Reco Launches AI Agent Security Platform

Reco, a cybersecurity company focused on SaaS environments, has introduced AI Agent Security, a new capability designed to help enterprises gain visibility and control over artificial intelligence agents operating across their software ecosystems. The launch reflects a growing need for security solutions that address the increasing use of AI-driven tools and automation within organizations.

The new capability aims to provide security and risk teams with a comprehensive view of AI agents interacting with enterprise systems. These agents can include tools such as ChatGPT, Microsoft Copilot, Salesforce Agentforce, and custom automation workflows.

As businesses adopt AI tools to improve productivity, managing their security implications has become an emerging challenge.

The Growing Challenge of AI Agent Sprawl

Organizations today rely on a wide range of SaaS applications to manage operations, communication, and data. With the addition of AI tools and automation platforms, this ecosystem has become more complex.

AI agents can access data, perform tasks, and interact with multiple systems simultaneously. However, many of these agents operate without centralized oversight, creating what is increasingly referred to as “AI agent sprawl.”

This phenomenon is similar to the earlier concept of shadow IT, where employees used unsanctioned software tools without formal approval. In the case of AI, the risks are amplified because agents can act autonomously and interact with sensitive data.  Without proper visibility, organizations may struggle to track how these agents are being used, what data they access, and whether they introduce security vulnerabilities.

How Reco’s Dynamic SaaS Security Works?

Reco’s platform is built around the concept of Dynamic SaaS Security, which aims to continuously monitor and adapt to changes within an organization’s SaaS environment. Unlike traditional security models that rely on static configurations, dynamic approaches focus on real-time visibility and ongoing analysis.

The platform uses a graph-based architecture to map relationships between applications, users, identities, and data. This allows security teams to understand how different components interact and where potential risks may arise.

Reco’s system continuously discovers SaaS applications, including sanctioned and unsanctioned tools, as well as AI agents and their associated identities. It analyzes user behavior, access permissions, and interactions to identify potential threats. By combining these insights, the platform helps organizations detect issues such as misconfigurations, excessive permissions, compromised accounts, and risky behavior.

From SaaS Security to AI and Identity Governance

The introduction of AI Agent Security represents an expansion of SaaS security into new domains. Traditional SaaS security solutions have focused on managing applications, user access, and compliance.

Reco extends this model by incorporating AI agents and machine identities into the security framework. This includes monitoring how AI tools interact with systems, what actions they perform, and how they access data.

The platform also addresses identity governance by tracking both human and non-human identities within the system. As automation increases, managing machine identities becomes as important as managing user accounts. By integrating these capabilities, Reco aims to provide a unified approach to securing modern digital environments.

Addressing Shadow SaaS and Shadow AI

In addition to AI agents, organizations continue to face challenges related to shadow SaaS applications. These are tools that are used without formal approval, often creating security gaps.

Reco’s platform is designed to identify and monitor these applications, providing visibility into how they are used and what risks they may pose.

The concept of shadow AI builds on this idea, referring to the use of AI tools and agents that are not centrally managed. These tools may access sensitive data or perform actions without proper oversight. By detecting both shadow SaaS and shadow AI, the platform helps organizations maintain control over their digital environments.

The Future of Enterprise Security in an AI-Driven World

As artificial intelligence becomes more integrated into business operations, the complexity of managing security will continue to increase. Organizations must account for not only applications and users but also autonomous systems that interact with data and processes.

The development of tools such as AI Agent Security highlights the evolving nature of cybersecurity. Security platforms are moving toward more adaptive and comprehensive models that can handle dynamic environments. Reco’s approach reflects a broader shift in enterprise security, where continuous monitoring, real-time insights, and integrated systems play a central role.

As AI adoption accelerates, the ability to manage and secure these systems will become increasingly important for organizations across industries. The emergence of AI agent security solutions signals a critical evolution in cybersecurity, as enterprises adapt to a new landscape where autonomous systems operate alongside traditional software and human users.