14 articles
Learn how to implement comprehensive guardrails for AI agents through input/output validation, safety mechanisms, and human oversight. Prevent data leaks, prompt injections, and hallucinations while ensuring secure enterprise adoption.
Understand what AI security is, why it's fundamentally different from traditional software security, and the unique challenges posed by probabilistic AI systems.
Why traditional security models fail when applied to AI. Explore the shift from deterministic vulnerability management to probabilistic behavior control.
Why randomness is a feature, not a bug. Understand how the non-deterministic nature of AI creates unique security vulnerabilities and makes traditional testing difficult.
Words matter. Learn the critical differences between protecting against hackers (Security), preventing user harm (Safety), and ensuring AI goals match human values (Alignment).
Analyze real AI security incidents including ChatGPT data leaks, Bing Chat jailbreaks, and production system compromises. Learn from actual failures.
Understand the collapse of the traditional 'Data vs. Instructions' boundary in AI and how to redraw trust lines in LLM-powered applications.
Why LLMs make your application harder to defend. Explore the new attack vectors introduced by prompt manipulation, tool use, and long-term memory.
Who built your model? Explore the security risks associated with third-party model weights, poisoned datasets, and malicious Python libraries in the AI ecosystem.
The industry standard for threat modeling, updated for the era of intelligence. Learn how to map Spoofing, Tampering, and Elevation of Privilege to AI systems.
How to think like a manipulator. Master the mental model of 'prompt manipulation' and learn why the best AI hackers are often social engineers, not coders.
Not all threats are equal. Learn how to use the 'Likelihood vs. Impact' matrix to prioritize AI security risks and manage your resource allocation effectively.
AI is the new attack surface. Learn about prompt injection, data leakage, and model misuse, and how to build production-grade security for your AI systems.
Your data is your most valuable asset. Learn how to protect PII, prevent data leakage to LLMs, and maintain security in the age of prompt injection.