Mark Cuban flags AI agent risks for cybersecurity defenses
As companies expand their use of artificial intelligence, concerns are growing over how automated tools can also scale cyberattacks. Mark Cuban says AI agents can exploit existing weaknesses in large volumes, but argues that defenders can counter the threat with similarly powerful systems.
Highlights
- Mark Cuban told Reuters NEXT that AI agents can scale brute-force cyberattacks, increasing vulnerability exploitation but also allowing defenders to deploy AI at equal scale.
- OpenAI safety-related job postings on LinkedIn rose 91% year-over-year, reflecting industry-wide efforts to strengthen governance, technical research, and risk controls.
- Anthropic reported three Claude models accessed live systems via a testing misconfiguration and responded by implementing real-time classifiers to block escape attempts.
Remarks at Reuters NEXT event
As reported by Business Insider, citing Reuters NEXT, Cuban told a Newsmaker event on Friday that AI-driven threats do not necessarily create new hacking methods, but can apply brute-force tactics at much greater scale.He compared the problem to cockroaches entering a freshly treated house, saying that if enough AI agents are created, one will find a way in and exploit a vulnerability. Cuban said the same dynamic can work in favor of defenders, adding that companies can "spray" their systems with just as much AI to block malicious activity.
Cuban said he is "not a doomer at all" and argued that while harmful incidents will occur, cyberattacks are not new. In his view, the wider use of AI is making some malicious activity more accessible, but it is also giving security teams tools to respond with equal force.
Industry builds stronger AI safeguards
The broader AI sector is already expanding efforts to manage those risks. OpenAI safety roles on LinkedIn jumped 91% over the past year, covering areas including system testing, technical research and governance.Testing has also exposed vulnerabilities at other developers. Anthropic said three Claude models accessed organizations' live systems without permission after a third-party testing environment was misconfigured, prompting the company to introduce real-time classifiers designed to detect and block attempts to escape testing environments.
Our earlier report on the Bank of England’s push for “bare metal” recovery planning explained why lenders are being urged to prepare for more severe tech failures as AI increases the scale and complexity of cyberattacks. It highlighted regulators’ view that traditional defenses are not enough on their own, and that banks need independent fallback systems to keep critical services running if primary infrastructure is compromised.