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By Kovrr
Most explanations of financial cyber risk modeling cover what it is. The more useful material is what surprises people once they have a model in front of them, because several of the outputs run against intuition and get misread in predictable ways. Seven of those are worth knowing before the first results arrive. None requires a statistics background, and each one changes how a number should be read or reported.
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By Kovrr
An AI governance platform demo shows you the present. Compliance posture at seventy-nine percent, four controls needing attention, a register of systems with owners attached. Every figure describes today, and the demo is persuasive precisely because today is legible. An audit asks a different question.
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By Kovrr
Security programs price control work as an investment decision. What does the fix cost, what does it remove, does the return justify the spend. The framing answers whether to do something and says nothing about the cost of the interval before it gets done. An unimplemented control accrues expected loss for every month it stays unimplemented.
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By Kovrr
OpenTelemetry graduated from the Cloud Native Computing Foundation in May 2026, which formally settled a question the industry had answered informally years earlier. It is the standard way applications emit telemetry, second only to Kubernetes in contributor volume, and native across every major observability backend. A security and governance company has a specific reason to care.
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By Kovrr
Security awareness receives a disproportionate share of attention relative to the exposure phishing carries. Modeled against initial access technique, valid account abuse accounts for around a quarter of expected annual loss in a typical portfolio, exploitation of public-facing applications around a fifth, and human error around a seventh. Phishing appears sixth, at roughly seven percent.
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By Kovrr
An AI compliance audit is less mysterious than its absence from most planning suggests. Someone outside the organization reads what you wrote down, then samples real systems to test whether the organization does what the documents describe. The distance between those two things is where findings come from. Three different exercises get called an AI audit, and they run differently. Certification against a management standard follows a defined two-stage process.
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By Kovrr
Three organizations had their production systems compromised by an AI model in April, and found out in late July when the model's developer called them. None of them had detected the activity. One was a security company whose own package scanner was the entry point. Anthropic published that account on July 30, nine days after OpenAI disclosed a related incident of its own.
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By Kovrr
The answer changed on a specific date. Until the start of 2026, most organizations were covered for AI losses by silence rather than by grant, because policies neither affirmed nor excluded AI and the question would have been argued at claim time. On January 1, 2026 the standard forms organization introduced generative AI exclusion endorsements for commercial general liability, and carriers began attaching them at renewal.
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By Kovrr
Security budget requests fail on arithmetic rather than on argument. A finance function asked to approve spending wants the same information it requires from every other proposal, being what it costs, what it returns and over what period. Most security cases supply the first, describe the second qualitatively, and omit the third. Return on security investment closes that by expressing the benefit as reduced modeled loss rather than as reduced likelihood of an unspecified bad outcome.
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By Kovrr
AI Security Posture Management arrived as a term before it arrived as a definition. Vendors announced products under the label through 2025 and in volume at RSA Conference 2026, each describing a somewhat different scope, and buyers now evaluate a category whose boundaries depend on who is selling. The lineage is evident, since AI-SPM follows cloud and data security posture management, and the inherited assumptions are where the difficulty starts.
For years, security and risk managers have relied on spreadsheets to track their cyber risk. But as regulatory expectations tighten and threats grow more sophisticated, manual tracking cannot keep up. In this video, Kovrr walks through what a modern cyber risk register looks like when cyber risk quantification is built into its foundation. We cover.
For years, CISOs have walked into boardrooms with technical data dumps that don't land. In this video, Kovrr breaks down the 7 cybersecurity metrics that actually resonate with board directors, all framed in the financial and business terms they use to govern the enterprise. We cover: Generated with the help of AI.
live webinar with Aaron Turner, IANS Faculty, who presents findings from his recent IANS research, 7 Steps to Securing Multi-AI Deployments, and explain how security teams can apply proven principles to modern AI systems.
Kovrr’s new AI Risk Governance Suite gives enterprises the visibility, structure, and measurable control needed to manage GenAI responsibly across its full lifecycle. Join us for Office Hours: Part 1, where Or Amir will walk through the first three modules of the suite—showing how enterprises can gain real-time oversight and quantifiable insight into their AI landscape: Discover how these capabilities help enterprises align innovation with accountability—building a defensible foundation for responsible GenAI adoption.
In this session, Or Amir, Product Manager at Kovrr, showcases our new AI Risk Assessment and AI Risk Quantification modules — helping enterprises gain visibility, benchmark maturity, identify shadow AI, and turn exposure into measurable outcomes.
Explore Kovrr’s brand-new CRQ-Powered Cyber Risk Register — a first-of-its-kind solution that’s redefining the way organizations build cyber GRC programs and manage cyber risk. Led by Or Amir, Product Manager at Kovrr, this session will offer a hands-on deep dive into the risk register’s extensive capabilities and show you why moving beyond static, spreadsheet-based registers to a fully quantified, dynamic risk intelligence framework is necessary for achieving resilience in today’s landscape.
On June 15, 2024, half a year after the SEC's cybersecurity regulations were enacted, smaller organizations—those with a public float under $250 million or annual revenue under $100 million—were finally subject to report material cyber events on Form 8-K, Line 1.05. However, as the larger entities have already demonstrated, determining materiality can be complex, requiring stakeholders to consider financial loss, compromised data records, operational impacts, and more.
* Explore some of the top use cases for which our on-demand CRQ platform is utilized, walking through the specific features and how to leverage them for each of the use cases. These use cases include high-level communication and board reporting, insurance optimization, budgeting, and additional resource justification.
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By Kovrr
Join us for a monthly insightful session where each month we will: Walkthrough our CRQ platform Unveil exciting new product features (when applicable)
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By Kovrr
Join us for a monthly insightful session where each month we will: Walkthrough our CRQ platform Unveil exciting new product features (when applicable)
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By Kovrr
By its nature, cyber risk is dynamic. New events happen and evolve all the time, making it difficult for enterprises to financially quantify their financial exposure to cyber attacks. Around two years ago, for example, distributed denial-of-service (DDoS) attacks were making headlines, and now ransomware has come into heightened focus. It's reasonable to believe that other types of attacks will emerge in another two years and continue to change thereafter.
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By Kovrr
The number of data breaches reported in the first 6 months of 2022 has put this year on track to be the lowest year of reports in the last 5 years for large US corporations. By looking at the rate at which data breach events have been reported so far this year, we predict that the number of events reported is expected to be 15-20% of the number of breaches reported in 2021
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By Kovrr
The 2022 Verizon Data Breach Investigations Report (DBIR), the fifteenth such report in as many years, leads off with a startling statistic: Credentials are the number one overall attack vector hackers use in data breaches. Use of stolen credentials accounts for nearly half the breaches studied by Verizon, far ahead of phishing and exploit vulnerabilities, which account for 19% and 8% of attacks, respectively. Botnets, the fourth most common entry path for hackers, represent a mere 1% of attacks.
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Kovrr financially quantifies cyber risk on demand. Our technology enables decision makers to seamlessly drive actionable cyber risk management decisions.
Kovrr's Quantum Cyber Risk Quantification platform enables decision makers to understand and financially quantify the changing profile of their cyber risk exposure.
Cyber Risk Management Made Easy:
- Communicate Cyber Risk in Financial Terms: Enhance the board and C-Suite’s decision-making process by financially quantifying cyber risk.
- Cybersecurity Investment Optimization: Prioritize and justify cybersecurity investments based on business impacts and risk reduction.
- Measure Cyber Security Programs’ Effectiveness: Assess the ROI of your cybersecurity program and stress test it based on potential risk mitigation actions, thereby supporting better resource allocation.
- 3rd Party Vendors Cyber Risk Exposure Analysis: Financially quantify cyber risk within your supply chain. Gain insights Into 3rd and 4th party exposure.
- Regulatory Compliance and Governance Reporting: Meet increased demands from regulators to continuously quantify and manage cyber risk exposure.
- Cyber Insurance Coverage and Price Optimization: Identify gaps between risk mitigation impact versus risk cyber insurance spending and needed coverage for 1st party and 3rd party.
- Quantitatively Benchmark and Compare your Cyber Risk Exposure: Benchmark to your industry peers and internally compare between different business entities in a consistent, measurable and accurate way.
A cyber risk management platform to quantify custom cyber risk scenarios.