AI & TechArtificial IntelligenceCybersecurityNewswireTechnology

Operant AI Endpoint Protector secures AI agents and MCP tools

▼ Summary

– Operant AI launched Operant Endpoint Protector, which discovers, detects, and defends against threats across AI tools, coding agents, and MCP-connected workflows at the endpoint.
– Employees across departments use AI tools that access sensitive data, creating a critical blind spot for security teams, as many tools are unsanctioned and operate over encrypted channels.
– The endpoint is identified as the largest blind spot in enterprise security because existing tools cannot inspect the semantic layer where AI agents reason and act.
– The solution is a native application for macOS, Windows, and Linux, deployable via MDM and JAMF, and integrates with identity providers for contextual AI governance.
– Endpoint Protector supports private-mode and hybrid architectures for regulated industries like finance and healthcare, ensuring data sovereignty and control.

Operant AI has unveiled the Operant Endpoint Protector, a new capability within its AI Defense Platform designed to help enterprise IT and security teams discover, detect, and defend against threats across every AI tool, coding agent, and Model Context Protocol (MCP)-connected workflow used by employees. The solution operates directly at the endpoint, where the most consequential AI activity occurs.

Securing the endpoint

Across nearly every department, from HR and finance to legal, customer service, engineering, and operations, employees are engaging with AI assistants, coding agents, and MCP-connected tools that interact with personnel records, financial systems, customer data, source code, and proprietary workflows. Many of these tools are sanctioned, but a significant number are not. Regardless of their approval status, these tools are reading, writing, and acting on the most sensitive business information, leaving CIOs and CISOs increasingly unable to locate, monitor, or stop any of it.

The threat landscape has evolved. Shadow AI has moved beyond simple browser access to native applications that employees rely on daily. AI IDEs and coding agents accelerate engineering velocity but introduce new vectors for code injection, secrets leakage, and data exfiltration. Meanwhile, MCP enables agents to invoke tools, call services, and take real-world actions, often over trusted, encrypted channels that traditional security tools were never designed to inspect.

“Security leaders are waking up to the reality that their AI exposure doesn’t live in one place , it lives everywhere their employees and agents do,” said Vrajesh Bhavsar, CEO of Operant AI. “The endpoint is where AI actually meets the workforce. It’s been the largest blind spot in the enterprise security stack , and it’s the gap we built the Operant Endpoint Protector to close.”

Traditional enterprise security stacks were built to monitor processes, packets, and SaaS traffic. This leaves them blind to the semantic layer where AI agents reason and act inside trusted applications over encrypted protocols. No incumbent category can discover every AI tool and MCP client in use, detect threats inside the agent loop, or stop exfiltration inline, creating a critical blind spot precisely where employees and agents handle the most sensitive work.

Introducing Operant Endpoint Protector

Operant Endpoint Protector is purpose-built to discover, detect, and defend in real time across every AI prompt, MCP server, skill, tool, and plugin in the enterprise, directly at the endpoint, regardless of where it lives.

The solution is delivered as a native workstation application for macOS, Windows, and Linux, built for enterprise-scale rollout. Security and IT teams can deploy it across thousands of endpoints through standard MDM and JAMF workflows. It integrates directly with the enterprise identity provider (IdP) to bring contextual IAM and agentic identity enforcement to every user, role, and AI interaction, aligning AI governance with the provisioning, access, and lifecycle controls organizations already trust.

For organizations in regulated and critical industries, Endpoint Protector also supports private-mode deployments, including hybrid architectures where sensitive prompts, agent traces, and detected data remain inside the customer’s environment, and private-SaaS options with full data residency. This makes Operant deployable in financial services, healthcare, government, and critical infrastructure environments where sovereignty and data control are non-negotiable.

Operant’s 3D Protection, purpose-built for the AI and agentic ecosystem, powers Endpoint Protector’s suite of real-time defense capabilities, giving security teams full discovery and control across every AI tool, MCP server, skill, and agent in use.

(Source: Help Net Security)

Topics

endpoint security 98% shadow ai 95% ai agents 94% mcp security 93% data exfiltration 92% enterprise security stack 91% real-time defense 90% ai governance 89% Regulatory Compliance 88% identity enforcement 87%