The Key to AI Software Security Isn’t Speed, It’s Maturity
Agentic artificial intelligence software development has all the traits of a summer blockbuster, with the prospects of Godzilla-sized productivity gains thrilling business leaders and security implications sending chills down the spines of developers and SOC teams. One difference, though, is that those thrills and chills are going to last longer than a summer, and the fallout could be a lot more serious than some spilled popcorn.
The proliferation of large language models, whether for software development or general use, alongside both sanctioned tools and shadow AI brought in by employees, is expanding the attack surface too quickly for traditional controls to keep up, particularly with the growing use of agentic AI. And the increased risks are coming home to roost, with Gartner predicting that the costs of incidents driven by agentic AI will increase fourfold through 2027.
The impact of agentic AI is a particularly sharp double-edged sword, with SonarSource...
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