Security Teams Debate How Much To Trust AI
Help Net Security, Tuesday, December 30th, 2025
AI is reshaping how organizations operate, defend systems, and interpret risk. Reports reveal rising AI-driven attacks, hidden usage across enterprises, and widening gaps between innovation and security readiness.
As adoption accelerates, companies face pressure to govern AI responsibly while preparing for threats that move faster than current defenses.
Attackers keep finding new ways to fool AI
Across the AI ecosystem, developers are adopting layered controls throughout the lifecycle. They combine training safeguards, deployment filters, and post release tracking tools. A model may be trained to refuse harmful prompts. After release, its inputs and outputs may pass through filters. Provenance tags and watermarking can support incident reviews.