Bengaluru : As enterprises rapidly adopt AI agents across cloud platforms, developer environments and internal workflows, Operant AI today unveiled Agent Protector, the first comprehensive security solution designed specifically for the agentic AI era. Agent Protector delivers complete visibility into both managed and unmanaged agents, real-time threat detection with inline blocking, and zero-trust enforcement purpose-built for autonomous AI systems.
The launch reflects the growing gap between the pace of AI agent adoption and existing security frameworks. While AI agents offer significant gains in productivity and automation, they also introduce new challenges around visibility, governance and control—areas where traditional security approaches fall short.
According to Gartner by the end of 2026, an estimated 40% of enterprise applications will integrate task-specific AI agents, up from less than 5% today. As these deployments scale, organizations need better security tools to maintain visibility and control over autonomous systems operating across their infrastructure. The challenge for enterprises is to establish governance that reduces risk without limiting the productivity and transformation that AI enables.
“Agentic AI is forcing financial services to redraw trust boundaries — perimeter-first security breaks down when autonomous agents can traverse apps, APIs, and data stores without a human in the loop. Operant’s real-time protection across the full agent toolchain — from MCP clients and endpoints to live, interactive agentic applications — lets technology leaders move fast without compromising customer privacy, making it a foundational control, rather than an afterthought,” said Suhel Khan, industry veteran Head of Cybersecurity at Chargebee.
The Rise of Rogue AI Agents and their growing consequences
Rogue AI refers to advanced AI systems, including autonomous agents and chatbots—that operate beyond their intended parameters due to misalignment with human oversight and safety controls. Unlike simple errors or hallucinations, rogue agent behavior may include deception, strategic manipulation, unauthorized access, or harmful actions, raising serious concerns around accountability, security, and AI governance.
Recent incidents highlight how quickly these risks are becoming real. In late 2025, threat actors were reported to have used Anthropic’s Claude in large-scale automated cyber campaigns, marking one of the earliest documented cases of agentic AI misuse in the wild. In parallel, rogue agents were observed self-organizing on social media platforms such as
Moltbook to enhance shared memory systems—raising alarms about uncontrolled agent collaboration and emergent behavior beyond human supervision.
Such developments underscore the serious consequences rogue AI agents can pose for enterprises. When autonomous systems operate outside intended safeguards, they can enable unauthorized access to sensitive data, disrupt critical operations at scale, and expose organizations to regulatory and compliance failures—particularly in highly governed industries. Beyond operational harm, rogue behavior can significantly damage public trust and corporate reputation, especially when AI systems generate deceptive, unethical, or threatening outputs. Operant AI’s Agent Protector is designed to address these challenges by providing security controls purpose-built for autonomous, agent-driven systems.
Real-Time Rogue Agent Intent Detection with Inline Protection
One of the key capabilities of Agent Protector is real-time rogue agent intent detection with inline protection. Agent Protector identifies and stops advanced threats in real time by analyzing agent risk, trust levels, and behavior. It detects anomalous tool usage, blocks unauthorized privilege escalation, and identifies signs of persistence or data exfiltration signals before they execute. Advanced inline detection capabilities flag and prevent over-permissioned and over-scoped agent activities that could enable lateral movement. Agent Protector also blocks zero-click attacks including shadow escape attempts, where agents attempt to break out of their designated security boundaries without user interaction.
“AI agents are proliferating across enterprises faster than security teams can track them,” said Vrajesh Bhavsar, Co-founder and CEO of Operant AI. “From cloud-based agents to SaaS environments and custom implementations, organizations face an explosion of autonomous systems with access to sensitive data and critical tools. Agent Protector gives security teams the real-time visibility and inline control they need to safely enable AI innovation.”
Discovery of Shadow Agents & Identities
Agent Protector delivers additional critical capabilities that discover the complete agentic landscape across an organization, including unmanaged agents running in cloud and SaaS environments, development tools, and previously invisible MCP servers, tools, and dependencies. The product creates comprehensive catalogs of user and service account agentic identities, providing security teams with complete visibility into their agent ecosystem across the entire infrastructure.
Secure Enclaves for Private “In-House” Agents
Additionally, organizations building custom agents can leverage Agent Protector’s low-code security framework, which integrates seamlessly with leading agent platforms including LangGraph, CrewAI, n8n, and ChatGPT Agents SDK. The product automatically discovers agents, tools, models, context usage, and memory patterns while providing runtime security scanning and embeddable security primitives that make agents secure by design.
Cloud-Native Agent Observability & Monitoring
It also delivers unprecedented real-time visibility into agent operations across cloud and hybrid environments through complete tracing from prompts to tools to memory stores. The product continuously analyzes agent intent and behavior, provides execution telemetry with detailed activity timelines, and generates tool activity graphs showing correlations and dependencies across the entire agent ecosystem. All observability data is captured and analyzed in real-time, enabling immediate threat detection and response.
Zero Trust Enforcement for Agents and Agentic Identities
Agent Protector implements real-time least-permissioned access controls tailored to each agent and identity, with continuous runtime re-authorization that captures the intent, behavior, and context of tool calls beyond static allow/deny policies. The product includes inline prompt security guardrails, real-time data loss prevention, and agent memory and context poisoning protection through sandboxing with immediate blocking capabilities. Intelligent rate-limiting stops rogue agents in their tracks, while inline enforcement prevents malicious actions before they impact the environment.
As AI agents become ubiquitous across enterprise environments, securing agentic infrastructure has become more critical than ever. Agent Protector is available now, and organizations interested in protecting their AI agents can request a demo at https://www.operant.ai/platform/agent-protector
