The peril and promise of generative AI in application security

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Generative AI accelerates threat detection and predictive security but also introduces new risks. Attackers can leverage GenAI to craft sophisticated phishing, inject malicious code, poison data sets, and exploit open-source model vulnerabilities. Adoption is rapidly growing, with many organizations testing or deploying GenAI in production. To leverage AI safely, companies must strengthen policy, transparency, ethical controls, and DevSecOps practices while optimizing AI-driven security workflows across the SDLC.

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The peril and promise of generative AI in application security

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