Use case
Attack-path validation
Prioritize security work by what a finding can reach, not only by the severity label attached to the weakness that started the investigation.
The challenge
Where assumptions break down
Severity can describe the weakness without describing the consequence. A finding on an isolated asset and a finding that exposes a credential leading toward customer data may receive similar labels while representing very different risk. Teams need to understand what the validated behavior makes reachable, even when the full path spans systems owned by different security tools.
How RedMaw approaches it
- 01RedMaw validates supported findings and records the access, identity, data or system consequence that was actually reached.
- 02Findings live in a shared security state rather than separate alert streams for each surface.
- 03Prioritization uses validated impact and available attack-path context, not severity alone.
- 04Canonical paths help teams reason about how applications, identities, secrets, cloud access and sensitive data connect.
- 05Remediation targets the security condition that enables the meaningful reachability.
- 06Automated cross-surface attack-path chaining is planned and is not presented as a current capability.
Outcome
What changes
Findings can be discussed in terms of attacker reachability.
Security and engineering share a clearer reason for prioritization.
Remediation decisions are connected to the asset, identity or data at risk.
Attack-path thinking becomes part of the operating model without overstating current automation.
Keep going
Related
Capabilities
- Internal InfrastructureEstablishing which internal servers, routers and switches can actually be accessed from an authorized foothold, and what those systems expose. Access is demonstrated and reported, never disrupted.
- SaaS & IdentityTesting the customer-controlled identity and permission graph to establish what one compromised account, key or grant can actually expose.
- Application SecurityAdversarial testing of the web applications and APIs you own and authorize, aimed at proving exploitability rather than reporting resemblance to a known pattern.
Stop assuming you are secure. Prove it.
Continuously test what an attacker can actually reach across your applications, SaaS identities, internal infrastructure and AI systems.