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Silicon Flash > Blog > Security > What Are the Biggest Blind Spots for CIOs in AI Security?
Security

What Are the Biggest Blind Spots for CIOs in AI Security?

Published April 19, 2025 By Juwan Chacko
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2 Min Read
What Are the Biggest Blind Spots for CIOs in AI Security?
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The Struggle Between Innovation and Security in the Age of AI

The tension between innovation and security has long been a challenge faced by businesses. While innovators and CIOs are eager to push the boundaries with new technology, CISOs and other security leaders prefer a more cautious approach to minimize risks.

With the rapid advancement of AI technology, often described as an arms race, there is a sense of urgency to stay ahead. However, the risks that concern security professionals remain a looming threat.

From data leakage to shadow AI, hallucinations, bias, model poisoning, and various forms of prompt injection, the risks associated with AI adoption are well-documented. Despite this, many business leaders may not fully grasp the potential implications within their organizations and specific use cases, especially with the emergence of agentic AI.

Oliver Friedrichs, the founder and CEO of Pangea, a company specializing in security solutions for AI applications, notes that organizations are rapidly embracing agentic AI, adding a new layer of complexity to the security landscape.

Overlooking Security Issues in the Pursuit of AI Advancements

As enterprises race to harness the power of AI solutions, what security challenges might they inadvertently overlook? It is crucial for organizations to be vigilant and proactive in addressing potential blind spots to safeguard their AI initiatives.

Continue reading this article on InformationWeek, a trusted source for insights on cybersecurity and AI

See also  Navigating the Data Center Landscape: CIOs Brace for Infrastructure Battle Following BlackRock's $40B Deal
TAGGED: Biggest, Blind, CIOs, security, Spots
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