AIZA-Hextyx is built on the belief that AI systems should be rigorously tested before they are trusted — and that rigorous testing must be done responsibly, ethically, and with proper authorization.
This policy describes the ethical principles that govern AIZA's design, our expectations for how users conduct security research with our platform, and our commitment to the security research community.
Security research without authorization is not security research — it is unauthorized access. AIZA is designed from the ground up around this principle:
We built this architecture because we believe the security research community is best served by tools that make proper authorization easy and non-compliance obvious — not tools that make authorization optional.
AIZA's scan engine is built on a measurement-first philosophy. Every test phase uses one of the following approaches:
PoE Marker Detection: Rather than embedding attack payloads in test content, AIZA embeds a harmless confirmation token (AIZA-HEXTYX-POE-CONFIRMED). If the token appears in the target system's response, the injection channel is confirmed — without any harmful content being delivered.
Degradation Scoring: Rather than measuring whether a safety bypass succeeded, AIZA measures whether the target system's response quality degrades when attack framing is applied. The finding is the degradation, not the bypass.
Observable Property Measurement: Rather than attempting to extract training data, AIZA measures observable surface properties — entropy patterns, PII-format content in generated outputs, response consistency — that indicate risk without performing actual extraction.
This means AIZA does not contain, generate, or deliver jailbreak payloads, harmful content instructions, or bypass strings. Our codebase is regularly audited against this standard.
If a user discovers a genuine vulnerability in a third-party AI system through authorized use of AIZA, we encourage them to:
AIZA's report formats are designed to support professional vulnerability disclosure. The STIX 2.1 export in particular is widely accepted by enterprise security teams and government CERTs.
AIZA does not: - Conduct research on AI systems without the consent of their operators - Attempt to extract or reproduce training data from any AI system - Publish specific bypass techniques or working exploits - Share scan findings from user engagements with any third party - Use user scan data to improve our own detection capabilities without explicit consent
AIZA does: - Publish general research on AI security measurement methodology - Contribute to standards bodies developing AI security frameworks (MITRE ATLAS, OWASP LLM Top 10) - Responsibly disclose novel AI security vulnerabilities we discover in our own research - Cooperate with government agencies developing AI safety and security standards - Support the academic security research community through responsible information sharing
AIZA recognizes and supports the broader AI security research community. We believe that:
We welcome collaboration with researchers, security consultants, AI vendors, and standards bodies. Contact us at research@hextyx.com.
If you believe AIZA is being used in a manner that violates these ethics principles — or if you have concerns about AIZA's own practices — contact us:
Ethics concerns: ethics@hextyx.com Security disclosures about AIZA itself: security@hextyx.com
We take ethics reports seriously and will respond within five (5) business days.
The tools we build reflect the values we hold. AIZA exists because we believe the AI security research community needs professional-grade tooling that meets the standards enterprises and regulators expect — rigorous, authorized, documented, and defensible.
If you are using AIZA to make AI systems more secure, with proper authorization, and with appropriate care for the data you handle along the way — that is exactly what this platform is for.
— The AIZA-Hextyx Team