Singulr AI Launches Unified Control Platform to Simplify Enterprise AI Governance

Singulr AI, a startup specializing in enterprise AI security and governance platforms, has launched its unified AI control platform. This solution empowers IT, security, and compliance leaders to expand AI applications while maintaining trust through integrated risk management.

The platform redefines AI governance by consolidating discovery, onboarding, and pre/post-deployment security measures into a single interface. It replaces fragmented solutions with automated, collaborative, and continuous management across all AI formats through streamlined workflows.

The solution integrates seamlessly with existing enterprise systems and operational processes to accelerate value delivery while enabling scalable, responsible AI adoption. It provides centralized visibility into the entire AI lifecycle, including application usage patterns, employee interactions, and embedded AI systems.

Automated audits, onboarding procedures, continuous risk assessment, and real-time enforcement capabilities simplify governance operations. Security teams benefit from reduced manual reviews and approval backlogs through dynamic governance controls that minimize redundancies and regulatory risks.

The platform's three-module architecture ensures comprehensive end-to-end AI governance. Singulr Pulse, the first module, functions as a continuously updated AI risk intelligence system analyzing millions of models, agents, services, and datasets in real time. It classifies and scores AI systems while recommending safer alternatives to support automated review, onboarding, and security assessments aligned with regulatory requirements.

The second module delivers application-aware AI red teaming exercises that simulate real-world threats and misuse scenarios based on intelligence from Singulr Pulse. These exercises provide continuous testing throughout the AI application lifecycle to identify vulnerabilities, policy risks, and ethical concerns in generative AI tools before and after deployment.

The final runtime protection module offers real-time defenses against prompt injection attacks, sensitive data leaks involving personal information or health records, and content policy violations. These security measures ensure safe AI implementation in production environments while maintaining data integrity and organizational trust.

"Organizations no longer need to choose between speed and security," said CEO Shiv Agarwal. "Without unified automation, AI either stagnates or becomes shadow AI. Our platform provides real-time risk intelligence and controls from pre to post-deployment, enabling rapid, confident decision-making with complete stakeholder alignment."

The venture capital-backed startup secured $10 million in Series A funding in February. Its investor roster includes Nexus Venture Partners and Dell Technologies Capital.