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Edera
@edera.dev

48% of organizations using AI coding assistants say more security issues are reaching production since they adopted them. Detection tools were trained on human-written code. They have no baseline for code written by agents. edera.link/idc-brief

edera.linkNew IDC Analyst Brief: Containment for AI Workloads | EderaPrevention can't keep pace with AI-written code. A new IDC Analyst Brief explains why containment—bounding a breach's blast radius—is now the control for AI workloads.

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Edera
@edera.dev

As agents write and run more code, more of it goes unexamined. IDC study's take: “Containment doesn't ask enterprises to verify it first; it bounds what any of it can affect, using infrastructure most enterprises have already deployed at scale.” . Read the analyst brief from IDC

edera.linkNew IDC Analyst Brief: Containment for AI Workloads | EderaPrevention can't keep pace with AI-written code. A new IDC Analyst Brief explains why containment—bounding a breach's blast radius—is now the control for AI workloads.
Metas Projects
@metasprojects.bsky.social

That 48 percent number tracks with what I see. Review is the bottleneck now, and detectors trained on human code have no baseline for agent-written patterns. The fix has to be verification, not more scanning.