Projects

Finds how separate weaknesses combine into a real attack path.

Individual findings (a weak password here, an open port there) get triaged in isolation, but attackers chain them — this shows the chain.

Shows exactly what an attacker could access after compromising one cloud identity or resource.

Cloud IAM is too complex to reason about manually; teams don't know their actual blast radius until it's tested.

Finds dangerous privilege chains in Active Directory / Entra ID.

Privilege escalation paths in AD/Entra are invisible until mapped as a graph.

Detects when and how a system became insecure, and what caused it.

Misconfigurations are found long after they're introduced, with no record of when drift happened.

Predicts which systems, shares, and accounts ransomware could spread to.

Organizations don't know their lateral-movement exposure until it's too late to matter.

Automatically verifies whether vendors actually meet security requirements.

Vendor security questionnaires are self-reported and rarely verified.

Tests whether security controls actually work, not just whether they're configured.

'Configured' and 'effective' are treated as the same thing, and usually aren't.

Finds dangerous permissions and actions in autonomous AI agents.

AI agents are being given real tool access with no systematic audit of what they're actually able to do.

Reconstructs what happened during an attack from scattered logs.

Incident response teams spend most of an investigation stitching together fragmented log sources by hand.

Treats unresolved security weaknesses like technical debt and measures accumulated risk.

Security backlogs grow silently with no equivalent of a technical-debt metric to make the risk visible to leadership.