Compliance
Show what personal data a real weakness can expose.
Validated findings connected to the personal data they actually reach, with remediation and retest evidence: the technical input to an Article 32 discussion.
Surfaces this draws on
The translation problem
A vulnerability is not the same as a data-protection outcome.
Security teams receive findings in technical language: broken object authorization, leaked token, public share, excessive permission, weak authentication, exposed API.
Privacy and leadership teams need a different answer.
What personal data becomes reachable because of this?
From technical finding to personal-data exposure
Consider an authorization weakness in an API. A traditional finding might read:
Expected
GET /api/customers/4831
Broken object-level authorization on /api/customers/{id}.
Adversarial
GET /api/customers/4832
Can one user retrieve another customer's personal data? If yes, the finding can be described in terms of the personal data actually exposed.
The same principle applies to compromised SaaS identities, public sharing, exposed credentials, application authorization failures and overly broad permissions.
Article 32
Appropriate technical measures
GDPR Article 32 requires appropriate technical measures. RedMaw contributes to that evidence by continuously testing relevant technical controls and preserving the results: what was tested, which exposure was validated, which personal data was reachable, what remediation was recommended, when it occurred, and whether the exposure remained exploitable after the fix.
That does not replace the broader organizational and legal analysis around Article 32. It gives that analysis technical evidence.
Customer-controlled SaaS exposure
Organizations increasingly store personal data in SaaS systems. RedMaw evaluates the customer-controlled side of that access model: users, roles, permissions, OAuth relationships, public or external sharing, leaked tokens and keys, and customer-managed configuration.
RedMaw does not attack the SaaS provider itself. The purpose is to understand what your own identity and configuration choices make reachable.
After remediation
From “exposed” to “no longer reachable”
A privacy-risk statement is more useful when it can move from
personal data is exposed
to
the exposure was remediated and the attack no longer succeeds.
That is what the auto-retest loop provides. The ticket does not become the final security state. The retest does.
Reporting
Breach-risk reporting, quantified carefully
The GDPR breach-risk report connects findings to the personal data exposed, the relevant GDPR considerations, and language a board can act on.
Output
What RedMaw provides for GDPR
All of it produced by the security work itself, not assembled separately at audit time.
- Validated exposure evidence
- The affected application, identity or SaaS system
- Personal-data context for the exposure
- Reproducible technical detail
- Finding history and remediation status
- Retest evidence and executive reporting
Other frameworks
Same loop, different evidence
Make GDPR evidence easier to produce.
Continuously validate exposure, preserve the evidence, and re-test remediation.