Operant AI, a Silicon Valley-based deep-tech cybersecurity startup, has introduced AI Gatekeeper, a real-time security platform. The company said it is designed to protect live AI applications, agents, and Agentic AI workflows across various environments, including Kubernetes, hybrid, private, and edge infrastructures.
The new tool aims to address increasing security challenges posed by the rapid adoption of autonomous AI agents, especially in high-growth markets like India.
The growing reliance on third-party vendors for AI deployment raises concerns over data governance and security, including data leakage and rogue agent behaviour. AI Gatekeeper addresses these issues by offering protections against rogue agents, model poisoning, and unauthorised data access.
“The AI that we are now securing is a completely new beast compared to even two years ago,” said Vrajesh Bhavsar, CEO and co-founder of Operant AI. He emphasised that AI’s rapid evolution requires a comprehensive security solution that extends across all deployment environments.
This platform offers unique features such as trust scoring, agent access controls, and threat blocking for Model Context Protocols (MCPs) and Non-Human Identities.
It now supports a broad range of AI platforms, including those used for large data systems, LLMs, and AI agents, providing enterprises with enhanced threat modelling and advanced runtime protection capabilities.
Last month, the company launched its operations in India to offer real-time security solutions for the country’s rapidly growing AI sector.
Operant AI’s expansion was driven by the increasing demand for robust security measures in industries like fintech, healthcare, and enterprise software. Having secured $13.5 million in Series A funding from venture capital firms Felicis and SineWave, the startup has made a strategic entry into India.
The startup also aims to align with the ‘Make in India’ initiative by providing AI-native security solutions that allow Indian enterprises to scale AI applications securely.
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