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A Autometric

[frameworks]

FedRAMP control context, inside the review flow.

Autometric helps teams in regulated federal or defense environments keep a strong AI review engine while layering in control-family context, evidence export, and deployment options that fit tighter boundaries.

Book a FedRAMP demo See deployment options

[framework evidence]

Review depth stays on. Framework evidence layers in.

control-mapped findings

SOC 2

CC6, CC7, CC8 review pack active

evidence export

PCI DSS 4.0

Requirement 6 mapped to repository rules

evidence export

FedRAMP

AU, CM, SI controls attached to findings

evidence export

Why teams scope it

FedRAMP-bound software delivery needs evidence and deployment posture that ordinary developer tools rarely satisfy.

What gets attached

Control-family context can show up directly in the review output and evidence trail.

What stays on

The review engine still catches auth flaws, logic errors, and performance regressions in the same repositories.

[how enforcement shows up]

FedRAMP changes the review context, not the reviewer.

  • Attach control-family context to review findings in scoped repositories.
  • Keep merge behavior and review history aligned with stronger assurance needs.
  • Support SaaS, VPC, on-prem, and air-gapped rollout narratives.

[best-in-class review]

Core AI code review still stays on.

FedRAMP context does not mean checklist-only review. Autometric still prioritizes core code-review quality so teams catch real bugs and security issues before they turn into findings or incidents.

When a pull request links a bug or feature ticket, that task context can stay attached to the same review and evidence path.

[evidence]

Evidence teams can actually reuse.

  • Evidence export with repository scope and review outcomes preserved.
  • Deployment story aligned with federal and defense boundary expectations.
  • Support for SCMs, including Gerrit, used in more governed delivery environments.

[rollout]

Typical rollout pattern.

  1. step 1

    Pilot in one regulated repository or program boundary.

  2. step 2

    Lock deployment and review thresholds with platform and security owners.

  3. step 3

    Expand to adjacent systems after the evidence model is accepted.

[cta]

Need to see FedRAMP enforcement on a real repository?

Book a framework demo See the review engine