6 min read
Vulnerabilities How injected instructions in tool outputs can escalate an agent's effective permissions, exfiltrate data, and pivot to internal services — a novel attack class for agentic AI.
Vulnerabilities
CVEs, exploits, and security flaws in AI frameworks, models, and infrastructure.
4 min read
Vulnerabilities Model inversion and training data extraction attacks allow adversaries to recover PII, proprietary data, and trade secrets from fine-tuned LLMs exposed via API.
5 min read
Vulnerabilities How malicious content in external data sources can hijack agent behaviour in LangChain, LlamaIndex, and AutoGen-style agents via indirect prompt injection through tool responses.