← Front PageAI Security Desk
AI Security
Why Policy in Amazon Bedrock AgentCore chose Cedar for securing agentic workflows
Policy framework addresses fundamental security challenge of non-deterministic AI agent behavior in enterprise automation workflows.
Summary written by editorial AI · Source link below
Agents have agency: they adapt and find multiple ways to solve problems. This autonomy creates a fundamental security challenge: the large language model (LLM) at the heart of the agent is non-deterministic, and its decisions can’t be predicted or guaranteed in advance. It can hallucinate harmful actions with complete confidence. It’s vulnerable to prompt injection […]
Continue at the source
Read the full report at AWS Security BlogExternal link — opens at AWS Security Blog in a new tab.
§
Continue with
More from the AI Security Desk
- Hugging Face warns an autonomous AI agent hacked its network20 Jul
- Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking20 Jul
- Hidden in Thought: Transferable Chain-of-Thought Artifacts Induce Harmful Behavior20 Jul
- Poison to Detect: Detection of Targeted Overfitting in Federated Learning20 Jul
- Coercion and Deception in AI-to-AI Management: An Agentic Benchmark of Unprompted Escalation20 Jul