Collaborate Disseminate
Where your developers sit on the AI adoption scale has a real impact on how you are addressing security risk.
The post The Key to AI Software Security Isn’t Speed, It’s Maturity appeared first on SecurityWeek.
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As AI-generated code becomes commonplace, CISOs need new audit strategies to measure developer practices, govern AI tool usage, and identify software risks before they reach production.
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Developers must view AI as a collaborator to be closely monitored, rather than an autonomous entity to be unleashed. Without such a mindset, crippling tech debt is inevitable.
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To deploy AI tools securely and ethically, teams must balance innovation with accountability—establishing strong governance, upskilling developers, and enforcing rigorous code reviews.
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Widespread adoption of AI coding tools accelerates development—but also introduces critical vulnerabilities that demand stronger governance and oversight.
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Organizations can align their processes with one of two global industry standards for self-assessment and security maturity—BSIMM and OWASP SAMM.
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For years, many CISOs have struggled to influence their development cohort on the importance of putting security first.
The post How Exceptional CISOs Are Igniting the Security Fire in Their Development Team appeared first on SecurityWeek.
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