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Security Notes

Practical observations on the new security problems created by AI-generated software, high-volume findings, and remediation overload.

Observations

AI-generated code is increasing review volume

As more code is produced by AI assistants and code generators, the surface area requiring security review grows faster than human teams can absorb.

More findings do not automatically mean better security

A scanner that outputs tens of thousands of issues without proof or context shifts the burden, but does not reduce the risk.

Why remediation backlogs grow after AI scans

Unprioritized, unproven findings accumulate. Engineering teams cannot tell what is real, what is exploitable, or what to fix first.

Why validation matters after a fix is proposed

A suggested fix is only a hypothesis. Without re-evaluating the affected path, teams cannot confirm the vulnerable code is closed.

How proof-backed findings reduce wasted effort

When a finding includes the affected path, missing guard, and supporting evidence, triage moves from guesswork to engineering work.

Finding volume is not security progress

Count what is validated and closed, not what is reported.

Suggested fixes still need validation

Treat AI-proposed patches as drafts until the path is re-checked.

AI-created code needs earlier security checks

Push review into the generation loop, not after the PR has shipped.

Security reports should explain proof, not just risk

Reviewers, auditors, and developers all need the evidence behind a finding.

Need help turning findings into validated fixes?

Telhawk helps teams move from finding volume to validated remediation with proof-backed evidence.