AI agents are autonomous systems that combine an LLM reasoning engine, memory, tools/APIs, and a feedback loop to pursue goals with minimal human intervention — going beyond generative AI's output-only model. In cloud security, they offer significant potential: continuously monitoring for misconfigurations against compliance baselines (CIS, NIST), triaging and enriching alerts with contextual risk prioritization, accelerating threat hunting by correlating runtime signals and cloud telemetry, and executing or guiding remediation workflows. Sysdig's Sysdig Sage is highlighted as a multi-agent implementation that works across cloud, container, and Kubernetes environments to reduce MTTD and MTTR. Frameworks like LangChain and LlamaIndex are mentioned as common orchestration layers for building agents.
