ISC2: AI raises accountability demands for cybersecurity teams

A new ISC2 survey of 856 cybersecurity professionals finds that 65% spend more time deciding when to trust AI-generated recommendations, and 89% have experienced AI recommendations leading to incorrect outcomes. The research indicates AI is reshaping cybersecurity roles by increasing demands for human oversight, validation, and accountability, with 50% saying human decision-makers are held accountable for AI mistakes.

Artificial intelligence https://www.networkworld.com/article/4195712/ai-job-titles-expand-beyond-tech-as-it-hiring-remains-strong.html is changing how cybersecurity teams work, with security professionals spending more time validating AI-generated recommendations and deciding when to trust AI outputs, according to new research from ISC2 https://www.isc2.org/ . The ISC2 survey of 856 cybersecurity professionals https://www.isc2.org/Insights/2026/07/rethinking-ai-impact-on-cybersecurity-roles found that 65% spent more time deciding when to trust or act on AI-generated recommendations during the past year, while 63% reported spending more time reviewing or validating AI outputs. The study also found that AI-related mistakes remain common. Nearly nine in 10 respondents 89% said they have experienced AI recommendations that led to incorrect outcomes, and 50% said human decision-makers are ultimately held accountable when those mistakes occur. “AI is not replacing cybersecurity professionals; it is changing what the profession requires of them,” ISC2 CEO Scott Beale said in a statement https://www.prnewswire.com/news-releases/isc2-research-finds-ai-is-reshaping-cybersecurity-roles-and-increasing-human-oversight-302822455.html . “As AI takes on more repetitive tasks, cybersecurity roles are shifting toward higher-value work, from asking the right questions to validating findings, interpreting outputs, and applying human judgment.” The ISC2 survey also revealed that: Many cybersecurity professionals https://www.networkworld.com/article/4174188/ai-reshapes-cybersecurity-workforce-priorities-as-it-teams-brace-for-new-risks.html are expected to act on AI-generated outputs without fully understanding how those outputs were produced, ISC2 found. Nearly a quarter of respondents 24% said they are often or very often expected to act on AI-generated outputs without fully understanding how those outputs were produced. Still, respondents emphasized the importance of governance and oversight. About 80% said governance frameworks, understanding when to trust AI outputs, and knowing when to override recommendations are critical for effective AI use. Views on AI’s effect on cybersecurity careers http://networkworld.com/article/4065877/7-sase-certifications-to-validate-converged-network-and-security-skills.html are mixed: More than half of respondents 56% said AI has reduced the need for entry-level positions, but 53% said AI is creating new types of entry-level roles. Nearly half 48% said AI has made them more optimistic about their long-term cybersecurity careers. Despite increased AI adoption, respondents said foundational cybersecurity skills https://www.networkworld.com/article/2093749/network-jobs-watch-hiring-skills-and-certification-trends.html remain important. Nearly two-thirds 62% said AI has not reduced the need for core cybersecurity skills https://www.networkworld.com/article/4172576/ai-cybersecurity-skills-top-it-pay-premiums.html . Respondents also cited determining when to trust AI outputs 82% , understanding when to override recommendations 80% , and establishing governance frameworks 80% as critical factors for effective AI use. “This evolution is not limited to entry-level roles. It changes how work is distributed across security teams, making continued investment in governance, validation practices, mentoring, and skills development essential at every level,” Beale said.