Pillar · Attack Path Validation

Real exploitable chains, not theoretical scores

Prove which chains an adversary could walk from external exposure through identity to crown-jewel data. Risk is not a score — it is a path.

See Attack Path Demo Request Demo

Reachability-validated paths only
Closure provable by replay
Per-path business impact
Multi-surface chaining

LiveAttack Path · Validated

Validated

The problem

CVSS does not describe risk; it describes vulnerability

A 9.8 CVE on a system that cannot reach business data is noise. A 6.1 misconfiguration on a system that chains into Tier-0 is critical. Traditional risk scoring conflates these.

Real risk is a path: external entry → pivot → escalation → data reach. Until the chain is validated end-to-end, the risk is theoretical.

The KeenSafe approach

Validate the chain, not the link

KeenSafe assembles individual findings into validated paths and tests them end-to-end. A finding is only "validated risk" once the chain it sits on is proven exploitable to a real impact.

Output: a small number of paths that matter, each with reproducible evidence and clear remediation. Not a thousand-page CVE list.

Capabilities

What ships in this engagement

Path Assembly

Findings are composed into chains; chains are scored only when proven end-to-end.

Crown-Jewel Mapping

Business-critical assets identified once; every path is tested against reachability to them.

Multi-Surface Chaining

External → internal → cloud → identity chains validated in a single engagement.

Trust Abuse Detection

OAuth, federation, AD trust, workload-identity-federation — abused chains validated and visualised.

Closure Replay

After remediation, the path is replayed. Closure becomes provable.

Path-to-Risk Translation

Each validated path carries its business impact narrative for executive reporting.

Attack path

How attackers actually move

A validated attack path is a graph traversal: from a starting state (e.g. unauthenticated internet attacker) to a goal state (e.g. customer PII read), with every transition tested. KeenSafe surfaces only graphs that traverse end-to-end.

Validated chain

Web → SSRF → cloud metadata → IAM

Subdomain enum→SSRF in upload endpoint→IMDSv1 token→role chain→S3

Business impact

4.1M records reachable; full path reproducible

Validated chain

OAuth consent abuse → SaaS data

Phish→consent grant→Microsoft Graph token→SharePoint read→exfil

Business impact

Tenant-wide content reachable; mapped to GDPR Art. 32

Outcomes

Measurable, evidence-backed

7→3

Validated → reachable

Median: 7 findings per chain, 3 chains actually reach crown jewels.

60%

Less remediation noise

Path-weighted prioritisation removes work that does not move the needle.

100%

Reproducible

Every path replay-deterministic; closure provable.

Per-path

Business impact

Each path carries its own crown-jewel reachability and impact narrative.

For the board

For the board: risk in business language

Boards do not buy CVSS. They buy paths to crown jewels. KeenSafe gives every quarter the same answer: "These N validated paths reach business-critical systems. We have closed M of them. Velocity is X."

Insurance, regulators and audit committees increasingly request this exact language. KeenSafe produces it natively.

Technical validation

Path validation methodology

Findings flow into the path graph; the graph runs reachability analysis from declared crown-jewel sinks; only paths that reach are surfaced as risk. Each transition is independently validated and the full path is replayed.

01
Crown-jewel system + data inventory captured at engagement start
02
Findings + identities + trust relationships flow into the path graph
03
Reachability solver identifies candidate end-to-end chains
04
Each chain validated by autonomous + manual replay
05
Validated paths shipped with evidence + remediation + business-impact

Get Started

Walk a validated path end-to-end

See one real attack path traverse external exposure to crown jewels in a guided session.

See Attack Path Demo Request Demo