Snyk & Atlassian: How to embed security in AI-assisted software development

To maximize benefits and mitigate risk, trust and security must be woven into every process, project, and product handled by software teams, especially with AI-assisted development. The risks of AI for software development include bad training data, hallucinations, and potential introduction of vulnerabilities, while the rewards include increased productivity and speed. To mitigate these risks, companies should create and maintain AI policies, protect intellectual property, and enable safe use of AI coding assistants to drive developer productivity. An integrated solution like Snyk can help verify code to mitigate AI risks, providing real-time scanning, vulnerability flags, and recommended fixes. By prioritizing security and trust in AI-assisted development, teams can balance people, processes, and technology to create safer software.

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