Operant AI Introduces AI Gatekeeper for Securing Autonomous Agents
Operant AI's AI Gatekeeper tackles data governance and security challenges by preventing rogue AI agents, LLM poisoning, and data leaks, offering end-to-end protection for AI applications beyond Kubernetes and edge environments.
Silicon Valley-based Operant AI has unveiled AI Gatekeeper, a real-time security framework designed to protect live AI applications, autonomous agents, and complex Agentic AI workflows across Kubernetes, private clouds, hybrid setups, and edge environments. This comes as enterprises, particularly in growth markets like India, rapidly adopt autonomous AI agents with limited human oversight.
The Growing Need for AI Security
According to Deloitte, over 80% of Indian companies are exploring agent-based AI solutions, while 50% are scaling multi-agent workflows. This shift introduces new security challenges that traditional cloud and AI defenses cannot address. AI Gatekeeper steps in as an open, runtime solution built for the AI-native era, extending beyond perimeter security.
Key Capabilities of AI Gatekeeper
- Agent Trust Scoring & Access Controls: Prevents rogue agents and ensures secure communication across Agentic systems.
- MCP and NHI Protection: Safeguards Model Context Protocol (MCP)-powered tools and Non-Human Identities (NHIs) against misuse.
- Cross-Platform AI Security Graphs: Maps and monitors AI data flows, highlighting security blind spots between workloads, APIs, and AI models.
Addressing Third-Party Risks
With enterprises increasingly relying on third-party vendors and hyperscale platforms (AWS, Azure, GCP, Databricks, Snowflake, Salesforce), AI Gatekeeper mitigates risks like model poisoning, data leakage, and unauthorized agent actions. These issues are exacerbated by the rise of autonomous workflows.
Industry Endorsements
Raj Yavatkar, CTO at Juniper Networks, notes: "AI Gatekeeper enables teams to deploy faster while maintaining zero-trust controls as AI applications spread across both cloud and non-traditional platforms." The release follows Operant’s inclusion in Gartner’s AI TRiSM Market Guide, solidifying its position in the AI security space.
A Forward-Looking Solution
Vrajesh Bhavsar, CEO at Operant AI, emphasizes: "Our AI security problem today isn’t what it was two years ago. Agentic AI creates a dynamic attack surface that needs real-time, distributed protection." As AI workflows expand to wherever data resides, tools like AI Gatekeeper are poised to become foundational for securing intelligent applications.
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About the Author
Alex Thompson
AI Technology Editor
Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.