{"id":2500,"date":"2026-08-24T12:07:57","date_gmt":"2026-08-24T12:07:57","guid":{"rendered":"https:\/\/thedigitalfortress.us\/?p=2500"},"modified":"2026-08-24T12:07:57","modified_gmt":"2026-08-24T12:07:57","slug":"shipping-more-ai-code-than-you-can-secure-watch-how-to-control-remediation-debt","status":"publish","type":"post","link":"https:\/\/thedigitalfortress.us\/?p=2500","title":{"rendered":"Shipping More AI Code Than You Can Secure? Watch How to Control Remediation Debt"},"content":{"rendered":"
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\ue804<\/i>The Hacker News<\/span>\ue802<\/i>Aug 24, 2026<\/span><\/span>AI Security \/ Webinar<\/span><\/p>\n<\/div>\n

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If your developers are using AI coding tools, you are probably already seeing the upside: faster development, more code, and less time spent on routine work.<\/p>\n

The harder part is what comes after. AI can also introduce open-source packages at a pace your security team was never built to handle. More dependencies mean more vulnerabilities to review, more remediation work, and a backlog that can quietly keep growing.<\/p>\n

Our latest AI Coding and Open Source Risk<\/a> webinar<\/strong> examines what this means for security and engineering teams, drawing on data from 300 enterprise leaders.<\/p>\n

The Real Problem Is What AI Adds to Your Stack<\/h2>\n

AI coding itself is not the issue. The problem is how quickly generated code can bring new open-source components into your environment.<\/p>\n

A developer can add a dependency in minutes. Your team may then need to assess vulnerabilities, licensing, maintenance, ownership, and whether that package should be there at all.<\/p>\n

That work does not disappear just because the code was generated faster. Over time, you end up with remediation debt: security work accumulating faster than your team can close it.<\/p>\n

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And as AI tools become more autonomous, that gap could widen significantly.<\/p>\n

See How Your Program Compares<\/h2>\n

ActiveState surveyed 300 security and engineering leaders<\/strong> across technology, financial services, healthcare, manufacturing, and government.<\/p>\n

The research examines how teams are handling AI-driven open-source risk, where remediation programs are struggling, and how that debt relates to audit failures, breach frequency, and lost productivity.<\/p>\n

This webinar walks through those findings<\/a> so you can compare your own program with what other enterprises are seeing.<\/p>\n

That benchmark matters. It gives you a clearer sense of whether your current controls are keeping up or simply pushing more unresolved work downstream.<\/p>\n

What You\u2019ll Take Away<\/h2>\n

ActiveState’s Rebecca Banks and Moris Chen break down:<\/p>\n