AttackGraphs maps architecture, identities, vulnerabilities, and controls into a living attack graph, then ranks the paths and choke points that determine how a breach moves.
A scanner returns thousands of findings ranked by severity. Attackers don't work that list. They follow the few findings that connect: an exposed service that reaches an over-permissioned identity, then a flat network segment that reaches the data. AttackGraphs models those connections as a directed graph and computes the paths a spreadsheet can't.
Assets, identities, network segments, vulnerabilities, and cloud roles, pulled from the tools you already run.
Each edge is a concrete move (exploit, credential reuse, lateral hop) with the precondition that makes it possible.
Every route from an entry point to a crown jewel, scored by feasibility and impact rather than CVSS alone.
Four capabilities move an environment from scattered findings to a ranked, defensible set of fixes that close the most attack paths.
Enumerate every reachable multi-stage path across identity, network, cloud, and OT, and recompute as the environment changes.
Rank the nodes where the most paths converge, so a single fix removes many routes at once.
Select any asset and see what an attacker reaches from it, before an incident makes the answer costly.
Export exposure trends for leadership and path-level evidence for auditors, each traced back to the graph.
Most teams are overwhelmed because they treat every finding as independent. On a graph they are not. Paths converge through a shared credential, a flat subnet, a trusted VPN. AttackGraphs ranks the nodes where the most attack paths pass, so one change removes exposure that a thousand patches would not.
Choke points are re-scored every time the graph changes, so the list is never stale.
Each recommendation shows paths removed against the cost to fix, so trade-offs stay explicit.
A slice of one environment, from internet-facing entry points on the left to crown-jewel systems on the right. Hover any node to light the paths that run through it.
Ranked by feasibility and business impact
Findings align to the frameworks your reviewers, regulators, and board already recognize, with no translation step in between.
Map the IT-to-OT paths where a network move turns into a physical outage.
Trace identity and role chains across accounts before an attacker does.
Replace hand-drawn attack graphs with ones that recompute continuously.
Plans and per-seat pricing are set at general availability. Early-access spots are open now.
Attack graphs are only credible if the platform behind them is. AttackGraphs is designed for procurement and security review from the start.
SAML, OIDC, and SCIM provisioning out of the box.
Scoped by workspace, graph, and export, with least privilege by default.
Every read, edit, approval, and export is recorded and signed.
Cloud, single-tenant, or fully air-gapped for sensitive estates.
Graphs and evidence available as structured, queryable data.
Anything the engine cannot verify is flagged, never silently assumed.
AttackGraphs is the computational core. Two companion sites cover the operational platform and the reference knowledge behind the method.
Computes attack paths, choke points, blast radius, and evidence across architecture, identity, vulnerabilities, cloud, IT, and OT.
You are hereThe full modeling workflow, from architecture to attack paths, controls, detections, and audit-ready evidence for security, cloud, and OT teams.
Visit AttackModelingA reference for model families, build workflows, and the primary sources you can cite in research and engineering.
Visit AttackModelsScope a graph of your own environment with our team, or start on a sample estate.