Attack Path Decision Graph

Maps cloud exposure chains, prioritizes risk by business impact, and guides remediation decisions without alert noise.

What the decision engine uses

The attack path decision graph combines seven types of cloud evidence:

  1. Cloud metadata — resources, configurations, tags, and lifecycle
  2. Identity relationships — roles, permissions, trust chains
  3. Network exposure — public endpoints, security rules, routing
  4. Security findings — CSPM results, misconfigurations, control gaps
  5. Data classification — sensitivity, storage types, replication scope
  6. Workload context — application tiers, dependencies, criticality
  7. Business context — crown-jewels, compliance scope, risk appetite

What customers get

The decision graph produces seven types of deliverables:

  1. Attack paths — exposure sequences that could reach high-value assets
  2. Crown-jewel exposure — reachability analysis from current vectors
  3. Identity risk — over-privileged, exposed, or lateral-movement identities
  4. Data exposure — sensitive stores and potential access paths
  5. Remediation priorities — ranked actions by risk reduction per effort
  6. Risk reduction tracking — progress on exposure, paths, and identity risk
  7. Compliance evidence — control status and remediation linked to frameworks

Important limitations

Attack paths are decision-support evidence based on available cloud metadata, configuration, identity relationships, and business context. Review as exposure chains, not proof of exploitation. Accuracy depends on:

  • Granted cloud permissions and API visibility
  • Third-party federation or cross-tenant trust (not always visible)
  • Runtime behavior and zero-day exploits (not modeled)
  • Application-layer authorization (outside cloud IAM scope)
  • Connected cloud scope and accuracy of business context

Ready to see your attack paths?

Start with a pilot to explore exposed paths in your environment.