Topic starter
02/08/2026 9:38 am
TL;DR: Composable AI agents can triage alerts, investigate incidents, trigger containment, and write detections through a shared access layer, according to LimaCharlie. That shifts SOC design from advisory AI to agentic operations, where auditability, scoped permissions, and API-first access become the core governance issues.
Editorial analysis by NHI Mgmt Group, based on content published by LimaCharlie: “Composable AI Agents and the SOC That Runs Itself”.
Key questions
Q: What breaks when an AI SOC has autonomy without scoped privileges?
A: The system can overstep its intended role and take actions that were never meant to be delegated broadly.
Q: Why do agentic AI systems complicate SOC governance?
A: Agentic AI complicates governance because it turns investigation into an executable workflow rather than a passive recommendation.
Q: How do organisations decide whether agentic SOC automation is working?
A: Use a balanced scorecard.
Practitioner guidance
- Define separate identities for each agent role Model triage, investigation, containment, hunting, and detection engineering agents as distinct non-human identities with role-specific permissions and documented ownership.
- Inventory every tool exposed to agents List the telemetry sources, case actions, containment functions, and reporting actions each agent can invoke, then remove any capability not required by the role.
- Require session-level audit trails for all agent actions Log prompt, model, input, output, handoff, and state-changing action so incident review can reconstruct the full sequence of automated decisions.
Bottom line: Agentic AI in the SOC is no longer just about summarising alerts. It creates a privileged operating layer that can investigate, contain, and tune detections, which moves governance into the access model.
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02/08/2026 12:33 pm
Agentic SOCs are creating a new class of non-human identity. These agents are not just automation scripts, because they can decide, act, and hand off work across a shared access layer. That means SOC governance now has to treat AI agents as privileged operating entities with scope, evidence, and lifecycle boundaries. Practitioners should stop thinking of AI as an assistant layer and start treating it as an identity-bearing operator.
A few things that frame the scale:
- Half of companies using generative AI will deploy agentic AI by 2027, according to Deloitte's 2025 Technology Predictions.
A question worth separating out:
Q: What is the difference between advisory AI and agentic AI in security operations?
A: Advisory AI recommends actions for humans to approve, while agentic AI can observe conditions, plan a sequence, and execute steps through connected tools. The difference is operational authority. Once execution is allowed, the system needs identity controls, approval boundaries, and monitoring comparable to any privileged operator.
👉 Read our full editorial: Agentic AI in the SOC: what composable security teams change