Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Unlock AI with GPU as a Service in VCF 9

Many IT professionals struggle to integrate artificial intelligence (AI) into their existing environments. You often find expensive hardware trapped in isolated clusters or dedicated hosts. Your infrastructure team manages access through manual ticket queues, which leads to low utilization and frustrating bottlenecks for developers. When you don’t have a standardized way to share and monitor accelerator resources, every hardware change risks downtime for your critical applications.

AI Risk Isn't Just About Models. It's About Systems.

Most discussions about AI risk focus on the models themselves. Hallucinations. Bias. Data leakage. Unpredictable outputs. These are real concerns. But they only tell part of the story. Because in practice, AI doesn't operate in isolation. It operates inside systems - and that's where the real risk begins to emerge.

Virtue AI Closes the AI Agent Security Gap with Agent ForgingGround: The First Enterprise-Scale Testing Ground for Autonomous AI

Agent ForgingGround with Built-In Red-Teaming Agents continuously evaluates and stress-tests AI agents across 50+ production-grade enterprise environments so enterprises can embrace AI agents without compromising security.

Cato AI Security: Is Your Security Stack Built for How AI Works?

AI adoption is accelerating across enterprises — often faster than security teams can respond. Employees are using AI tools and copilots across SaaS apps and workflows, creating new exposure around sensitive data, shadow AI, and attack surfaces that traditional tools weren't built to see. This video breaks down the four AI security challenges every enterprise is facing, where existing controls fall short, and how Cato AI Security gives you visibility, guardrails, and enforcement across the AI your employees use, the applications you build, and the agents acting on your behalf.

Securing Homegrown Agents in Runtime: The Value of Zenity + Microsoft Foundry

How the integration works: Zenity integrates with the Foundry control plane to inspect agent behavior and enforce security policies inline at runtime. Over the past year, Microsoft Foundry has emerged as a cornerstone for enterprises building and deploying homegrown agents at scale. Organizations across industries are using Foundry to move beyond experimentation and into production, creating AI agents that can reason, invoke tools, access enterprise data, and automate complex workflows.

I Faked a Receipt with ChatGPT

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..

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

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.