CUPERTINO: Apple has limited the number of software vulnerability reports submitted to its security team after receiving a surge of artificial intelligence (AI)-generated reports, many of which were found to be inaccurate or lacking quality, according to a report by the Financial Times.
The British newspaper reported that Apple introduced the change in June 2026 after its security review system came under significant pressure due to the growing volume of AI-assisted vulnerability submissions.
Apple said many AI-generated reports described security issues that did not actually exist, creating additional challenges for researchers responsible for reviewing legitimate threats.
AI Creates New Challenge for Cybersecurity Teams
Apple said the issue is not limited to its own security operations but has become a wider challenge across the technology industry.
Generative AI tools have made it easier for researchers to identify genuine software vulnerabilities, but they have also contributed to a sharp increase in low-quality reports from inexperienced researchers.
Security teams at major technology companies are now facing the challenge of separating valuable vulnerability findings from inaccurate claims generated or supported by AI tools.
AI Tools Help Identify Software Flaws, but Accuracy Remains a Concern
According to the Financial Times report, Italian cybersecurity startup Binario claimed that it used OpenAI’s ChatGPT to identify more than 50 potential vulnerabilities in the latest macOS operating system within three weeks.
While AI-assisted security research has gained attention for speeding up vulnerability detection, experts have warned that automated findings still require detailed human verification before being treated as confirmed security risks.
The growing use of AI in cybersecurity has created both opportunities and challenges, with technology companies balancing faster threat detection against the increasing burden of reviewing unreliable submissions.
Apple’s decision highlights a broader debate in the cybersecurity industry over how companies should manage the growing role of generative AI in vulnerability research while maintaining the quality of security reporting.
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