Stop LLM Attacks: How Security Helps AI Apps Achieve Their ROI
Akamai Technologies, Thursday, August 21st, 2025
The fast pace of innovation often puts business teams and security teams at a communication disadvantage. It's a tale as old as time: Line-of-business speaks in the language of user experience (UX), product roadmaps, and deadlines; enterprise security speaks of risks, threats, and attack signals. Tension rises as both sides push for what's important in their worlds - and often miss common ground.
The skyrocketing investment in applications that use artificial intelligence (AI) or large language models (LLMs) gives both teams a fresh start. Business executives may not know the ins and outs of nuanced threats such as LLM prompt injection, but they can sense the risks.
For example, in a recent KPMG survey, U.S. business executives show a keen awareness of AI's risks: 81% cited cybersecurity as the biggest barrier to AI adoption, while 78% identified data privacy as a primary concern.