AI Gatekeeper offers real-time security for autonomous agents

Silicon Valley-based Operant AI has introduced AI Gatekeeper, a real-time security framework designed to defend live AI applications, autonomous agents, and complex agentic AI workflows — across Kubernetes, private clouds, hybrid setups, and edge environments.

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With AI-native systems evolving beyond traditional models, especially in growth markets like India, enterprises are rapidly deploying autonomous AI agents.

According to Deloitte, over 80% of Indian companies are actively exploring agent-based AI solutions, while 50% are scaling multi-agent workflows — all with limited human oversight. This shift introduces new security challenges that existing cloud and AI defences aren’t built to handle. Operant’s AI Gatekeeper steps in as an open, runtime solution built for the AI-native era, extending beyond traditional perimeter security.

As enterprises increasingly rely on third-party vendors and hyperscale platforms (AWS, Azure, GCP, Databricks, Snowflake, Salesforce), Operant AI’s solution addresses risks like model poisoning, data leakage, and unauthorised agent actions — issues amplified by the rise of autonomous workflows.

AI Gatekeeper’s release closely follows Operant’s inclusion in Gartner’s AI TRiSM (AI Trust, Risk, and Security Management) Market Guide — positioning it as a key player in the security-first AI development space.

With AI workflows now expanding to wherever the data resides, tools like AI Gatekeeper are set to become foundational for securing the future of intelligent applications. “Our AI security problem today isn’t what it was two years ago,” said Vrajesh Bhavsar, CEO at Operant AI. “Agentic Al creates a dynamic attack surface that needs real-time, distributed protection.”

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A team of scientists from Japan's Hokkaido University, led by Professor Keisuke Takahashi, has developed FLUID (Flowing Liquid Utilizing Interactive Device), a groundbreaking open source robotic system designed for automating chemical experiments. Built using a 3D printer and affordable off-the-shelf electronic components, FLUID aims to make laboratory automation more accessible and customisable.