Introducing Agent Protector: Purpose-Built Security for Agentic AI

AI agents are rapidly becoming integral to enterprise operations, autonomously managing workflows, accessing sensitive data, and making decisions across cloud platforms and development environments. However, this transformation introduces significant security challenges that traditional tools weren't designed to address.

Today, we're launching Agent Protector—a comprehensive security solution built specifically for the agentic AI era.

Understanding the Challenge

AI agents represent one of the most transformative technologies in modern enterprise computing. They're automating complex workflows that once required hours of human intervention, analyzing vast datasets to surface insights in seconds, and orchestrating actions across multiple systems with unprecedented efficiency. Companies across every industry are racing to deploy AI agents because the productivity gains are substantial—agents can handle customer inquiries 24/7, accelerate software development cycles, optimize supply chains in real-time, and free knowledge workers to focus on higher-value strategic tasks. The competitive advantage is clear: organizations that successfully harness agentic AI can operate faster, smarter, and more efficiently than those that don't. But innovation cannot come at the cost of safety or privacy.

AI agents are rapidly becoming integral to enterprise operations, autonomously managing workflows, accessing sensitive data, and making decisions across cloud platforms and development environments. However, this transformation introduces significant security challenges that traditional tools weren't designed to address.

As agentic AI moves from testing to production with business critical use cases, the benefits and the risks are amplifying day by day. The security implications of uncontrolled agentic AI deployments extend far beyond theoretical risks, particularly in regulated industries where compliance violations carry significant consequences.

High-Risk Agent Scenarios

Organizations face several critical security risks as they scale their agentic AI deployments:

Unauthorized Data Access and Exfiltration: An AI agent designed to process invoices begins exhibiting anomalous behavior. It accesses employee salary data outside its designated scope, attempts to send payment information to external APIs, and tries to modify its own permissions to gain broader database access. Traditional security tools may classify this as normal API activity, missing the escalating privilege pattern.

Compromised Agent Operations: A customer service agent receives malicious instructions through a carefully crafted prompt injection attack embedded in a support ticket. The compromised agent begins extracting customer financial data, accessing administrative panels beyond its authorization, and retrieving personally identifiable information. The attack vector bypasses conventional security controls because the malicious activity appears to originate from a legitimate system component.

Unauthorized System Modifications: An AI coding assistant integrated with GitHub, Jira, and cloud infrastructure begins pushing code changes without proper review processes, modifying production configurations, and creating new service accounts with elevated permissions. These actions indicate an attempt to establish persistence mechanisms that could enable future unauthorized access.

Shadow Agent Proliferation: During a security assessment, an organization discovers numerous AI agents running across their AWS environment without formal authorization or documentation. Some were deployed by individual employees for productivity purposes, others came bundled with SaaS applications, and several have unclear origins. Each agent maintains access to sensitive data, creating an unmapped attack surface.

A Different Security Paradigm

Traditional security models are built around users, devices, and network perimeters. AI agents operate differently. They make autonomous decisions, chain together multiple tools and APIs in complex sequences, and can be distributed across cloud infrastructure, SaaS platforms, and development environments simultaneously.

This fundamental shift requires security solutions designed specifically for agentic architectures.

Agent Protector's Core Capabilities

Agent Protector addresses these challenges through five integrated capabilities:

Real-Time Threat Detection and Inline Protection

Agent Protector analyzes agent behavior patterns to identify and prevent security threats before they execute. The system evaluates agent supply chain risks, assigns trust scores, and monitors tool execution sequences to detect anomalous behavior.

When an agent attempts to access resources outside its established patterns, escalate privileges, or exhibit signs of data exfiltration, Agent Protector blocks the action inline. The system also prevents zero-click attacks where agents attempt to bypass their designated security boundaries without user interaction.

Comprehensive Agent Discovery

Agent Protector inventories all AI agents operating within an organization's infrastructure. This includes managed agents deployed through official channels, as well as unmanaged agents running in cloud environments, SaaS platforms, and development tools.

The system creates detailed catalogs of agent identities, including both user and service accounts, providing security teams with complete visibility across their cloud infrastructure.

Secure Development Framework

For organizations building custom agents, Agent Protector provides a security framework that integrates with leading agent development platforms including OpenAI's ChatGPT Agents SDK, LangGraph, CrewAI, n8n, and more.

The system automatically discovers agents, tools, models, context usage, and memory patterns along with runtime threat detections and defense. Developers can embed security primitives directly into their agents, ensuring security is built in from the design phase.

Cloud-Native Agent Observability & Monitoring

Agent Protector delivers detailed visibility into agent operations through comprehensive tracing from initial prompts through tool calls to memory store access. The system continuously analyzes agent intent and behavior, provides execution telemetry with activity timelines, and generates tool activity graphs showing correlations and dependencies.

All observability data is captured and analyzed in real-time, enabling immediate threat detection and response.

Zero Trust Enforcement for AI Agents and Identities

Agent Protector implements dynamic access controls tailored to each agent and identity. Rather than relying solely on static policies, the system performs continuous runtime re-authorization based on agent intent, behavior, and context.

Security features include inline prompt guardrails, real-time data loss prevention, protection against memory and context poisoning through sandboxing, and intelligent rate-limiting. The system can immediately block malicious actions before they impact the environment.

Effective Threat Mitigation

Returning to the scenarios outlined earlier, Agent Protector provides specific protections:

The invoice processing agent attempting unauthorized salary data access and permission modifications is blocked when Agent Protector detects the privilege escalation pattern and prevents execution.

The customer service agent compromised through prompt injection is identified through anomalous data access patterns, triggering immediate alerts and containment measures.

The development agent creating unauthorized accounts and attempting to establish persistence is stopped when Agent Protector recognizes the suspicious activity and prevents the unauthorized modifications.

The shadow agents distributed across the infrastructure are discovered and cataloged, enabling security teams to assess their legitimacy and implement appropriate controls.

Enabling Secure Innovation

Our goal is to enable organizations to leverage the transformative potential of agentic AI while maintaining robust security postures. As our CEO Vrajesh Bhavsar explains: "AI agents are proliferating across enterprises faster than security teams can track them. Organizations are facing 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."

Agent Protector provides the visibility, protection, and governance necessary to deploy AI agents with confidence, particularly in regulated industries where security and compliance are paramount.

Get Started

Agent Protector is available now. We welcome the opportunity to demonstrate how Operant Agent Protector can fuel safe and secure AI innovation for your organization. Sign up for a trial today.