Secuarden AI | AI ROI Calculator: What Missing Development Evidence Costs
Calculate the operational ROI of AI-assisted development evidence using review, audit, investigation, and compliance effort—not speculative breach costs.
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Security and assurance for AI-built software
Practical perspectives on AI code security, coding-agent governance, software provenance and change assurance.
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Secuarden AI | Why Agent Safety Needs a Runtime Boundary
OpenShell puts enforceable boundaries around autonomous agents. Coding agents bring the next evidence question into the repository: what change did the agent deliver, and how was it reviewed?
Secuarden AI | Agent History Is Not Audit Evidence When the Agent Can Rewrite It
Darktrace's controlled agent-history poisoning research reveals why software teams need independent evidence for AI-assisted code changes.
Secuarden AI | The Blueprint Alliance and the Missing Layer in AI Coding Agent Security
The Blueprint Alliance advances enterprise agent security. Software teams also need policy and provenance for the code agents change.
Secuarden AI | Securing Agentic AI Requires a Shift to Behavioral Governance—and Capturing Human Intent
Why agentic AI governance must match autonomy to verifiability—and preserve human intent, agent activity, policy decisions and code lineage.
Secuarden AI | When AI Coding Assistants Become a Supply Chain Attack Path
A Mandiant incident shows how a poisoned package recommendation can lead from an AI coding session to credential theft and repository compromise.
Secuarden AI | Agentic development needs work context, code review, and evidence
A practical way to understand the complementary roles of Atlassian, Qodo, and Secuarden in agentic software delivery.