Continuous pentesting
Keep adversarial testing current between manual engagements, so meaningful changes can be tested instead of waiting for the next scheduled assessment.
Solutions
Start with the security problem, not the product menu.
RedMaw supports organizations that want to operate continuous adversarial security themselves, and organizations that want the outcome managed for them.
Both models begin with the same question
What can an attacker actually reach?
Track A
Run adversarial security as a platform
Some teams already have strong security and engineering ownership. Their problem is not that nobody can operate a security product.
Their problem is that existing tools produce too many possible findings and too little proof.
Use it to
- Continuously test applications and APIs
- Validate SaaS and identity exposure
- Test AI systems in development and release workflows
- Preserve reproducible evidence
- Prioritize by attacker reachability
- Route remediation into existing engineering workflows
- Re-attack fixes before closing findings
Especially relevant for technology companies and teams that already have security engineering capability but want adversarial validation to become continuous.
Track B
Get the outcome without building the whole function
Other organizations have the opposite problem. They know they need continuous validation, but security is already stretched across too many responsibilities.
The blocker is operating capacity.
Relevant to
- Stretched security teams
- Regulated organizations
- Companies facing DORA or NIS2-driven validation requirements
- Teams preparing for enterprise security reviews
- Organizations without a dedicated red-team function
- Teams that need dedicated deployment and internal connectivity
RedMaw operators run and triage testing, maintain cadence, review validated findings and prepare evidence, while the customer controls authorization, scope and remediation.
Use cases
What security teams prove with RedMaw
Different entry points into the same operating model.
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.
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.
AI red-teaming
Adversarially test deployed AI and model changes for prompt injection, disclosure, jailbreaks, control bypass and security regressions before those behaviors reach production.
Compliance validation
Produce compliance-oriented evidence directly from the security-testing and remediation process instead of rebuilding the technical story separately when an audit or review begins.
Detection validation
Use RedMaw's recorded adversarial actions as a controlled reference that your security team can correlate against its own telemetry and alerting today.
Roadmap: not shipped
Attack-path thinking runs across all four surfaces today through a shared adversarial model and findings state. The deeper automation that chains every step end to end is planned, not shipped.
- Automated cross-surface attack-path chaining
- Detection-gap scoring
Industries
Security context changes. Proof does not.
RedMaw adapts scope and controls to the environment while keeping the standard of evidence consistent.
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.
Financial services
Continuously validate exposure around customer financial data, payment flows and regulated digital services while preserving evidence for resilience and DORA-oriented security programs.
Insurance
Validate the systems and identities around policyholder and claims data while supporting resilience, underwriting scrutiny and security programs that span modern and legacy technology.
Healthcare
Protect patient records across applications, identities and third-party clinical access while producing evidence that supports GDPR, NIS2 and security-governance workflows.
Retail and ecommerce
Protect customer PII and card data by validating application exposure and watching the payment page where third-party scripts can create client-side skimming risk.
MSP and MSSP
Operate continuous adversarial validation as part of a managed customer security program without turning unsupported partner features into product claims.
One findings state underneath every solution
The use case changes. The security lifecycle does not.
- 01
Discover
Map the applications, identities, integrations, infrastructure and AI systems in authorized scope.
- 02
Attack
Execute adversarial technique against the environment as it is actually configured.
- 03
Prove
Capture evidence of what succeeded and what it reached.
- 04
Prioritize
Rank by reach and consequence, and identify path chokepoints.
- 05
Remediate
Hand engineering the path, the evidence and the fix that breaks it.
- 06
Re-attack
Re-test the path. A finding closes only when it can no longer be walked.
Re-attack feeds the next Discover. The loop does not restart from zero. It carries the security state forward.
Stop assuming you are secure. Prove it.
Tell us what you need to validate, and how you want to operate it.