Announcing Agentic Identity and Security Platforms: Securing the New Era of Digital Labor

Announcing Agentic Identity and Security Platforms: Securing the New Era of Digital Labor
Today, Aragon Research is proud to unveil a pivotal new category: Agentic Identity and Security Platforms (AISP). This announcement builds upon our extensive history of covering Artificial Intelligence, from our foundational work on Content AI in 2018 to Conversational AI in 2019, as well as the evolution into Agent Platforms in 2024. The introduction of AISP marks a crucial next step in understanding and addressing the rapidly emerging challenges of the AI-driven enterprise.
The proliferation of AI Agents and sophisticated Agentic Systems is fundamentally reshaping how enterprises operate. These autonomous digital workers promise significant efficiencies, yet they simultaneously introduce a critical new frontier of cybersecurity risk. Traditional security frameworks, designed for human users, are not equipped to manage the dynamic, often unpredictable behaviors and unique vulnerabilities of AI agents. This gap creates what we identify as a significant “Access-Trust Gap.”
Agentic Identity and Security Platforms
Aragon Research defines AISP as an essential, emerging category vital for safeguarding the modern enterprise. AISP provides a specialized, run-time policy enforcement framework that identifies, secures, and governs AI agents and agentic systems. This framework incorporates robust agent identity and access management, comprehensive data protection, operational integrity, and full governance, risk, and compliance (GRC) capabilities.
The inherent autonomy of AI agents presents complex challenges. Their ability to dynamically adapt and make decisions can lead to unintended consequences, data misuse, or severe security vulnerabilities if not properly overseen. Threats such as prompt injection, where malicious instructions manipulate agent behavior, or agent communication poisoning, which corrupts inter-agent interactions, are becoming increasingly prevalent. Furthermore, the sheer volume of AI agents, potentially numbering in the millions within large enterprises, creates an exponential increase in machine identities that traditional identity and access management solutions struggle to govern, leading to unmanaged sprawl and over-permissioning risks.
AISP directly addresses these advanced threats by enabling granular, adaptive access control. This control dynamically changes based on real-time context and assessed risk levels. AISP ensures that every action taken by an AI agent is logged, auditable, and traceable back to its originating human user or organizational policy, thereby bridging the “Access-Trust Gap.” By enforcing dynamic and cost-aware least-privilege access, preventing identity sprawl, and providing continuous monitoring, AISP significantly strengthens compliance postures and proactively defends against both external attacks and insider threats amplified by AI agents.
The market for AISP is projected for robust growth, and while we are not publishing the exact forecast in this blog, we can say that the Compound Annual Growth Rate (CAGR) for AISP is 8.8%. This growth underscores the urgent need for these solutions. Without AISP, enterprises face amplified threats such as prompt injection attacks, agent spoofing, unauthorized data access, and the proliferation of “Shadow AI agents,” which can lead to devastating data breaches and compliance failures.
Bottom Line
As AI agents become integral to business functions, integrating Agentic Identity and Security Platforms (AISP) into every AI deployment is no longer optional—it is imperative. Enterprises must proactively assess their agentic security needs, evaluate AISP solutions, and implement these platforms to ensure their information, data, and intellectual property remain protected against the evolving landscape of AI-driven threats.
Editor’s note: Check out the in-depth reports on AISP and all of our new AI Agent and Agentic Systems research here.
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