SecOps agents
SecOps agents: security posture, analysed continuously
SecOps agents are AI agents that analyse security posture across network, infrastructure and identity. They rank vulnerabilities by whether they are actually reachable, correlate threat intelligence with what the network is doing, flag unusual identity behaviour, and order patching by exploitability and impact rather than by raw severity score.
What these agents take on
The hard part of security operations is rarely finding issues - it is deciding which of thousands matter this week. Each of these agents narrows that list using context the scanner does not have.
How this differs from what you have
| Scanner output | SIEM correlation | Agentic SecOps | |
|---|---|---|---|
| Ranks by | CVSS score | Rule matches | Real exposure and reachability |
| Network context | None | Partial | Correlated with live network signals |
| Identity signals | Separate tool | If ingested | Analysed for anomalous behaviour |
| Output | A long list | Grouped alerts | A short, ordered list with evidence |
| Acts | No | Pre-written playbooks | Yes, after human approval |
The agents
- CVE Risk Analysis Agent — prioritises vulnerabilities based on real exposure and impact.
- Exposure & Patch Prioritization Agent — maps reachable risks and guides patching by exploitability and impact.
- Threat & Recon Analysis Agent — correlates threat intel and network signals to surface emerging risks.
- User Behavior Risk Analysis Agent — flags anomalous identity activity and potential account compromise.
What makes them safe to run in production
- Read-only by default. Analysis needs no write access. Anything that changes state waits for a person to approve it.
- Your data stays put. Agents query the systems where it already lives, with no copy and no migration.
- Every run is auditable. Inputs, tool calls, conclusion and approver are recorded.
- Your model, your environment. Cloud, Fabrix-managed or on-premises, including sovereign and air-gapped deployments.
Questions we get asked
What are SecOps agents?
SecOps agents are AI agents that continuously analyse security posture across network, infrastructure and identity. They prioritise vulnerabilities by real exposure, correlate threat intelligence with network signals, and flag anomalous identity activity, so teams work the risks that actually matter.
How is exposure-based prioritisation different from CVSS?
A CVSS score describes a vulnerability in the abstract. Exposure-based prioritisation asks whether that vulnerability is reachable in your estate, what it would affect, and how exploitable it is in practice. The same CVE can be urgent on one host and irrelevant on another.
Do these agents replace a SIEM?
No. They work alongside the security and observability tools already in place, reading from them rather than replacing them, and adding cross-domain correlation and prioritisation on top.
Can an agent apply a patch?
Patch guidance is produced by the agent; applying it is a state-changing action and requires human approval. Analysis is read-only by default.
What identity signals are used?
The User Behavior Risk Analysis Agent looks for anomalous identity activity that may indicate account compromise, correlated with the other security and network signals rather than judged in isolation.
See these agents at work in your own stack.
Request a demo