ATTACK GRAPH · VALIDATED PATHS
Map validated paths from exposure to business impact.
Not a model of what might be possible — a graph of what was proven, hop by hop, from entry point to crown-jewel asset.
REACHABILITY VALIDATEDCROWN-JEWEL SCOPEDTOXIC COMBOSBUSINESS IMPACT
PRODUCT · ATTACK MAP
The map attackers already have. Now you do too.
See which identities, workloads, and controls actually connect exposure to impact — not just which ones could in theory.
WHAT TEAMS SEE
Answer the questions attackers already know.
Where does an attacker begin, how do they move, what stops them, and what breaks if they succeed?
⚑
Crown jewels
Define the apps, services, systems, identities, and data that matter most — and monitor paths that threaten them.
⇢
Reachability
Internet-to-asset, workload-to-service, API-to-database, identity-to-resource, container-to-cluster.
⚿
Identity paths
How permissions, roles, service accounts, tokens, and trust relationships enable progression.
◐
Runtime presence
Confirm affected components exist in an active environment. Distinguish inventory risk from operational risk.
⚠
Toxic combinations
Public exposure + weak auth, exposed token + excessive privilege, control failure + missing detection.
★
Business impact
Connect validated paths to sensitive data, revenue services, regulated systems, and ransomware blast radius.
IN PRACTICE
Real scenarios teams validate today.
Concrete outcomes — not abstractions. Every scenario ships with telemetry, safety, and evidence contracts.
"
We finally moved beyond scanner findings and started patching the paths that actually reach revenue.
DK
Daniel Kim
Head of Cyber Defence · European Insurer
TRUSTED BY SECURITY TEAMS AT
Nexpro
atlas.fi
LinnINC
Expedier
BY THE NUMBERS
Attack paths at Fortune 500 scale
Attack Graph Intelligence connects millions of assets, identities, findings, controls, and runtime facts — then marks each edge validated or inferred so security programs can prioritize what is truly reachable.
GRAPH NODES · ENTERPRISE AVG
2.4M
assets, identities, findings, controls
VALIDATED EDGES
480K+
with direct evidence backing
CHOKE POINTS SURFACED
340
across customer graphs to date
CROWN-JEWEL PATHS · MEDIAN
118
per Fortune 500 tenant
PRIORITIZATION LEADERS ON THE ATTACK GRAPH
Prioritization leaders on the Attack Graph
"We stopped ranking findings by CVSS alone. Path-based prioritization surfaced the two fixes that broke the most crown-jewel-reaching paths in the entire program."
EZ
Ethan Zabala
Head of Vulnerability Management · Atlas.FI
"The distinction between validated and inferred edges is the reason my engineering leaders trust the graph. No more arguing about theoretical paths."
IV
Ines Vogel
Principal Security Architect · Expedier
"One choke-point remediation closed 14 validated paths across three business units. That level of clarity was impossible with a topology-only graph."
MW
Marcus Whitehall
CISO · Atlas.FI Retail
ENTERPRISE-READY BY DEFAULT
Attack Graph Intelligence is deployed across industries whose environments are too large to secure asset-by-asset.
Visit the Security & Trust Center →COMPLIANCE
Audit-ready programs
SOC 2 · ISO 27001 · GDPR · CCPA · HIPAA-friendly · PCI-DSS-aligned
IDENTITY
Enterprise SSO & SCIM
OIDC · SAML · SCIM · IdP federation · MFA policy
DEPLOYMENT
Regional data residency
US · EU · UK · Private Runner in customer VPC · CMK options
SECURITY
Encryption everywhere
TLS 1.3 · AES-256 at rest · Managed secrets · CMK options
ENTERPRISE ROLLOUT
Attack graph baseline in week two; validated-path deltas in the executive readout.
A dedicated Enterprise Deployment team runs a repeatable playbook — security review, tenant setup, integrations, scoped pilot, and executive readout.
WEEK 1
Graph baseline
Assets, identities, findings, controls loaded from customer integrations.
WEEK 2
Validated overlay
Genesis runs establish direct evidence on top of the graph baseline.
WEEK 3
Choke-point review
Top 20 choke points reviewed with engineering and prioritized.
WEEK 4
Readout
Path-based prioritization brief for CISO and business owners.
ENTERPRISE FAQ
Questions we hear from Fortune 500 buyers
How do you distinguish modeled paths from validated ones at scale?+
Every edge is either inferred (from static data) or validated (with direct evidence). The graph shows both and never blurs them together.
Can the graph be exported?+
Yes. GraphQL export, JSON snapshot, and STIX-compatible outputs are available for downstream analysis and reporting.
What happens when a fix is deployed?+
The affected paths are automatically re-evaluated. Interrupted paths drop out of the validated overlay; regressions are flagged for immediate revalidation.
How large a graph can Hayrok handle?+
Deployed environments include graphs of several million nodes with sub-second query performance. Enterprise-scale by design.
Every path, validated. Every jewel, mapped.
Move beyond isolated findings and understand the paths capable of producing meaningful business impact.