EMA Research Uncovered: The Gap Between Agentic AI Adoption and Security Readiness

Growing Adoption of Agentic AI



In the modern technological landscape, Agentic AI is rapidly becoming a key player in improving operational efficiencies across organizations, from customer interactions to internal task management. Recent research conducted by Enterprise Management Associates (EMA) reveals that this AI evolution is more than just a trend—it is reshaping how businesses operate. However, the study also uncovers a troubling reality: organizations are lagging in their security preparedness to handle the complexities introduced by these autonomous agents.

Key Findings of the Research



The research, titled "Agentic AI Identities: The Unsecured Frontier of Autonomous Operations," showcases the results from a survey of 271 professionals in the field of IT, security, and Identity and Access Management (IAM). With only 2% of organizations with over 500 employees expressing no interest in pursuing Agentic AI, it's clear that most recognize the potential benefits. However, this enthusiasm comes with stark warnings about the alignment—or lack thereof—between adoption and security protocols.

Among the survey's major findings, 41% of organizations expressed skepticism regarding the security and reliability of their current IAM providers. In an age where autonomous operations are becoming the norm, this is a significant concern, as the demand for robust identity management solutions becomes increasingly paramount. Furthermore, unpredictable costs were highlighted as a troubling factor by 56% of medium-sized organizations and 45.2% of large organizations, suggesting that the financial implications of IAM solutions are not being adequately addressed.

Security Risks Posed by Autonomous Agents



A particularly alarming insight from the study indicates that 79% of organizations that implemented Agentic AI did so without having formal written policies for managing these identities. This situation exemplifies a systemic blind spot in organizational practices and a potential recipe for disaster. As pointed out by Ken Buckler, Research Director at EMA, the organization-wide preparedness for the security challenges associated with autonomous agents is notably insufficient, leaving them vulnerable to various risks.

Need for Paradigm Shift in IAM Practices



The EMA research strongly advocates for a paradigm shift in how organizations view and manage Agentic AI identities. Traditionally, IAM infrastructures have been designed with human users in mind, but as AI technologies become more autonomous, they must be recognized and treated as first-class digital identities. This will entail not only a reassessment of existing policies but a substantial overhaul of security measures to accommodate the unique needs of AI agents.

To address these pressing concerns, the research suggests actionable strategies to strengthen the nexus between Agentic AI adoption and effective governance. This includes revising IAM frameworks to incorporate the unique characteristics of AI identities, implementing comprehensive risk management strategies, and ensuring that all organizational stakeholders are equipped with the necessary tools and knowledge to navigate these challenges.

Join the Conversation



To further explore the implications of this research, EMA will host a free webinar featuring Ken Buckler and Damon Tepe, Head of Product Marketing at Ory, scheduled for December 11. Attendees will not only gain insights into the research findings but also receive a complimentary copy of the full report, essential for understanding how to bridge the gap between the burgeoning field of Agentic AI and robust security governance.

In conclusion, while the potential of Agentic AI is immense, organizations must not only adopt these technologies but prepare adequately for the challenges they bring. The EMA research serves as a crucial wake-up call, urging immediate action in the realm of IAM to avoid widespread security vulnerabilities in the future.

Topics Business Technology)

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