AI Agents
Building and evaluating autonomous AI agents
Deep Research Agents: Add Verification
Deep research agents search and synthesize but skip verification. Learn the architecture pattern that adds claim-level fact-checking to multi-step AI workflows.
Prompt Injection Prevention: 7 LLM Defenses
Prompt injection is the #1 OWASP LLM vulnerability. Learn 7 defense strategies including input validation, output filtering, sandboxing, and instruction hierarchy.
OWASP Agentic AI Security Checklist 2026
Review the OWASP Top 10 for Agentic AI released December 2025. Covers memory poisoning, tool misuse, privilege compromise, and practical mitigation steps.
MCP Security Vulnerabilities and Authentication
Every verified MCP server lacked authentication in Knostic's 2025 audit. Explore MCP tool poisoning, RCE flaws, and how to secure MCP server deployments.
LLM Red Teaming Playbook for 2026
Red teaming LLM apps catches prompt injection, jailbreaks, and hallucinations before production. A playbook covering tools, attack categories, and workflows.
MCP Tools for AI Agents: Search and Verify
MCP search tools let AI agents query the web but none verify results. Compare Exa, Brave, and Tavily MCP servers and see where verification fits in.
AI Agent Observability Tools Compared 2026
Compare 6 AI agent observability tools: Braintrust, Langfuse, Arize, Maxim AI, LangSmith, and Webcite. Covers tracing, evaluation, pricing, and debugging.
AI Agent Testing: Fact-Check Output at Scale
AI agents chain multiple LLM calls where errors compound per step. Learn agent output verification patterns, batch testing, and CI/CD integration with code.