Every security team wants the same thing:

stop bad code before it ships, without stopping good code.

With AI-assisted development, that balance is harder because the volume is higher. The only way to scale is with clear policy.

Not vague guidelines. Explicit, enforced, pre-merge policy.

#The three enforcement tiers

A sustainable program uses three responses, not one.

#1) Block

Use for clear, high-confidence violations where the risk is unambiguous:

• secrets in code
• known vulnerable dependencies
• forbidden licenses
• critical insecure patterns (eval with user input, unsafe deserialization)
• changes to sensitive CI permissions without approval

Blocking is binary. It protects the baseline. It should never block “grey area” cases, or teams will bypass it.

#2) Warn

Use for risks that need visibility but don’t always need action:

• new dependencies without adoption signals
• code patterns that can be insecure depending on context
• missing input validation on non-critical paths
• logging that may expose sensitive data

Warnings create awareness. They train reviewers. They help teams build judgment without creating velocity emergencies.

#3) Require Review

Use for changes that are inherently architectural and cannot be automated safely:

• authn/authz changes
• changes to encryption or data handling
• new outbound integrations
• changes to build or deploy pipelines
• modifications to exception or audit logic

This is where humans add the most value. The role of automation is to route these changes to the right reviewers, not to decide them.

#Mapping policy to real categories

| Category | Block | Warn | Require Review | |---|---|---|---| | Secrets in diff | yes | — | — | | Known CVE in new dep | yes | — | — | | Forbidden license | yes | — | — | | New dependency | — | yes | if high-risk | | Unsafe pattern | — | yes | if critical path | | Authz change | — | — | yes | | CI permission change | yes | — | — | | New network call | — | yes | if sensitive | | Test coverage drop | — | yes | — | | Build script change | — | yes | yes |

Your exact matrix will differ. The point is to make it explicit.

#Why “block everything” fails

Over-blocking produces the same outcome as under-blocking:

teams route around the control.

If policy is too aggressive, you get:

• false positive fatigue
• emergency exception processes
• shadow PRs and manual workarounds
• erosion of trust between security and engineering

Good policy is:

• high-confidence where it blocks
• context-aware where it warns
• routing-aware where it requires review

#The Cyblox view: policy should fit your engineering flow

GenAI Code Security supports graduated enforcement:

• define block/warn/review rules per category
• surface findings in PR with severity and rationale
• produce evidence of what was checked and why
• tune rules based on your actual codebase and risk posture

More at: /solutions/security/genai-code-security/.

#Closing thought

Policy is not a list of “don’ts.”

It is a decision framework that helps teams ship fast and safely.

If AI-generated code is entering your repos, add pre-merge security, secrets, licensing, and policy checks—with review evidence—without changing how developers work.