AI: Agents of Good, Meet Agents of Evil
Commvault, Friday, July 17th, 2026
Commvault warns that autonomous AI agents expand the attack surface and that most failures come from unintended consequences.
Commvault examines the risk profile of agentic AI systems that autonomously take actions and access tools across connected business systems rather than merely generating content.
The post argues most AI failures stem from unintended consequences rather than malicious intent, citing Amazon's biased recruiting algorithm as an example.
Because agents need broad access to business tools and data, the attack surface and blast radius of any failure both expand, and prompt attacks introduce a novel manipulation vector.
When multiple agents interact, mistakes can cascade and amplify across connected systems in ways organizations struggle to trace. Quoting Dr. Reid Blackman, the piece frames responsible AI as testing, learning, and being willing to stop when something is not working.