Operant AI Launches AI Gatekeeper™ to secure Agentic AI and boost Runtime Protection for Indian Businesses
Moving beyond Kubernetes, Operant’s 3D Runtime Protection is now available across public, private and hybrid cloud platforms
Silicon Valley headquartered Operant AI, has launched AI Gatekeeper™, a real-time security application for live AI applications, agents and Agentic AI workflows—across Kubernetes, private, hybrid, and edge environments.
AI Gatekeeper™ goes beyond Operant’s existing 3D Defense capabilities, offering industry-first protections against rogue agents—such as trust scoring, agentic access controls, and threat blocking for Model Context Protocols (MCPs) and Non-Human Identities (NHIs).
As organisations rapidly adopt autonomous AI agents and complex multi-agent workflows, especially in high-growth markets like India, security challenges have escalated.
Operant’s new AI Gatekeeper™ capabilities include:
- Runtime Defense for AI across Public, Private, and Hybrid Clouds
- Moving beyond Kubernetes, Operant’s 3D Runtime Protection is now available across public, private and hybrid cloud platforms
- Live comprehensive catalogs of all AI workloads, AI agents, tools, models, and all AI platforms that automatically update with the use of AI in an organization (includes providers such as OpenAI, Deepseek, Cohere, Anthropic, Hugging Face and more)
- Additional support for large data platforms, LLM and AI Agent platforms
- Defense analytics on all deployed AI defenses, providing unprecedented transparency into the threats that are being blocked at runtime
- Cross-Platform Threat Modeling
- Cohesive AI Security Graphs mapping and flagging highest risk data flows between AI workloads, Agents, and AI APIs across all platforms on which they operate
- Out of the box mappings to OWASP Top 10 threat vectors for AI/LLMs and AI Agents, including sensitive data leakage, API key and secrets leakage, prompt injection, and data poisoning risks – with deep insights into actual threats and the workloads/APIs that are affected
- Advanced Threat Detection for AI Agents
- Supply chain risks for AI agents, with mapping of trust scores and boundaries
- Unauthenticated and unauthorized AI agent detection and defense with blocking capabilities
- Least privilege runtime execution and least permissioned trust boundaries for AI agents
- Protection for MCP and AI NHIs
- Beyond AI API security, AI Gatekeeper also includes supports for Model Context Protocol
- Detection and defense for both runtime and API access layers of agent tools built with MCP
- Expanded coverage for identity and access controls with support for AI NHIs
