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By Kovrr
As GenAI tools become embedded in core business operations, the governance programs meant to oversee them are still catching up. Closing that gap requires visibility into where AI operates and the ability to express exposure in financial terms that leadership can act on. The organizations best positioned to manage AI risk are those that have already started treating it as a measurable business variable rather than an abstract operational concern.
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By Kovrr
At its root, cyber risk management is essentially a forward-looking discipline. The goal has never been solely to understand current exposure, but to determine which actions will reduce it most effectively, given the organization's priorities and constraints. Organizations today can assess control maturity and quantify financial exposure with increasing precision, giving security and GRC leaders a more comprehensive picture of their risk landscape than ever before.
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By Kovrr
The EU AI Act places significant emphasis on documentation because regulatory oversight depends on an organization's ability to demonstrate how its AI systems operate and how associated risks are managed. Compliance is not determined solely by how an AI system performs, but by whether the organization can provide evidence that appropriate governance, risk controls, and oversight mechanisms are in place throughout the system lifecycle.
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By Kovrr
The European Union's Artificial Intelligence Act (EU AI Act) represents the first comprehensive attempt by a major regulator to establish legal oversight of artificial intelligence. Its objective is to ensure that AI systems deployed across the EU operate safely, transparently, and in a manner that protects fundamental rights.
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By Kovrr
Cyber risk management plays a foundational role in enabling business resilience. As organizations today rely more heavily on digital infrastructure than ever before, the world's cyber threats have direct implications for operational continuity and revenue stability. The ability to manage these risks proactively, therefore, determines how well a company can absorb disruption and maintain performance under pressure.
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By Kovrr
Kovrr's AI Governance Suite, released in November 2025, was designed to help organizations bring structure to how they assess and manage AI risk. Since then, it has been adopted by dozens of CISOs and AI GRC professionals operating in environments where GenAI tools and other AI systems were already embedded into daily business operations. Through their usage and feedback, however, a clear pattern emerged.
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By Kovrr
The Monetary Authority of Singapore's (MAS) Consultation Paper on Guidelines on Artificial Intelligence Risk Management, released in November 2025, dramatically altered how AI is positioned within the country’s financial supervision. The document states that the proposed Guidelines "set out MAS' supervisory expectations relating to AI risk management in financial institutions (FIs)" (p.3).
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By Kovrr
Artificial intelligence (AI) systems and GenAI tools are no longer merely being experimented with in the market. Instead, they are being embedded into the organizational infrastructure at large, shaping how enterprises process data, automate decisions, and provide core services to customers. Unfortunately, while this integration increases efficiency, it simultaneously increases exposure to a dramatic extent.
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By Kovrr
Artificial intelligence (AI) systems and generative AI (GenAI) tools have already been embedded across enterprise operations in a myriad of ways that trigger compliance obligations, both in terms of AI-specific regulations and other reporting mandates. In many cases, this adoption is occurring informally, through employee-driven tools or AI features embedded within third-party platforms, without centralized visibility or approval.
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By Kovrr
Lack of data has rarely been a challenge that cybersecurity leaders in the enterprise setting have faced. In fact, cyber risk data is usually in abundance. The obstacle, thus, is instead twofold. Teams must first make sense of all of that information, and leadership must then be able to communicate what it means in a language that supports high-level decision-making. That gap between information and deeper understanding is where many cyber risk programs flounder.
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
Join us for a monthly insightful session where each month we will: Walkthrough our CRQ platform Unveil exciting new product features (when applicable) Conduct Interactive Q&A Session.
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By Kovrr
Join Kovrr and Dmitriy Sokolovskiy, former CISO at Avid, as he shares his experience and provides highlights and Insights on his CRQ Journey. Some of the topics that Dmitriy will discuss.
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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.