Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

kovrr

Browser AI Events in the SOC: What to Send and What to Suppress

Aug 19, 2026 By Kovrr In Kovrr
Browser-layer AI monitoring produces events, and the natural next step is forwarding them to the security operations center. Consider what they arrive into. Industry research for 2026 puts false positives at close to half of all alerts, with around forty-two percent going entirely uninvestigated. ‍ Browser AI events are behavioral anomaly alerts, and behavioral anomaly alerts are the category analysts already deprioritize, precisely because they are noisy by nature.
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2026 H1 Threat Review: AI, Ransomware & Emerging Cyber Threats

Aug 19, 2026 By Forescout Technologies In Forescout
Cyber threats continue to evolve, and the first half of 2026 delivered no shortage of new challenges. Forescout Research – Vedere Labs' 2026 H1 Threat Review examines the latest trends in vulnerabilities, ransomware, threat actor activity, supply chain security, and AI-driven attacks. Discover the key findings, emerging attack patterns, and practical recommendations security teams can use to better understand and reduce risk.
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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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TITAN AI Demo Series: Driftnet Power-Filtering for Threat Hunters

Aug 19, 2026 By SecurityScorecard In SecurityScorecard
Threat hunting often means following a lead without knowing where it will take you. Your search tools shouldn’t make you choose between exploring a hunch and losing your original results. Driftnet gives threat hunters multiple ways to refine artifact searches as they investigate. Use Add Filter to explore a narrower view without changing the underlying query, Add to Query to make that refinement persistent, or exclude artifacts to quickly zero in on what remains.
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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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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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