Accounts payable makes payments to the suppliers according to company policy on taking early payment discounts. If discounts aren’t offered by the vendor or taken by the customer, the accounts payable department pays the entire invoice amount by the due date.

A typical payment term for trade payables is 2/10 net 30. The vendor offers a two percent discount if the customer pays the invoice within ten days; otherwise, the total invoice amount is due 30 days after the invoice date.


Looking to automate the 3-Way Matching process in your organization?  Try Nanonets and get the benefits of automating Three-Way Matching through an AI-based OCR technology.


Accounts payable records payments

When the accounts payable team makes batch payments, or in some cases, makes single invoice payments, the accounting system reduces the accounts payable balance by the total invoice amount or partial invoice payment.

The accounting system applies payment to a specific invoice number. When invoice numbers aren’t known, unapplied payments may occur, requiring future follow-up to clean up the detailed accounts payable aging. Accounting investigates and corrects any errors for debit balances in accounts payable, which may indicate an overpayment or mistake.

When a vendor account balance or invoice balance is zero, it is considered settled, with the transaction(s) complete.

Early payment discounts are not reflected in the accounting records until the customer takes them upon paying an invoice at the lower, discounted amount.

Accounts payable generates aging reports

Accounts payable generates accounts payable aging reports, which include columns indicating vendor invoice days outstanding.

Days outstanding is the number of days balances due are unpaid since the invoice date. Accounts payable aging details include vendor name,  invoice numbers, and amounts outstanding, with total gross payments due to the vendor. Columns are current, 30 days, 60 days, and 90 days, with totals by column date range and grand total.

Accounting reconciles to the general ledger and supervises accounts payable

Accounting reconciles the accounts payable journal to the general ledger at least monthly and reviews the accounts payable aging for vendor payments status.

Finance performs financial planning and analysis (FP&A) and cash management

Finance also reviews the accounts payable aging and prepares statistics including accounts payable turnover to manage cash flow and review business performance. Finance also forecasts cash requirements. Accessing real-time financial reports and complete and up-to-date accounts payable aging reports is essential for financial management.

Finance prepares annual budgets and forecasts using sales projections and expense requirements submitted by revenue and cost center managers within departments responsible for controlling spending. Sales forecasts may be built from the customer contact level, starting at the salesperson or account manager level.

Accounting prepares financial statements that the CFO, CEO, and Board review

The accounting department prepares monthly and year-end financial statements. The detailed financial statements include actual vs budgeted amount variance reports by coded accounting line item.

Detailed financial statements are summarized and made accessible or reported to designated internal management, the Board of Directors, and external stakeholders including banks, shareholders, and the Securities and Exchange Commission (SEC) for publicly traded companies.

Pain points in the manual process

Paper-based documents cause the most pain points in the 3 way matching process.

3-Way Matching Pain Points
3-Way Matching Pain Points

Pain points in the three way matching process include:

  • Handling variations
  • One-off scenarios
  • Duplicate invoices with no supporting documents to match
  • Fraudulent invoices
  • Invoice approval delays
  • Multiple payment status inquiries from vendors.

A variation arises when the line items, quantities, extended amounts, or total due on a vendor invoice don’t match the purchase order or receipt of goods or services. The transaction will be flagged as an exception. Accounts payable will need to resolve these types of recurring issues.

In a paper-based system using alphabetized document files, paper documents can be misfiled, leading to delays and missing supporting documents for the three way matching of invoices.

A one-off scenario is a single-time occurrence rather than a repetitive issue or event. If an accounts payable employee encounters a one-off matching error, they will need to investigate the problem to solve it. The resolution takes extra time compared to a repetitive issue.

As a one-off example, if the vendor invoices the wrong product, accounts payable will need to request a corrected invoice to complete the match. Waiting to receive a corrected or replacement invoice or receipt from the vendor will delay invoice approval and payment and reduce productivity.

Duplicate invoices will not have necessary supporting documents, which have already been matched with the original invoice. If the system works correctly, the duplicate invoice will be noticed, flagged as an exception, and not be approved for payment.

Some fraudulent companies may bill the business for unordered office supplies or other products or services not delivered. Without supporting documents to match the transaction, an exception should occur to prevent payment.

If departmental management or executive approvers don’t approve matched invoices promptly, accounts payable will need to follow up until the approval happens. Paper invoices and supporting documents may be lost somewhere in a black hole in the company, requiring that replacement documents be obtained before payment.

With paper-based three way matching of invoices with supporting documents, approver delays can result from procrastination, heavy workloads, resolving questions with the requester, and business travel.

When long delays occur in invoice payment due to exceptions in the three-way matching process (or other causes), the accounts payable team will be frustrated by constant interruptions from suppliers requesting payment status. They may miss deadlines or require overtime to complete job duties. Labor time and costs will be higher.


Looking to automate the 3-Way Matching process in your organization?  Try Nanonets and get the benefits of automating Three-Way Matching through an AI-based OCR technology.


Current state of the three way match process

Businesses are rapidly adopting AI and OCR for data capture and integrating it with ERP or accounting software and robotic process automation (RPA) software. OCR helps them conduct three way matching (and other routine processing tasks). We cite examples of businesses adopting advanced OCR systems to gain significant efficiencies and competitive advantage.

Use of AI and OCR in three way matching of invoices

Using best practices, businesses now use optical character recognition (OCR) scanning,  artificial intelligence (AI), and deep learning technologies for digitization and three-way matching. OCR can be integrated with robotic process automation (RPA) software.

Nanonets provides a leading-edge automated platform for accurately capturing and electronically processing the purchase order, receipt, and invoice documents needed for three way matching of invoices.

Nanonets OCR for Three-Way Matching
Nanonets OCR for Three-Way Matching

Businesses can capture unstructured data in requested fields and add new fields. Machine learning lets the system become more accurate as it gains experience from prior document data capture and retrains. Besides using OCR capture for the three way match process, the best systems enable uploading electronic invoices received via email or other online delivery methods.

Robust OCR and AI/ML systems for data capture, like Nanonets, include integrations with other software. The integration includes using Zapier to import data from your email, inbox, Dropbox, Box, or another source.

Integrating with your enterprise resource planning (ERP) software and warehouse management system (WMS) facilitates three-way document matching. OCR systems, like Nanonets, also integrate with customer relationship management (CRM) systems like Salesforce.

For invoice automation, AI-powered OCR software captures vendor invoice data and feeds it into the accounts payable module of an ERP system. Invoice automation matches supplier invoices to purchase orders and receipts for three way matching.

Users can opt to seamlessly integrate with robotic process automation (RPA) platforms like UiPath to automate three-way matching using bots. Nanonets combines with your choice of several RPA platforms.

Besides integrating with other software, users can query the OCR model after training it or using a pre-trained Nanonets model.

To relieve the pain point of fraudulent invoices, if users specify indicators of a fraudulent document, Nanonets OCR can detect and flag fraudulent invoices to prevent the payment of these invoices.

Tech advances in OCR include using computer vision, working with unstructured documents, and applying deep learning algorithms and natural language processing (NLP).

According to a 2020 report co-authored by Deloitte Digital (U.K) and UiPath that quotes a 2019 Everest survey:

“Many organisations are devoting more financial and human resources to deploy intelligent document processing capabilities. Success by forward-looking organisations is driving confidence in a market expected to grow 70-80% over the next two years to US$1.1 billion.”

Business thought leaders using tech advances for three-way matching

The major global accounting firms are huge supporters of invoice automation using OCR with artificial intelligence and machine learning, plus robotic process automation. As an example, Deloitte is a Nanonets customer that regularly reports on the advantages of an automated invoice matching system that streamlines accounts payable workflows, reducing required labor time and costs.

Cummins, P&G, and Sherman Williams are Fortune 500 industrial companies using Nanonets to accomplish OCR-related tasks. DoorDash also uses Nanonets. And large insurance claims processing companies use Nanonets.

Insurance claims processors benefit significantly from using Nanonets OCR solutions to digitize data from invoices and receipts, as described in this case study.

Besides these large companies, small to medium-sized enterprises (SMEs) gain efficiency from implementing Nanonets OCR solutions for accounts payable.

In a case study, a multi-state, multi-location, SME jewelry retailer benefits from using Nanonets to enhance its capabilities beyond those provided by QuickBooks alone. In a Nanonets testimonial, Happy Jewelers states: “Our employees now feel more productive and happy as most of the clerical work is now out of their lives.”

The automation process

The OCR/AI automation process can efficiently handle a diverse range of business objectives, including verifying loan documents for financial institutions, identifying inappropriate social media postings using computer image processing, and invoice processing, including three way matching. In this blog article, we focus on the three way matching use case.

AI & OCR Technology in 3-Way Matching
AI & OCR Technology in 3-Way Matching

The automation process begins with advanced optical character recognition (OCR) software, like Nanonets, that uses artificial intelligence, machine learning, and computer vision technologies to improve accuracy and enhance its capabilities.

How it works…

Nanonets accepts online invoices, purchase orders, and receivers from several of your online sources. Nanonets also provides significant value by capturing data from paper documents, including hard-to-read handwritten ones, with a high accuracy rate. Not all AI-driven OCR systems offer precise handwritten document functionality like Nanonets.

Upon capturing documents data and mapping it to fields, Nanonets can perform post-processing applying its AI and machine learning capabilities. During and after data capture, changes can be made in Nanonets. For example, field data formats can be standardized for documents received from various vendors.

Users can train and retrain the model with a Nanonets machine learning algorithm using a sample of data with labels or select a pre-trained Nanonets model. Retraining and repeated use of a model improve accuracy in OCR detection (and other uses like image classification and object detection).

As a reference point, Nanonets support believes that it usually takes two to eight hours to train a model. If it takes longer to train your model, consider upgrading your Nanonets software plan.

Nanonets describes how its users are building custom deep learning based OCR models in a  detailed guide.

Nanonets provides the API interface and code. Nanonets exports data in the computer language you prefer to your choice of apps.

Nanonets can integrate directly with software like a company-wide ERP system or QuickBooks (or a competitor’s) accounting software and a warehouse management system through an API connection.

Nanonets has an optional API integration with robotic process automation (RPA) software bots to conduct RPA-based automated invoice processing and three way matching with supporting documents.

Nanonets security includes a Software Development Lifecycle Policy for its users, employees, and third-party contractors. The Nanonets software policy addresses encryption, standards, and worldwide GDPR compliance for the privacy of EU-based residents using the software.

Pricing options

Nanonets offers monthly, per model SaaS pricing plans (plus usage costs) at different levels for each type of software Model, including Starter, Pro, and Enterprise. The free Starter plan has limited features and is offered as a try-out platform. Nanonets models offered include Custom Model, Receipts, Invoices, Driving License, and Passports.

The Enterprise plan offers more features, including a dedicated Account Manager, personalized 1-1 team training, and a higher security and control level. Request a custom quote from Nanonets sales for Enterprise.

Control & support

Nanonets software users can access Usage Stats for their number of documents processed, number of fields processed, and cost incurred during a billing cycle. This access allows users to access status information and control usage costs.

For customer support, Nanonets provides a searchable knowledge base in its online Help Center that includes a Getting Started Guide and documentation by topic for self-training.

Nanonets also provides short video tutorials, including How to build an OCR model with Nanonets.


Looking to automate the 3-Way Matching process in your organization?  Try Nanonets and get the benefits of automating Three-Way Matching through an AI-based OCR technology.


Benefits of automating the process

Benefits of automating the three way matching process include:

  • Audit readiness
  • Error reduction in accounting
  • Fraud reduction
  • Seamless sync
  • Man hour savings

Companies and their auditors are moving from inefficient and ineffective manual processes to accounting and auditing software with digitized processes using OCR, AI, automated bots, and data visualization tools with business intelligence for analyzing results and patterns.

By using accurate, automated three way matching of invoices, purchase orders, and receivers, the chance for errors and fraud is reduced when users provide specific instructions for fraud detection.

Audit software can seamlessly sync with an ERP system already integrated with AI-driven, OCR data capture.

Accounting internal controls and financial statement reliability reduces the scope of additional audit procedures needed. Efficient and reasonably current processing, approval, and payment of vendor invoices make the financial statements more reliable.

Time savings are substantial, leaving more employee time for fulfilling audit requests. Modern, digitized audit software using AI technology can reduce the need to request some of the information from clients. Accounting and accounts payable can complete any audit request on a timely or early basis, so the auditors don’t experience delays due to waiting time, increasing audit fees.

And time savings result in reduced labor and hiring needs, reducing business costs.

Reliable OCR with AI data capture software and invoice automation handles three way matching of invoices to purchase orders and receipts.  This automation process can help a company keep up with the accounts payable and payments workload, increase accuracy,  reduce erroneous or fraudulent payments, close the books earlier, and cut related department labor and other administrative costs.

Conclusion

This article provides an in-depth guide to three way matching of invoices. Automation improves the three way matching process in finance by increasing efficiency and reducing risk of errors from manual data entry. Nanonets provides a state-of-the art, AI-driven OCR software solution for implementing the three way matching process.

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Source: https://nanonets.com/blog/three-way-matching-3-way-matching/

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Optimal Dynamics nabs $22M for AI-powered freight logistics

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Optimal Dynamics, a New York-based startup applying AI to shipping logistics, today announced that it closed a $18.4 million round led by Bessemer Venture Partners. Optimal Dynamics says that the funds will be used to more than triple its 25-person team and support engineering efforts, as well as bolster sales and marketing departments.

Last-mile delivery logistics tends to be the most expensive and time-consuming part of the shipping process. According to one estimate, last-mile accounts for 53% of total shipping costs and 41% of total supply chain costs. With the rise of ecommerce in the U.S., retail providers are increasingly focusing on fulfilment and distribution at the lowest cost. Particularly in the construction industry, the pandemic continues to disrupt wholesalers — a 2020 Statista survey found that 73% of buyers and users of freight transportation and logistics services experienced an impact on their operations.

Founded in 2016, Optimal Dynamics offers a platform that taps AI to generate shipment plans likely to be profitable — and on time. The fruit of nearly 40 years of R&D at Princeton, the company’s product generates simulations for freight transportation, enabling logistics companies to answer questions about what equipment they should buy, how many drivers they need, daily dispatching, load acceptance, and more.

Simulating logistics

Roughly 80% of all cargo in the U.S. is transported by the 7.1 million people who drive flatbed trailers, dry vans, and other heavy lifters for the country’s 1.3 million trucking companies. The trucking industry generates $726 billion in revenue annually and is forecast to grow 75% by 2026. Even before the pandemic, last-mile delivery was fast becoming the most profitable part of the supply chain, with research firm Capgemini pegging its share of the pie at 41%.

Optimal Dynamics’ platform can perform strategic, tactical, and real-time freight planning, forecasting shipment events as far as two weeks in advance. CEO Daniel Powell — who cofounded the company with his father, Warren Princeton, a professor of operations research and financial engineering — says that the underlying technology was deployed, tested, and iterated with trucking companies, railroads, and energy companies, along with projects in health, ecommerce, finance, and materials science.

“Use of something called ‘high-dimensional AI’ allows us to take in exponentially greater detail while planning under uncertainty. We also leverage clever methods that allow us to deploy robust AI systems even when we have very little training data, a common issue in the logistics industry,” Powell told VentureBeat via email. “The results are … a dramatic increase in companies’ abilities to plan into the future.”

The global logistics market was worth $10.32 billion in 2017 and is estimated to grow to $12.68 billion USD by 2023, according to Research and Markets. Optimal Dynamics competes with Uber, which offers a logistics service called Uber Freight. San Francisco-based startup KeepTruckin recently secured $149 million to further develop its shipment marketplace. Next Trucking closed a $97 million investment. And Convoy raised $400 million at a $2.75 billion valuation to make freight trucking more efficient.

But 25-employee Optimal Dynamics investor Mike Droesch, a partner at BVP, says that demand remains strong for the company’s products. “Logistics operators need to consider a staggering number of variables, making this an ideal application for a software-as-a-service product that can help operators make more informed decisions by leveraging Optimal Dynamics industry leading technology. We were really impressed with the combination of their deep technology and the commercial impact that Optimal Dynamics is already delivering to their customers,” he said in a statement.

With the latest funding round, a series A, Optimal Dynamics has raised over $22 million to date. Beyond Bessemer, Fusion Fund, The Westly Group, TenOneTen Ventures, Embark Ventures, FitzGate Ventures, and John Larkin and John Hess also contributed .

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Source: https://venturebeat.com/2021/05/13/optimal-dynamics-nabs-22m-for-ai-powered-freight-logistics/

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Code-scanning platform BluBracket nabs $12M for enterprise security

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Code security startup BluBracket today announced it has raised $12 million in a series A round led by Evolution Equity Partners. The capital will be used to further develop BluBracket’s products and grow its sales team.

Detecting exploits in source code can be a pain point for enterprises, especially with the onset of containerization, infrastructure as code, and microservices. According to a recent Flexera report, the number of vulnerabilities remotely exploitable in apps reached more than 13,300 from 249 vendors in 2020. In 2019, Barracuda Networks found that 13% of security pros hadn’t patched their web apps over the past 12 months. And in a 2020 survey from Edgescan, organizations said it took them an average of just over 50 days to address critical vulnerabilities in internet-facing apps.

BluBracket, which was founded in 2019 and is headquartered in Palo Alto, California, scans codebases for secrets and blocks future commits from introducing new risks. The platform can monitor real-time risk scores across codebases, git configurations, infrastructure as code, code copies, and code access and resolve issues, detecting passwords and over 50 different types of tokens, keys, and IDs.

Code-scanning automation

Coralogix estimates that developers create 70 bugs per 1,000 lines of code and that fixing a bug takes 30 times longer than writing a line of code. In the U.S., companies spend $113 billion annually on identifying and fixing product defects.

BluBracket attempts to prevent this by proactively monitoring public repositories with the highest risk factors, generating reports for dev teams. It prioritizes commits based on their risk scores, minimizing duplicates using a tracking hash for every secret. A rules engine reduces false positives and scans for regular expressions, as well as sensitive words. And BluBracket sanitizes commit history both locally and remotely, supporting the exporting of reports via download or email.

BluBracket offers a free product in its Community Edition. Both it and the company’s paid products, Teams and Enterprise, work with GitHub, BitBucket, and Gitlab and offer CI/CD integration with Jenkins, GitHub Actions, and Azure Pipelines.

BluBracket

Above: The Community Edition of BluBracket’s software.

Image Credit: BluBracket

“Since our introduction early last year, the industry has seen through Solar Winds how big of an attack surface code is. Hackers are exploiting credentials and secrets in code, and valuable code is available in the public domain for virtually every company we engage with,” CEO Prakash Linga, who cofounded BluBracket with Ajay Arora, told VentureBeat via email.

BluBracket competes on some fronts with Sourcegraph, a “universal code search” platform that enables developer teams to manage and glean insights from their codebase. It has another rival in Amazon’s CodeGuru, an AI-powered developer tool that provides recommendations for improving code quality. There’s also cloud monitoring platform Datadog, codebase coverage tester Codecov, and feature-piloting solution LaunchDarkly, to name a few.

But BluBracket, which has about 30 employees, says demand for its code security solutions has increased “dramatically” since 2020. Its security products are being used in “dozens” of companies with “thousands” of users, according to Linga.

“DevSecOps and AppSec teams are scrambling, as we all know, to address this growing threat. By enabling their developers to keep these secrets out of code in the first place, our solutions make everyone’s life easier,” Linga continued. “We are excited to work with Evolution on this next stage of our company’s growth.”

Unusual Ventures, Point72 Ventures, SignalFire, and Firebolt Ventures also participated in BluBracket’s latest funding round. The startup had previously raised $6.5 million in a seed round led by Unusual Ventures.

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Source: https://venturebeat.com/2021/05/13/code-scanning-platform-blubracket-nabs-12m-for-enterprise-security/

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Data governance and security startup Cyral raises $26M

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Data security and governance startup Cyral today announced it has raised $26 million, bringing its total to date to $41.1 million. The company plans to put the funds toward expanding its platform and global workforce.

Managing and securing data remains a challenge for enterprises. Just 29% of IT executives give their employees an “A” grade for following procedures to keep files and documents secure, according to Egnyte’s most recent survey. A separate report from KPMG found only 35% of C-suite leaders highly trust their organization’s use of data and analytics, with 92% saying they were concerned about the reputational risk of machine-assisted decisions.

Redwood City, California-based Cyral, which was founded in 2018 by Manav Mital and Srini Vadlamani, uses stateless interception technology to deliver enterprise data governance across platforms, including Amazon S3, Snowflake, Kafka, MongoDB, and Oracle. Cyral monitors activity across popular databases, pipelines, and data warehouses — whether on-premises, hosted, or software-as-service-based. And it traces data flows and requests, sending output logs, traces, and metrics to third-party infrastructure and management dashboards.

Cyral can prevent unauthorized access from users, apps, and tools and provide dynamic attribute-based access control, as well as ephemeral access with “just-enough” privileges. The platform supports both alerting and blocking of disallowed accesses and continuously monitors privileges across clouds, tracking and enforcing just-in-time and just-enough privileges for all users and apps.

Identifying roles and anomalies

Beyond this, Cyral can identify users behind shared roles and service accounts to tag all activity with the actual user identity, enabling policies to be specified against them. And it can perform baselining and anomaly detection, analyzing aggregated activity across data endpoints and generating policies for normal activity, which can be set to alert or block anomalous access.

“Cyral is built on a high-performance stateless interception technology that monitors all data endpoint activity in real time and enables unified visibility, identity federation, and granular access controls. [The platform] automates workflows and enables collaboration between DevOps and Security teams to automate assurance and prevent data leakage,” the spokesperson said.

Cyral

Existing investors, including Redpoint, Costanoa Ventures, A.Capital, and strategic investor Silicon Valley CISO Investments, participated in Cyral’s latest funding round. Since launching in Q2 2020, Cyral — which has 40 employees and occupies a market estimated to be worth $5.7 billion by 2025, according to Markets and Markets — says it has nearly doubled the size of its team and close to quadrupled its valuation.

“This is an emerging market with no entrenched solutions … We’re now working with customers across a variety of industries — finance, health care, insurance, supply chain, technology, and more. They include some of the world’s largest organizations with complex environments and some of the fastest-growing tech companies,” the spokesperson said. “With Cyral, our company was built during the pandemic. We have grown the majority of our company during this time, and it has allowed us to start our company with a remote-first business model.”

VentureBeat

VentureBeat’s mission is to be a digital town square for technical decision-makers to gain knowledge about transformative technology and transact. Our site delivers essential information on data technologies and strategies to guide you as you lead your organizations. We invite you to become a member of our community, to access:

  • up-to-date information on the subjects of interest to you
  • our newsletters
  • gated thought-leader content and discounted access to our prized events, such as Transform 2021: Learn More
  • networking features, and more

Become a member

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://venturebeat.com/2021/05/13/data-governance-and-security-startup-cyral-raises-26m/

Continue Reading

AI

Data governance and security startup Cyral raises $26M

Avatar

Published

on

Join Transform 2021 this July 12-16. Register for the AI event of the year.


Data security and governance startup Cyral today announced it has raised $26 million, bringing its total to date to $41.1 million. The company plans to put the funds toward expanding its platform and global workforce.

Managing and securing data remains a challenge for enterprises. Just 29% of IT executives give their employees an “A” grade for following procedures to keep files and documents secure, according to Egnyte’s most recent survey. A separate report from KPMG found only 35% of C-suite leaders highly trust their organization’s use of data and analytics, with 92% saying they were concerned about the reputational risk of machine-assisted decisions.

Redwood City, California-based Cyral, which was founded in 2018 by Manav Mital and Srini Vadlamani, uses stateless interception technology to deliver enterprise data governance across platforms, including Amazon S3, Snowflake, Kafka, MongoDB, and Oracle. Cyral monitors activity across popular databases, pipelines, and data warehouses — whether on-premises, hosted, or software-as-service-based. And it traces data flows and requests, sending output logs, traces, and metrics to third-party infrastructure and management dashboards.

Cyral can prevent unauthorized access from users, apps, and tools and provide dynamic attribute-based access control, as well as ephemeral access with “just-enough” privileges. The platform supports both alerting and blocking of disallowed accesses and continuously monitors privileges across clouds, tracking and enforcing just-in-time and just-enough privileges for all users and apps.

Identifying roles and anomalies

Beyond this, Cyral can identify users behind shared roles and service accounts to tag all activity with the actual user identity, enabling policies to be specified against them. And it can perform baselining and anomaly detection, analyzing aggregated activity across data endpoints and generating policies for normal activity, which can be set to alert or block anomalous access.

“Cyral is built on a high-performance stateless interception technology that monitors all data endpoint activity in real time and enables unified visibility, identity federation, and granular access controls. [The platform] automates workflows and enables collaboration between DevOps and Security teams to automate assurance and prevent data leakage,” the spokesperson said.

Cyral

Existing investors, including Redpoint, Costanoa Ventures, A.Capital, and strategic investor Silicon Valley CISO Investments, participated in Cyral’s latest funding round. Since launching in Q2 2020, Cyral — which has 40 employees and occupies a market estimated to be worth $5.7 billion by 2025, according to Markets and Markets — says it has nearly doubled the size of its team and close to quadrupled its valuation.

“This is an emerging market with no entrenched solutions … We’re now working with customers across a variety of industries — finance, health care, insurance, supply chain, technology, and more. They include some of the world’s largest organizations with complex environments and some of the fastest-growing tech companies,” the spokesperson said. “With Cyral, our company was built during the pandemic. We have grown the majority of our company during this time, and it has allowed us to start our company with a remote-first business model.”

VentureBeat

VentureBeat’s mission is to be a digital town square for technical decision-makers to gain knowledge about transformative technology and transact. Our site delivers essential information on data technologies and strategies to guide you as you lead your organizations. We invite you to become a member of our community, to access:

  • up-to-date information on the subjects of interest to you
  • our newsletters
  • gated thought-leader content and discounted access to our prized events, such as Transform 2021: Learn More
  • networking features, and more

Become a member

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://venturebeat.com/2021/05/13/data-governance-and-security-startup-cyral-raises-26m/

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