8 security risks overlooked in the rush to implement AI

AI in the Enterprise News, analysis, and insights for IT leaders navigating the risks and rewards of AI May 27, 2025

8 security risks overlooked in the rush to implement AI Nearly two-thirds of companies fail to vet the security implications of AI tools before deploying them. Stressing security fundamentals from the outset can cut down the risks. Read more

Sponsored by Sana Labs: How Sana is building 10x smarter AI agents Sana Agents wowed 500+ leaders at AI Summit in Stockholm—live. Trusted by Fortune 500s, Sana Agents automate workflows with 90% efficiency gains. Instant setup, 100+ integrations, and enterprise-grade security with zero data retention. Read more

Liquid cooling becoming essential as AI servers proliferate High-density computing workloads like AI training and inference run too hot for traditional air cooling. Companies are increasingly adopting liquid cooling technologies, even in traditional air-cooled data centers. Read more

MCP, ACP, and Agent2Agent set standards for scalable AI results New AI protocols are emerging to ease model connections and agent management, giving CIOs the roadmap to easier, standardized AI deployments while avoiding vendor lock-in. Read more AI PCs are here: Dell + Qualcomm Snapdragon show off insane battery life, local AI demos Discover the future of computing with Dell's latest AI PCs, powered by Qualcomm Snapdragon and cutting-edge NPUs. In this episode of DEMO, host Keith Shaw visits Dell's Executive Briefing Center and chats with Munira Baldiwala, Director of Commercial Mobility Product Management at Dell, to explore the real-world performance of AI-powered laptops — featuring incredible battery life, on-device AI processing, live translation, and code generation without the cloud. Read more

Prompt injection flaws in GitLab Duo highlights risks in AI assistants Researchers managed to trick GitLab's AI-powered coding assistant to display malicious content to users and leak private source code by injecting hidden prompts in code comments, commit messages and merge request descriptions. Read more Will synthetic data shape the future of AI training? As the demand for high-quality training data continues to surge, synthetic data is emerging as a game-changing tool in the world of AI development. But is it the silver bullet enterprises need—or a potential minefield of risks? In this episode of Today in Tech, host Keith Shaw sits down with Alexius Wronka, CTO of Data and Growth at Invisible Technologies, to explore the advantages, limitations, and ethical challenges of using synthetic data to train large language models (LLMs) and enterprise AI systems. Read more New agentic AI tools bring new threat: agent sprawl Vendors are lining up to offer enterprises tools to create AI agents for a plethora of different tasks — but it's time to think about managing them. Read more Consumer rights group: Why a 10-year ban on AI regulation will harm Americans More than 140 civil rights and consumer groups are asking Congress to reject a decade-long moratorium on state and local AI regulations, warning that it would leave Americans unprotected against growing AI risks. Read more AI vs. copyright It's an ugly legal fight, and if the AI companies win, we may be in more trouble than we can even imagine. Read more

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