Relentless AI Red Teaming
Enhancing StackAware customer security with continuous ethical hacking coverage.
The artificial intelligence (AI) attack surface is expanding—fast.
Models can:
Leak data
Misbehave under pressure
Create new attack surfaces
StackAware’s answer: Relentless AI Red Teaming.
It’s not a scan.
It’s not a one-time audit.
It’s a continuous, full-coverage assault on your AI systems.
How does it work?
You keep us up-to-date on your models and systems.
We give an anonymized list to ethical hackers.
They scour it to find vulnerabilities.
We tell vendors to patch the bugs.
Or help mitigate risk if they don’t.
What do I get?
1. Continuous assessment: this isn’t an annual review. We test vendors and models you use continuously for both AI-specific and infrastructure-level vulnerabilities.
2. Ethical by design: we follow vendor disclosure, bug bounty, and terms and conditions. Our goal is to expose risks, not generate drama.
3. You’re always covered: if a vendor ignores a bug, we help you apply compensating controls. We don’t disclose anything publicly unless there is a fix in place. And you’ll get insights on how to manage the risk before a patch is available.
Pursuing or maintaining ISO 42001 certification?
This helps implement several annex A controls like:
A.6.2.4 - AI system verification and validation
A.6.2.6 - AI system operation and monitoring
A.8.3 - External reporting
Who does the testing?
StackAware is proud to partner with Daniel Kalinowski and team as part of the pilot program. With 322 (and counting) vulnerabilities identified and responsibly disclosed, he is a leader in ethical hacking and AI system verification.
How do I sign up?
This is LIVE for current StackAware customers. And a feature all new ones get going forward.
So if you need help managing AI risk, and are a security or technical leader in:
Life sciences
Healthcare
B2B SaaS