Commentary: AI coding security hinges on adoption maturity, not speed
Original title: The Key to AI Software Security Isn’t Speed, It’s Maturity
An eight-stage model from assisted coding to autonomous agents says most developers are still in stages 2 to 4.
A SecurityWeek commentary argues agentic coding tools widen risk faster than traditional controls, citing a Gartner forecast that agentic-AI incident costs will rise fourfold through 2027. It outlines eight stages across AI Assisted, AI Native and Agentic phases, with risk described as climbing to extreme at autonomous orchestration. Governance, observability and developer training should start early, it says, while most developers are currently between stages 2 and 4.
Unconfirmed: The fourfold cost figure is a Gartner forecast, and the eight-stage model is the author's framework.
- Gartner is cited forecasting a fourfold rise in agentic-AI incident costs through 2027.
- Stages 1 and 2 are supervised assistance with low to moderate risk.
- Stages 3 and 4 reduce supervision, including MCP use, and risk is called high.
- Stages 5 to 8 run from single CLI agents to autonomous orchestration.
- Claude Code and Gemini CLI are named as stage 5 command-line agents.
- Organizations
- GartnerSonarSource
From the original article
5 min read at securityweek.com
Where your developers sit on the AI adoption scale has a real impact on how you are addressing security risk. The post The Key to AI Software Security Isn’t Speed, It’s Maturity appeared first on SecurityWeek.
By Matias Madou · securityweek.com
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