12 articles in this category
Machine identities now outnumber humans 40–100:1 in enterprise environments. With AI agents minting thousands of new credentials daily, NHIs have become the fastest-growing and least-governed attack surface in cybersecurity. Here is what every security team needs to know.
AI red teaming is the practice of proactively testing AI systems for security vulnerabilities and unsafe behaviors. Learn the methodology, tools like PyRIT and Garak, and how to integrate AI red teaming into your secure SDLC.
Most AI applications ship with exposed API keys, no rate limiting, and zero input validation. Here is the practical checklist for locking down your LLM API integration before something goes wrong.
AI introduces attack surfaces that traditional security tools were not built to handle. Understanding these four layers—and their distinct threats—is the foundation of any serious AI security strategy.
Microsoft Security Copilot integrates AI into every layer of your security operations. Learn deployment, top use cases, and how it changes day-to-day work for security analysts and architects.
Running AI on your own infrastructure gives you control over your data. It also means you own the security. Here is how to secure Ollama, vLLM, and other self-hosted AI deployments properly.
Cloud AI services come with strong security capabilities built in. Most breaches happen because those capabilities are never configured. Here is what to configure on each major platform.
AI security is becoming its own discipline. Whether you are a security professional, a developer deploying AI, or a leader making decisions about AI adoption, here are the fundamentals that matter.
The OWASP Top 10 for Agentic Applications 2026 defines critical security risks for autonomous AI agents. Learn how to protect your enterprise from prompt injection, rogue agents, and tool misuse with practical implementation strategies.
Exposing Azure OpenAI via public networks is a security risk for enterprise data. Learn how to build a fully private architecture using Azure Private Link, disable public access, and deploy it all via Terraform.
As AI tools become common in enterprises, so do the security risks. Learn about prompt injection, data leakage, and how to use AI safely in your organization.
Security teams are overwhelmed with alerts. Learn how AI and automation can help triage incidents, reduce response times, and let analysts focus on real threats.