There is a version of AI security that most enterprises are still building: add a content filter, run a jailbreak test before launch, redact obvious secrets from outputs, and declare the model protected. That posture made sense in 2023, when the threat model was simple. A user types something bad into a chatbot. It is no longer 2023. Today's enterprise AI stack is an ecosystem of autonomous agents that read emails, browse the web, execute code, call APIs, and chain tool outpu

The AI Security Stack Is Fracturin Generative AI security has entered a phase where simple prompt filtering is no longer enough. Most organizations still treat AI security as a moderation problem. They deploy a classifier, add a blocklist, redact obvious secrets, and assume the model is protected. That approach fails quickly in production environments where the attack surface includes tools, memory, retrieval systems, agents, system prompts, MCP servers, plugins, browser acti

When you build or deploy AI models, protecting sensitive information is not just a nice-to-have - it’s a must. You might wonder, how can you ensure your AI systems respect privacy without sacrificing performance? The answer lies in adopting robust AI data privacy strategies that safeguard data throughout the AI lifecycle. This post will walk you through practical, actionable steps to secure data privacy in AI models, helping you innovate confidently and responsibly. Why AI Da

Artificial intelligence is transforming industries at a breakneck speed. But with great power comes great responsibility. When you deploy AI models, especially in enterprise environments, you face a critical challenge: data protection in AI systems. How do you ensure your AI innovations don’t compromise sensitive information? How can you build trust with your users and regulators while still pushing the boundaries of what AI can do? This post will guide you through the comple

What is Runtime LLM Protection? Runtime LLM protection is a security layer that sits between your application and the large language model it calls. It intercepts every prompt before it reaches the LLM, scans it for sensitive data, and ensures that confidential information never leaves your environment in a form the model provider can read or store. The word "runtime" is important. Unlike security measures applied during development or testing, runtime protection oper

What is AI Red Teaming? AI red teaming is the practice of systematically attacking an AI system to find security vulnerabilities before adversaries do. A red team simulates the techniques a malicious actor would use against your large language model (LLM), your AI agents, and your AI-powered application, then documents every finding with a prioritized remediation plan. The term comes from military and cybersecurity practice, where a "red team" plays the role of the attacker s

Your VP of Sales forwards you an email at 5pm. Subject: "Vendor Security Assessment : Please Complete by Friday." You open the document. 120 questions. Section 8: "AI/ML Security Controls" : 47 questions you've never seen before. "How do you prevent prompt injection attacks?" "Have you conducted third-party red teaming on your LLM?" "What controls prevent sensitive data leakage through AI outputs?" You write vague answers. Procurement comes back with follow-ups. The deal s

What Are AI Agent Security Risks? {#what-are-risks} AI agent security risks refer to vulnerabilities that emerge when autonomous AI systems are granted access to organizational data, tools, and workflows without proper governance controls. Unlike traditional software security threats, AI agent risks typically stem from misconfigured permissions, over-broad access scopes, and missing guardrails rather than malicious attacks. Key Definition: AI Agents vs. Traditional Software

What Happened in the CISA ChatGPT Incident? In August 2025, Madhu Gottumukkala, the acting director of the U.S. Cybersecurity and Infrastructure Security Agency (CISA), uploaded sensitive government documents marked "For Official Use Only" (FOUO) to the public version of ChatGPT. CISA's automated security systems immediately triggered multiple alerts, launching a Department of Homeland Security investigation. CISA ChatGPT Incident Key Facts: Who : Acting CISA Director Madhu G