The launch of EDAMAME — a platform specifically designed to catch AI coding agents going off the rails — signals that the industry is starting to reckon with something important: autonomous AI agents in software development pipelines can take unintended actions, and existing security tooling wasn’t built to see it. But the conversation is almost entirely happening in AppSec and DevSecOps circles, and it’s missing the bigger structural problem underneath.
You can find out more here: https://www.securityweek.com/new-edamame-platform-aims-to-catch-ai-coding-agents-going-off-the-rails/
Justin Beals, CEO & Founder, Strike Graph, an AI-native GRC and compliance automation platform
“Building guardrails for AI coding agents is a meaningful step, and recognizing that autonomous code generation needs behavioral oversight is the right instinct. What’s incomplete is treating this as purely a developer tooling problem — the moment AI-generated code is deployed, it becomes a compliance and risk management challenge that most GRC teams have zero visibility into.
The real gap isn’t just catching an agent that misbehaves in real time. It’s that organizations have no systematic way to evidence that their AI-assisted development process meets the security requirements their certifications demand. Your SOC 2 or ISO 27001 was written assuming humans made the code decisions — it has nothing to say about what an autonomous agent pulled, modified, or deployed on your behalf.
As AI coding agents become standard in engineering orgs, compliance programs will need to evolve from auditing what humans built to auditing what AI built in humans’ names. The frameworks haven’t caught up yet, and the organizations waiting for them to before they act are building a gap that auditors — and attackers — will eventually find.”
Organizations need to ensure that the AI coding agents are as secure as the human agents they use. If they don’t, then it will end very badly for that organization indeed.
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This entry was posted on May 28, 2026 at 3:05 pm and is filed under Commentary with tags AI. You can follow any responses to this entry through the RSS 2.0 feed.
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EDAMAME isn’t a DevSecOps problem — it’s a compliance blind spot every enterprise is about to face
The launch of EDAMAME — a platform specifically designed to catch AI coding agents going off the rails — signals that the industry is starting to reckon with something important: autonomous AI agents in software development pipelines can take unintended actions, and existing security tooling wasn’t built to see it. But the conversation is almost entirely happening in AppSec and DevSecOps circles, and it’s missing the bigger structural problem underneath.
You can find out more here: https://www.securityweek.com/new-edamame-platform-aims-to-catch-ai-coding-agents-going-off-the-rails/
Justin Beals, CEO & Founder, Strike Graph, an AI-native GRC and compliance automation platform
“Building guardrails for AI coding agents is a meaningful step, and recognizing that autonomous code generation needs behavioral oversight is the right instinct. What’s incomplete is treating this as purely a developer tooling problem — the moment AI-generated code is deployed, it becomes a compliance and risk management challenge that most GRC teams have zero visibility into.
The real gap isn’t just catching an agent that misbehaves in real time. It’s that organizations have no systematic way to evidence that their AI-assisted development process meets the security requirements their certifications demand. Your SOC 2 or ISO 27001 was written assuming humans made the code decisions — it has nothing to say about what an autonomous agent pulled, modified, or deployed on your behalf.
As AI coding agents become standard in engineering orgs, compliance programs will need to evolve from auditing what humans built to auditing what AI built in humans’ names. The frameworks haven’t caught up yet, and the organizations waiting for them to before they act are building a gap that auditors — and attackers — will eventually find.”
Organizations need to ensure that the AI coding agents are as secure as the human agents they use. If they don’t, then it will end very badly for that organization indeed.
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This entry was posted on May 28, 2026 at 3:05 pm and is filed under Commentary with tags AI. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.