Entro Security Tackles 'Shadow AI' With New Governance Platform

BOSTON, MA – March 18, 2026 – As autonomous AI agents rapidly become a fixture in the corporate landscape, cybersecurity firm Entro Security today launched its Agentic Governance & Administration (AGA) platform. The new solution is designed to give enterprises critical visibility and control over the sprawling, often hidden, world of AI-driven access, tackling a growing security crisis known as 'Shadow AI.'

AGA extends the principles of traditional identity management to the new frontier of Agentic AI, where non-human identities (NHIs) and automated systems interact with sensitive corporate data. The platform aims to answer the urgent questions now facing security teams as AI adoption accelerates.

“Enterprise AI adoption rarely starts with a strategy deck. It starts with a connection,” said Itzik Alvas, Co-Founder and CEO of Entro Security, in a statement. “A developer connects a tool to an LLM, a team installs an AI app in SaaS, or someone authenticates an agent against SharePoint, GitHub, Salesforce, or internal APIs. It works, spreads fast, and then security teams get questions they can’t answer fast enough. Who connected what, to which systems, with what permissions, and using which identities? Our AGA helps teams regain clarity and control as AI access becomes the default.”

The Rise of the Autonomous Agent and the 'Shadow AI' Problem

The launch comes at a pivotal moment. Agentic AI—systems that use large language models as a 'brain' to autonomously plan and execute complex tasks—is no longer a futuristic concept. Recent studies show that nearly 79% of organizations have already begun implementing AI agents, with a staggering 96% planning to expand their use within the next year. This explosive growth, however, has a dark side.

The rapid, often decentralized adoption has created a vast and unmonitored digital underground known as 'Shadow AI.' Research indicates that 57% of employees admit to using non-approved AI tools at work. Compounding the issue, a recent analysis of thousands of corporate environments found that 100% of companies operate SaaS applications with embedded AI, averaging 140 such environments per organization. This creates a massive, ungoverned attack surface.

These unsanctioned agents and AI-enabled apps, operating with non-human identities like API keys and service accounts, pose significant threats. Without proper oversight, they can become vectors for data exfiltration, privilege escalation, and lateral movement across corporate networks. The risk is not theoretical; the infamous "Great SaaS Breach of 2025," which impacted over 700 organizations due to a single stolen OAuth token, serves as a stark reminder of how a compromise in one interconnected application can cause a catastrophic domino effect.

Extending Identity Governance to the AI Frontier

Traditional security frameworks, particularly Identity and Access Management (IAM) and Identity Governance and Administration (IGA), are struggling to keep pace. These systems were designed for the predictable access patterns of human users, not for autonomous agents that can operate 24/7, dynamically request new permissions, and interact with dozens of systems.

The unique nature of agentic AI creates new identity challenges. The lines between an agent's identity and the human user it acts for can blur, creating opportunities for impersonation and privilege abuse. This has given rise to new threat models, recently codified in the OWASP Top 10 for Agentic Applications, which highlights novel risks like agent goal hijacking, tool misuse, and memory poisoning.

Entro Security's AGA is positioned as an evolutionary step, applying the proven governance muscle of IGA—inventory, ownership, least privilege, and auditability—to this new reality. The platform is engineered to manage the entire lifecycle of non-human and agentic identities, bridging the critical gap between human and machine access management. It treats AI agent identities as 'first-class citizens' that require clear purpose, defined ownership, and continuous monitoring, a fundamental shift from how many organizations view them today.

How Agentic Governance Brings Order to Chaos

At its core, AGA works by building a comprehensive, structured profile for every AI agent operating within an enterprise. It achieves this by correlating data from three distinct layers: the sources where agents run (like workstations or cloud platforms), the targets they access (such as databases or SaaS apps), and the identities they use (including API keys, tokens, and service accounts).

From this foundation, the platform delivers two primary capabilities. The first is Shadow AI Discovery. By integrating with Endpoint Detection and Response (EDR) tools, AGA can surface AI clients and local agent runtimes operating on employee workstations. Simultaneously, it connects natively with agent foundries like AWS Bedrock and Microsoft's Copilot Studio, as well as cloud providers, to discover the agents being built and the non-human identities they rely on. This provides a unified, governed view of an agent's entire footprint.

The second capability is AI Agents Monitoring and Enforcement. Once an agent is discovered, AGA provides visibility into its ongoing activities, auditing the tools it invokes and the services it connects to. This allows security teams to enforce policies that control agent behavior, such as sanctioning specific targets or blocking risky actions. The platform maintains a detailed audit trail of all allowed and blocked activity, providing the evidence needed for compliance and incident response while implementing AI-focused controls to prevent sensitive data exposure.

Navigating the AI Security Gold Rush

Entro's launch places it squarely in the middle of a burgeoning AI security market. Gartner predicts that by 2028, over half of all enterprises will utilize specialized AI security platforms, a dramatic increase from less than 10% today. This has ignited a gold rush, with established cybersecurity giants and a wave of new startups all vying for a piece of the rapidly growing AI governance software market, which is forecast to quadruple to nearly $16 billion by 2030.

In this crowded field, Entro is carving out a strategic niche by focusing intensely on the complex interplay between agentic AI and non-human identities. This specialization, recognized early on when the company was named a Gartner® Cool Vendor™, addresses a specific, high-stakes pain point that broader security platforms may overlook.

While potential adoption barriers like integration complexity and cost exist, the immense productivity gains from agentic AI are pushing enterprises forward. The rising tide of AI-related security incidents and the looming threat of regulatory scrutiny under frameworks like the EU AI Act are making robust governance less of an option and more of a necessity. For many organizations, the cost of inaction is beginning to far outweigh the investment in securing their AI-driven future.

Entro Security will be showcasing the Agentic Governance & Administration platform, including live demonstrations of its discovery and enforcement capabilities, at the upcoming RSA Conference 2026 in booth #N4515.