Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

I Faked a Receipt with ChatGPT

Mar 17, 2026 By Razorthorn Security In Razorthorn
Generative AI can produce realistic taxi receipts, complete with stains and wear, which blend into digital expense workflows that expect only a quick photo upload. As more organisations move to app based reimbursement, synthetic documents slip through unless controls, audits and behavioural checks keep pace with these tools. ⸻ For more information about us or if you have any questions you would like us to discuss email podcast@razorthorn.com. We give our clients a personalised, integrated approach to information security, driven by our belief in quality and discretion..
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Snyk

I Read Cursor's Security Agent Prompts, So You Don't Have To

Mar 17, 2026 By Randall Degges In Snyk
Cursor's security team built four autonomous agents that review 3,000+ PRs per week, catch 200+ vulnerabilities, and open fix PRs automatically. The engineering is impressive, and the prompts are shockingly simple. But there's a meaningful gap between "LLM agents reviewing PRs" and "enterprise security program," and that gap is exactly where things get interesting.
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cato networks

Meet the Industry's First GPU-Powered SASE Platform with Native AI Security

Mar 17, 2026 By Sangita Patel In Cato Networks
AI has moved from experimentation to a strategic enterprise imperative. It’s no longer about whether organizations will adopt AI, but whether their security architecture can govern it at the speed and scale at which it is being embedded into the business. This is not a future concern. It is today’s operational mandate to: Securing AI is not limited to software applications and agents.
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mend

Introducing AI-powered Contextual Project Classification: From severity scores to business risk

Mar 17, 2026 By Tiffany Jennings In Mend
Today, Mend.io is launching Contextual Project Classification, an AI-native feature that automatically analyzes your codebase to identify which applications handle sensitive data like payments, healthcare records, and PII, enabling true risk-based security prioritization.
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knowbe4

From Phishing to AI Agents: Can We Design for Digital Mindfulness?

Mar 17, 2026 By Anna Collard In KnowBe4
Anyone who knows me knows I’m passionate about mindfulness. Because I genuinely believe it makes us better humans. But also, because I have one of those brains that desperately needs it. I’m easily distracted and I start new ideas before finishing old ones. My attention can scatter in a hundred directions. I wrote before how I clicked on a phishing test because I was multitasking and running on autopilot. And that moment really changed the direction of my career and my research.
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bitsight

Are AI Security Tools the New EDR? Attackers Are Treating Them That Way

Mar 17, 2026 By Emma Stevens In BitSight
AI security tools are no longer just defensive layers. They are high value targets being studied, fingerprinted, and bypassed much like traditional endpoint detection and response (EDR) platforms and antivirus solutions were in their early days. The speed and scale at which these tools are being deployed makes reactive defense increasingly unsustainable.
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protecto

Why Synthetic Data for AI Fails in Production

Mar 17, 2026 By Amar Kanagaraj In Protecto
Synthetic data has been fine for testing software for decades. Traditional apps follow rules. You check inputs, check outputs, file a bug when something breaks. AI is different. AI gets deployed into the situations where the rules aren’t clear and context is everything. The edge cases aren’t exceptions. They’re the whole point. That changes what your test data needs to look like.
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protecto

How a Fortune 50 Company Deployed Agentic AI at Scale Without Losing Control of Their Data

Mar 17, 2026 By Protecto In Protecto
In late 2025, a Fortune 50 enterprise decided to deploy autonomous AI agents across core business operations. Customer support that could reason through complex issues. Supply chain systems that could adapt in real time. Product managers with AI assistants pulling insights from dozens of data sources simultaneously. The capabilities that made the agents useful also introduced a problem nobody had a clean answer for. These weren’t chatbots locked inside a single application.
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