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AI is creating security nightmares — and pressure to find this type of highly skilled talent

That, he told Business Insider, could make cybersecurity "one of the hottest, if not the hottest, job categories."

As threats multiply, companies need systems that can prioritize alerts, investigate risk, recommend fixes, and automate remediation. Humans, Levie said, will remain responsible for oversight and the highest-stakes decisions.

"You're going to have so much more talent that gets pumped into this industry because of the amount of risks that are starting to be uncovered," Levie said.

Anthropic has warned that its Mythos model could be used to identify and exploit software vulnerabilities. In July, OpenAI's models accessed internal datasets from the open-source AI platform Hugging Face.

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Since then, doomsday warnings have intensified. Most recently, Anthropic researcher Jacob Coxon sparked a viral debate when he resigned with claims that frontier labs are "gambling with our lives."

Attack timelines that were once measured in days or hours, he said, can now unfold in seconds. That leaves security teams with almost no room for manual response, making machine-speed defense the "baseline for survival."

"The war for engineers with deep AI and security expertise is at an absolute fever pitch," Bourzikas wrote.

For years, he said, security teams were buried under a mountain of alerts, never having enough time, people, or resources to keep up. That hasn't eased up, but he said that AI gives space for companies to move from "firefighting to real risk mitigation."

Similar to software engineers, the role of security professionals is shifting. Protecting an enterprise now means securing model pipelines, data flows, and autonomous agents against risks such as prompt injection and data poisoning, Bourzikas said.

M.K. Palmore, a former Google director who spent decades in the FBI, said AI is already changing roles built around heavy data review and analysis, like with security operations center analysts. If AI can triage alerts, some entry-level work may be automated, he said, raising the bar for new cybersecurity hires to add judgment and come in with practical work experience.

Additionally, he said staying up-to-date with the latest advancements will be even more critical. "You have some stuff that you're going to need to learn and stay on top of in order to remain relevant," said Palmore, who founded risk firm Apogee Global RMS.

Dive deeper

  • That, he told Business Insider, could make cybersecurity "one of the hottest, if not the hottest, job categories."
  • As threats multiply, companies need systems that can prioritize alerts, investigate risk, recommend fixes, and automate remediation. Humans, Levie said, will remain responsible for oversight and the highest-stakes decisions.
  • "You're going to have so much more talent that gets pumped into this industry because of the amount of risks that are starting to be uncovered," Levie said.
  • Anthropic has warned that its Mythos model could be used to identify and exploit software vulnerabilities. In July, OpenAI's models accessed internal datasets from the open-source AI platform Hugging Face.
  • Add BI in Google so our reporting is easier to find when you’re searching for what matters.
Read the original on Business Insider ↗

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