Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Risk Management: Defining, Measuring, & Mitigating the Risks of AI

Aug 19, 2026 By Kovrr | AI Security & Governance | Cyber GRC In Kovrr
AI is merging into the modern workplace at roughly the pace computers did in the 1980s, and the risks are evolving just as fast. IBM and Ponemon found that 97% of organizations hit by an AI-related security incident lacked basic access controls, and 63% had no AI governance policy at all. In this video, Yakir breaks down the seven categories of AI risk every GRC leader needs to understand, and what separates knowing you have a control gap from knowing what it will cost you.
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How to Choose a React Native Development Company for AI-Driven Mobile Projects

How to Choose a React Native Development Company for AI-Driven Mobile Projects

Aug 19, 2026 By SecuritySenses In SecuritySenses
AI-driven mobile apps grow more complex every month. The gap between a team that can actually ship one and a team that merely claims they can is wider than most product managers expect. Wrong hires cost you four to six months of rework on top of the initial build, a brutal, avoidable tax. So if you're planning a mobile product that uses machine learning, on-device inference, or real-time AI features, vendor selection deserves far more rigor than skimming a portfolio and firing off a request for proposal.
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kovrr

The EU AI Act's Missing Standards: What to Do Before They Arrive

Aug 18, 2026 By Kovrr In Kovrr
Organizations preparing for the EU AI Act keep asking which standard to certify against, and the honest answer is that the ones that will matter are not finished. No harmonized standard has been cited in the Official Journal, and nothing available today confers presumption of conformity with the Act's requirements for high-risk systems. ‍
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kovrr

Multi-Agent AI Systems: When Separation of Duties Dissolves

Aug 18, 2026 By Kovrr In Kovrr
Every enterprise control framework assumes the entity that requests an action and the entity that approves it are different. Multi-agent workflows quietly dissolve that assumption. Three agents each holding modest, individually reasonable permissions can compose an action none of them was authorized to take, and no single permission grant looks wrong in a review. ‍ That is the distinguishing property of multi-agent systems rather than a harder version of single-agent risk.
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jfrog

Frontier AI Application Security: Every Second Counts

Aug 18, 2026 By Matan Libis In JFrog
Somewhere in the last few months, the math of application security quietly broke. Anthropic’s Claude Mythos Preview didn’t just analyze code, it found a 27-year-old vulnerability in OpenBSD, a 16-year-old bug in FFmpeg, and a 17-year-old remote code execution flaw in FreeBSD, entirely on its own. Then it went further: it built working exploits for them. No human guidance. No months of manual research. And by Anthropic’s own account, this is only a preview of what’s coming.
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veracode

Managing LLM Code Security at Scale with Hybrid SAST

Aug 18, 2026 By Pete Zavlaris In Veracode
The amount of code being generated in the era of AI is staggering, and some non-trivial percentage of that code is insecure. According to the 2026 GenAI Code Security Report, roughly 44% of AI generated code test produced a known vulnerability. Organizations are more reliant than ever on cybersecurity programs that can scale at the velocity of AI while still managing risk with guardrails, governance, and compliance standards.
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How Businesses Can Adopt AI Tools Without Compromising Security

How Businesses Can Adopt AI Tools Without Compromising Security

Aug 18, 2026 By SecuritySenses In SecuritySenses
Someone in marketing starts using an AI writing tool. A finance team member feeds spreadsheets into an AI summariser because it saves an hour every Friday. A manager wires up a chatbot to handle basic customer questions. None of it goes anywhere near IT first, and most businesses only find out after the fact, if they find out at all.
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kovrr

Managing AI Agent Identity at Scale: The Lifecycle Nobody Triggers

Aug 17, 2026 By Kovrr In Kovrr
Gartner projects the average Fortune 500 organization will run more than one hundred fifty thousand agents by 2028, against fewer than fifteen in 2025. Thirteen percent of organizations believe their agent governance is adequate today. The management approach that works for fifteen agents is memory and a spreadsheet, and neither survives four orders of magnitude. ‍
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