Theta Lake has been awarded an ISO/IEC 42001 certification validating transparency and trust in its AI capabilities.
Theta Lake explained that the new validation makes it the first AI-native vendor in DCGA to both provide detailed transparency and explainability product features.
“The pairing of our rapid pace of building deep AI technology, delivered with more certified explainability, security, and trust than the rest of our market, is just another example of our leadership,”
Rich Sutton, CTO and Co-founder of Theta Lake, said.
For customers, especially those in regulated fields, this certification helps them understand that their provider’s use of AI is held to secure conditions.
This announcement comes alongside a raft of new features for the Theta Lake AI Governance and Inspection Suite, including capabilities to detect AI jailbreaking and new API endpoints that integrate AI comms with observability and security platforms.
The Certification Gap in AI-Driven Communications Tools
ISO/IEC 42001 is an international standard for AI management systems. It requires organizations to document how their AI systems operate, what data they use, how they protect that data, and how they make decisions.
The certification addresses questions that many DCGA vendors struggle to answer clearly: What technology powers your AI? What customer data does it access? How is that data protected? How does your AI reach its conclusions?
This is significant because these systems process confidential communications—executive discussions, customer interactions, and proprietary information. Without third-party validation, enterprises must accept vendor claims at face value.
Theta Lake’s certification provides a verifiable framework for how its AI systems handle data throughout their lifecycle, from initial training through ongoing operations.
Detecting a New Category of Insider Risk
In addition to being awarded the certificate for how it handles its AI systems, Theta Lake’s new features aim to protect those systems from outside threats.
Jailbreaking represents an emerging threat category specific to generative AI systems.
Users craft prompts designed to circumvent the restrictions built into large language models, potentially exposing information the AI shouldn’t access or generating inappropriate content.
