Secuarden intelligence
Practical perspectives on AI code security, coding-agent governance, software provenance and change assurance.
From the team
Compare GitHub Copilot approvals, Agentic Workflows and Agent Merge, and explore how teams define authority and evidence for sensitive AI-generated changes.
Why string-prefix checks fail to contain Python file downloads, how to check resolved path relationships, and where symlink races and authorization still matter.
Anthropic’s OSS Scanner brings recurring AI security scans to open source. Here is the evidence teams need when a suggested patch becomes a repository change.
Calculate the operational ROI of AI-assisted development evidence using review, audit, investigation, and compliance effort—not speculative breach costs.
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?
Darktrace's controlled agent-history poisoning research reveals why software teams need independent evidence for AI-assisted code changes.
The Blueprint Alliance advances enterprise agent security. Software teams also need policy and provenance for the code agents change.
Why agentic AI governance must match autonomy to verifiability—and preserve human intent, agent activity, policy decisions and code lineage.
A Mandiant incident shows how a poisoned package recommendation can lead from an AI coding session to credential theft and repository compromise.
A practical way to understand the complementary roles of Atlassian, Qodo, and Secuarden in agentic software delivery.