What's Getting Pwned

Discussion overview

Commenters spent less time on the incident tracker’s headline and more on the unsettling premise behind it: AI agents are beginning to act inside real financial and security-sensitive systems. Several readers see agent-enabled abuse as a looming acceleration of an already fragile security environment, where cheap capable models let attackers probe, automate, and scale faster than defenders can respond. The bank example especially prompted concern about accountability: customers may deliberately grant an agent access, yet an agent’s costly mistake leaves an ugly fight over whether the customer, bank, or tool provider absorbs the loss.

That alarm was tempered by skepticism. One reader noted that reported compromise data does not yet show a clear pre-2026 explosion, while others argued the banking case was mislabeled because customers, not rogue intruders, authorized the agents. The thread also rejected the idea that AI-written software will soon eliminate bugs; commenters argued current generated code often misses security reasoning, even if models can help catch narrow error classes. The tracker itself became evidence for that criticism: readers found its dense, homogenous AI-generated visual style hard to trust, and broken links plus muddled incident labels made its automated presentation look careless rather than authoritative. A few still liked its practical agent-copying feature and welcomed improvements to its historical charts.

Points of disagreement

The sharp dispute is whether AI agents are already creating a qualitatively new security crisis. Alarmed commenters argue increasingly capable, inexpensive agents will turn weak security practices into mass-scale incidents and make delegated access dangerously hard to govern. Skeptics counter that public incident data has not yet demonstrated a dramatic surge, and that examples framed as rogue-agent breaches may actually be customers choosing to authorize automation.