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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.
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By Kovrr
A GRC program that produces documents quarterly cannot file a regulatory notification in four hours. The sentence carries the whole modernization argument, and the four-hour figure is not rhetorical. Under DORA, an EU financial entity classifying an incident as major has four hours to send an initial notification, then twenty-four hours for an initial report, seventy-two for an intermediate one and a month for the final.
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By Kovrr
Directors ask for AI risk reporting because oversight failure is personally actionable. Under the Caremark line of cases, a board that cannot demonstrate it monitored a material risk carries exposure of its own, and AI has moved into that category for most enterprises. The request is rarely curiosity about the technology. The framing determines what belongs in the pack.
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By Kovrr
NIST AI RMF and ISO/IEC 42001 answer different questions, so the choice is rarely about which one is better. One gives you a risk process your engineering teams can run. The other gives you a management system an auditor can certify. Organizations that treat them as rival options usually pick the wrong one for the problem in front of them.
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By Kovrr
The EU AI Act reached a turning point this summer, and the headlines got it half right. Obligations for high-risk AI systems were postponed to December 2027 under the Digital Omnibus, adopted in June 2026. The transparency rules under Article 50 were not postponed, and they apply from August 2, 2026. Enterprises reading spring 2026 guidance are working from a timeline that no longer exists, and enterprises reading the headline about a delay may believe nothing is due.
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By Kovrr
An annual control assessment produces evidence that a control operated on one day out of three hundred and sixty-five. Sampling narrows it further, since testing twenty-five items from a population of a thousand evidences the control for those twenty-five on that day. The certificate describes a moment and gets read as a year. Continuous control monitoring closes that interval by testing automatically and often.
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By Kovrr
A support coordinator has a difficult letter to write. The customer record is open in one tab, a consumer AI assistant in another, and the deadline is this afternoon. She selects the record, copies it, pastes it into the prompt box, and asks for a polite draft. Thirty seconds later she has a good letter and a regulatory problem, and nobody in the organization knows about either. The sequence below traces that single action through to its consequences.
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By Kovrr
Most cyber risk appetite statements cannot be breached. A board approves language about maintaining a low tolerance for disruption, the statement enters the policy library, and no observable event in the following three years violates it. A statement no event can cross is a value rather than a control. Making one testable requires four terms that get used interchangeably and mean different things, thresholds expressed in units something can exceed, and a defined response for when it does.
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By Kovrr
Enterprise AI guardrails are the technical controls that prevent AI systems from doing things they shouldn't, applied at the moment of execution rather than after the fact. They sit between the AI model or agent and the systems, data, and users it interacts with, filtering inputs, inspecting outputs, and constraining behavior against enterprise policy.
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.