Operant AI’s Agent Protector Aims to Secure Rising Tide of Autonomous AI
As the enterprise world shifts from chatbots to autonomous systems, Operant AI on Thursday launched Agent Protector, a real-time security solution designed to govern and shield artificial intelligence (AI) agents.
The launch comes at a critical inflection point for corporate technology. Gartner predicts that by the end of 2026, 40% of enterprise applications will feature task-specific AI agents, a quantum leap from less than 5% today.
Although agents promise to revolutionize productivity in sectors such as financial services and healthcare, they also introduce shadow agents,  unmanaged autonomous systems with the power to access sensitive data and execute code without direct human oversight. As organizations race to deploy AI at scale, Operant AI’s new suite aims to ensure that the next wave of digital transformation doesn’t come at the cost of corporate sovereignty.
“AI agents are proliferating across enterprises faster than security teams can track them,” Operant AI CEO Vrajesh Bhavsar said. “Organizations are facing an explosion of autonomous systems with access to critical tools. Agent Protector gives teams the real-time visibility and inline control they need to safely enable innovation.”
Standard security protocols often fail to account for the unique behaviors of agentic AI. Agent Protector addresses this by offering Shadow Agent Discovery, which maps out the entire agentic landscape across cloud and SaaS environments, Operant AI contends. This includes identifying previously invisible Model Context Protocol (MCP) servers and third-party dependencies that could serve as backdoors for attackers.
Beyond simple discovery, the platform introduces Inline Protection. Unlike traditional monitoring that logs events after they occur, Agent Protector analyzes intent in real-time.
It can identify and block sophisticated threats such as privilege escalation (preventing agents from gaining unauthorized administrative rights), zero-click attacks (stopping agents from attempting shadow escapes or breaking out of designated security boundaries), and data exfiltration (recognizing and halting signals of data theft before execution.)
The solution also pioneers a zero-trust framework tailored for AI. Rather than relying on static allow or deny lists, the system employs continuous runtime re-authorization. It monitors the context of every tool call and prompt, implementing least-permissioned access to ensure an agent only interacts with the data it absolutely needs for a specific task.
For developers building custom solutions, Operant AI said it provides Secure Enclaves. The low-code framework integrates with popular platforms like LangGraph and CrewAI, allowing companies to embed security primitives directly into their agents’ DNA, making them secure by design, according to Operant AI.
