Tumeryk, a leader in AI trust, security, and governance, has been named a Gartner Cool Vendor in AI Cybersecurity Governance for 2025. The recognition highlights vendors that help organizations balance innovation with safety, compliance, and resilience in their AI initiatives.
“Today’s era of Sovereign AI requires a foundation of trust,” said Rohit Valia, Founder and CEO of Tumeryk. “Being recognized as a Gartner Cool Vendor validates our mission to make agentic and conversational AI reliably safe. As enterprises increasingly explore smaller, open-source, and privately hosted AI models alongside cloud-hosted LLMs, ensuring visibility, control, and trust has never been more critical. Tumeryk’s AI Trust Score™ and real-time guardrails allow organizations to innovate responsibly while maintaining compliance and customer confidence across both cloud and self-managed environments.”
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Driving measurable AI trust and governance
Tumeryk’s platform provides enterprise-grade trust and security for agentic and conversational AI. The AI Trust Score™ continuously evaluates risks at the model, application, and interaction levels—including bias, toxicity, hallucinations, PII exposure, jailbreak potential, and off-topic outputs—and triggers remediation through Tumeryk AI Guardrails. This allows organizations to safely and compliantly leverage generative AI, whether via public chat services like ChatGPT and Perplexity or their own agentic AI applications.
The AI Trust Manager incorporates Nvidia NeMo Guardrails and aligns controls with emerging frameworks and regulations, such as the EU AI Act, ISO 42001, and NIST AI risk management guidelines. By embedding governance throughout the AI lifecycle, Tumeryk enables enterprises to implement Sovereign AI, giving them the capability to deploy, monitor, and enforce policies independently of external providers.
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Collaborative ecosystem for AI security
Tumeryk’s platform integrates with leading security and observability solutions. Recent partnerships include encrypted guardrails for operational AI security with DataKrypto and integrated risk detection and remediation workflows with Wiz. These integrations allow enterprises to identify AI assets, assess risks in real time, and enforce policy-aligned protections across infrastructure and applications.
“Organizations can confidently innovate with AI, knowing that every token—from retrieval through RAG vector databases or MCP servers to the final output—is aligned with policy and fully protected,” Valia added. “Trust isn’t something added after deployment—it must be built into the system from the start.”
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