Use case
Security validation
Move from possible exposure to proven exposure by testing whether a weakness can actually create unauthorized access, data exposure or another material security outcome.
The challenge
Where assumptions break down
Security programs collect many signals that something may be wrong. A vulnerable version, weak configuration, exposed secret or risky permission is useful information, but it does not always tell the team whether an attacker can use it in context. When possibility and proven exploitability are treated the same, engineering attention is spread across findings with very different consequences.
How RedMaw approaches it
- 01RedMaw starts with authorized discovery across supported attack surfaces.
- 02It attempts controlled adversarial validation rather than promoting every observation into a confirmed finding.
- 03A finding becomes materially stronger when RedMaw can reproduce the security outcome and preserve the evidence.
- 04The evidence records the target, technique, result and remediation context in the same security state.
- 05Findings can be routed into Jira, GitHub Issues, Slack or email while RedMaw remains the source of security truth.
- 06After remediation, the relevant validation runs again to determine whether the exposure is actually gone.
Outcome
What changes
Keep going
Related
Capabilities
- 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.
- SaaS & IdentityTesting the customer-controlled identity and permission graph to establish what one compromised account, key or grant can actually expose.
- 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.
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.