BloodHound Enterprise

Models how exposures chain across assets and identities to reach critical systems, mapping attack paths and blast radius to separate reachable crown-jewel risks from dead ends.

Ranks exposures by their accessibility, visibility, and exploitability combined with asset criticality, business impact, and the security controls already in place, so a medium-severity issue on a critical, reachable, unprotected service outranks a high-severity issue on an isolated or compensated one.

Generates trend reports on exposure posture (new exposure, remediated exposure, outstanding exposure by severity), in business language suitable for security program reviews.

Creates and tracks remediation tasks across teams and ticketing systems, measuring exposure reduction over time rather than simply listing open findings.

Discovers assets and their exposures across the external, internal, cloud, and end-user attack surfaces, covering endpoints, network and on-premises infrastructure, identities and entitlements, hosts, containers, IoT and OT, and cloud platforms and applications, either through native discovery or by integrating third-party discovery sources, and reports vulnerabilities, misconfigurations, unmanaged assets, and compliance gaps in one inventory.

Tracks the life cycle of exposures through a centralized, aggregated view supported by automated workflows.

Groups assets into business processes, applications, or protection surfaces with named owners and criticality, so each exposure management cycle is scoped to what the business must protect and exposure is assessed and reported per scope rather than across the whole estate.

Compares granted permissions against observed usage to identify entitlements that exceed what an identity actually needs, candidates for right-sizing or revocation.

Scores each identity by aggregated risk signals (excessive permissions, stale credentials, anomalous access patterns, MFA gaps) to prioritize remediation effort.

Discovers service accounts, OAuth apps, API keys, JWT tokens, and Kubernetes service accounts alongside human accounts, mapping the complete identity population.

Identifies the small set of privileges or relationships whose removal severs the largest share of attack paths, then delivers impact-aware, step-by-step remediation guidance so teams make the few changes that eliminate the most identity exposure.

Models identities, permissions, and trust relationships as a directed graph and traces the chained attack paths an adversary could follow from any identity to the organization's most critical assets, instead of scoring identity misconfigurations in isolation.

Integrates identity data, activity, relationships, and configuration from directories, identity providers, IGA, PAM, cloud platforms, and SaaS applications, including applications not yet connected to any IAM tool, into one correlated inventory of every human and non-human actor with its accounts and entitlements, the single view on which posture assessment and analytics run.