Records found: 6
'A step-by-step Python tutorial demonstrating a lightweight secure AI agent with PII redaction, allowlisted tooling and an optional local self-critic for auditing outputs.'
'MCP formalizes model-to-tool integrations with typed tools, resources, and prompts, enabling scoped authorization, auditable interactions, and reproducible red-team scenarios. Treat MCP servers as privileged connectors: vet, pin, and monitor them.'
'Step-by-step guide to testing OpenAI models with deepteam single-turn attacks, including prompt injection, leetspeak, Base64, ROT13 and multilingual tests.'
AI agents powered by large language models are rapidly advancing, promising to revolutionize many industries but also raising serious concerns about safety, control, and economic disruption.
Meta AI unveils LlamaFirewall, a comprehensive open-source security framework for autonomous AI agents that combats prompt injection, misalignment, and insecure code generation.
Unit 42 exposes the top 10 security risks facing AI agents today, emphasizing the need for layered defenses and secure design to protect against data leaks and malicious code execution.