AISECOPS

How OSM AI Agents Help Your Security Team

OSM AI agents work as one system across three layers: Base AI Agents provide continuous security signal, the OSM AI Core turns that signal into shared security context, and six Advanced AI Agents execute governed workflows that turn context into decisions, actions, and reports.

UnderstandInvestigateDecideActReport

The Three-Layer Agent Architecture

AISECOPS is not a collection of isolated tools. Each layer feeds the next, so every agent reasons over the same continuously updated picture of your environment — and every conclusion is grounded in evidence, not guesswork.

01

Base AI Agents — continuous signal

Seven specialized Base AI Agents run inside the OSM platform, continuously analyzing your attack surface, applications, vulnerabilities, identities, and threat landscape. They produce the raw security signal:

  • Exposure and attack-path analysis
  • Vulnerability and asset risk assessment
  • Application security testing
  • Threat and adversary intelligence
02

OSM AI Core — shared context

The OSM AI Core correlates Base Agent output into one security knowledge layer: a continuously maintained model of assets, exposures, exploits, business impact, and control coverage. This shared context is what makes agent findings compound instead of fragment.

03

Advanced AI Agents — execution

Six Advanced AI Agents consume the shared context to run complete operational workflows — pentesting, SOC triage, application security, executive reporting, and compliance — each within governance boundaries your team defines.

Six Advanced AI Agents, Six Operational Outcomes

Each Advanced AI Agent owns a clear operational outcome. Together they cover the full security operations lifecycle — from proving risk on the offensive side to reporting it in the boardroom.

Offensive

Operations

Executive + Governance

What This Means for Your Team

Analysts focus on judgment

Agents absorb the repetitive volume — triage, enrichment, correlation, report drafting — so your analysts spend their time on the decisions that actually require human judgment.

Leaders get answers, not raw data

Because agents share one context layer, a question like "what is our real exposure this week?" has a consistent, evidence-backed answer instead of five conflicting dashboards.

Humans stay in control

Agents propose, investigate, and prepare. High-impact actions pass through approval boundaries you define. OSM AI agents augment your security professionals — they do not replace them.

See the Agents Working Together

Walk through the AISECOPS operating model to see how Base AI Agents, the OSM AI Core, and Advanced AI Agents run a complete security workflow end to end — or see it live on your own environment.