NVIDIA, Protect AI, Lakera, and other vendors offer AI agent security frameworks designed to defend against prompt injections and tool hijacking in 2026. These tools provide multi-layered defenses inc…
AEGIS, an AI security platform, now covers all seven major attack vectors—prompt injection, agent hijacking, MCP attacks, RAG poisoning, supply chain, model extraction, and vector database breaches—wi…
Getdebug CLI 0.4.0 adds Python AI-app regex prefilters for five categories (prompt-injection, unsafe-role-merge, pii-in-prompt, unbounded-stream, unsafe-tool-output), running in milliseconds with no L…
A developer evaluated five AI privacy tools—AI Privacy Gateway, LLM Guard, Nightfall, Private AI, and Microsoft Presidio—comparing them on deployment model, latency, streaming support, offline capabil…
A developer benchmarked four Python AI-application security scanners—Bandit, Semgrep, vulnhuntr, and getdebug—against ten hand-written Python fixtures and the simonw/llm codebase. Getdebug achieved 10…
The article compares five leading AI security and guardrails tools for 2026: LLM Guard, NeMo Guardrails, Guardrails AI, Vigil, and Rebuff. It explains that these tools protect autonomous AI agents fro…