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.
This risk is growing rapidly. Theta Lake’s survey found that 99% of organizations plan to implement or expand AI in their unified communications platforms, with 92% specifically deploying generative AI assistants.
These tools—embedded in platforms like Microsoft Teams and Zoom—can summarize meetings, draft messages, and analyze conversations. Each interaction creates an opportunity for intentional manipulation or accidental policy violations.
Combined with its new observability and SIEM endpoints, Theta Lake can share detailed insights from AI communications with metadata.
This addresses the need for security teams to monitor these interactions within their existing security infrastructure.
By making AI communications data accessible through standard APIs, Theta Lake enables organizations to apply consistent monitoring and response procedures across all communication channels.
The Market Test for AI Accountability
With the ISO/IEC 42001 certification now available and vendors increasingly adopting it, procurement conversations can move from subjective vendor claims to objective, auditable standards.
Organizations can now ask specific questions: Can you provide third-party certification of your AI management system? How do you detect and prevent AI manipulation? Can your platform integrate AI communications intelligence into our existing security infrastructure?
Vendors without clear answers face credibility challenges.
Theta Lake’s approach of combining certification, threat detection, and integration highlights how AI communications can be worked into security as a whole, with agreed-upon standards.
As more organizations adopt generative AI in collaboration platforms, frameworks like ISO/IEC 42001 will likely play a growing role in setting clear expectations for responsible AI management across the industry.
