Industry
Technology and SaaS
Protect tenant data while product teams ship quickly, answer enterprise security reviews and introduce AI features that create new application and model attack surfaces.
Each hop validated by successful exploitation
Security context
Why technology and saas needs proof
A SaaS company can move from a small engineering-led security process into demanding enterprise reviews without changing how quickly it ships. Tenant data becomes the crown jewel, while customer questionnaires, penetration-testing requests and SOC 2 or ISO 27001-oriented assurance increase pressure for evidence. AI features add another security surface that traditional application testing may not cover.
Priority validation areas
- Validate authorization boundaries around tenant data.
- Test web applications and APIs continuously as the product changes.
- Identify exposed secrets and credentials connected to production.
- Understand customer-controlled SaaS and identity reachability.
- Red-team AI features and model changes before release.
- Produce evidence that can support enterprise security reviews.
Where RedMaw stops
Testing and evidence, not certification
RedMaw provides security testing, validation, evidence, reporting and control mapping. It does not certify, audit, act as a regulator or QSA, guarantee compliance, or replace legal, auditor or certification-body judgment.
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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.
- AI SecurityAdversarial testing of deployed AI systems and release pipelines, aimed at how the system behaves when the input is hostile rather than expected.
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.