That is why I’m so proud that AI Gatekeeper can bring Operant’s unique defensive capabilities to everywhere customers are deploying AI, whether it’s on Kubernetes or a Private Cloud, or both, alongside critical new capabilities for protecting sensitive data and the rest of the application environment from the new attack surface that is being fueled by rapid Agentic AI adoption.” 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 platformsLive 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 platformsDefense 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 operateOut 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 boundariesUnauthenticated and unauthorized AI agent detection and defense with blocking capabilitiesLeast 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 ProtocolDetection and defense for both runtime and API access layers of agent tools built with MCPExpanded coverage for identity and access controls with support for AI NHIs "We are seeing three trends happening right now: First, incredibly fast deployment of AI models and AI Agents for novel use cases; second, adoption of new platforms beyond the traditional cloud providers; and lastly, the requirements and responsibilities for security, infrastructure, data infosec and AI converging,” said Raj Yavatkar, CTO of Juniper Networks.
AI Gatekeeper™ blocks rogue AI agents, LLM poisoning, and data leakage wherever AI apps are deployed, securing live AI applications end-to-end beyond Kubernetes and the EdgeSAN FRANCISCO, April 16, 2025 (GLOBE NEWSWIRE) -- Operant AI, the world's only Runtime AI Defense Platform, today announced AI Gatekeeper™, a groundbreaking new product that brings end-to-end runtime AI protection to everywhere enterprises are deploying AI Applications and AI Agents – from Kubernetes to hybrid and private clouds.
Operant’s AI Gatekeeper launch comes on the heels of Operant being named as a representative vendor in Gartner’s Market Guide for AI Trust, Risk, and Security Management (AI TRiSM), and mentioned in Gartner’s recent research note, "How to Secure Custom-Built AI Agents.” Operant’s AI Gatekeeper™ is now available for all qualified customers.
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