Unsafe green passes
Catch agents that make the final check pass while taking a risky operational path.
AI Infrastructure Agent Readiness
Safely evaluate AI infrastructure agents before production access
Vendor-neutral readiness assessment, private incident scenarios, and adoption support for teams evaluating AI SRE, Kubernetes, and DevOps agents.
The production trust gap
Agents are being evaluated by demos while production risk stays unclear
Teams are asked to trust agents with clusters, GitOps workflows, Terraform, incident response, and runbooks before they know how those agents behave under pressure. SameBits helps turn that uncertainty into repeatable evidence.
What gets tested
Failure modes that matter before granting infrastructure access
The assessment looks beyond pass or fail. It checks whether the agent diagnosed first, respected scope, avoided unsafe shortcuts, and produced evidence your platform team can review.
RBAC overgrant
Detect fixes that restore functionality by granting broader permissions than needed.
Wrong scope actions
Test whether the agent verifies namespace, workload, and blast radius before mutating infrastructure.
Missed diagnosis
Separate real root-cause investigation from lucky edits, retries, and premature success claims.
Symptom masking
Find changes that hide CrashLoop or readiness failures instead of fixing the underlying config.
Private incident regressions
Turn your own incidents, runbooks, and postmortems into repeatable readiness scenarios.
Agent Readiness Audit
Evaluate one or more AI SRE, Kubernetes, DevOps, or MCP-based agents on a focused readiness suite.
Outcome
Evidence-backed risk report with recommended access boundaries.
Private Incident Scenario Pack
Convert real incidents, postmortems, runbooks, and failure modes into private Evidra Bench scenarios.
Outcome
Rerunnable regression suite that reflects your infrastructure reality.
AI SRE Adoption Pilot
Help select a vendor or open-source stack, run a safe lab, define guardrails, and plan rollout.
Outcome
Practical adoption path with read-only, approval-gated, or write-access recommendations.
Delivery workflow
From vendor shortlist to rerunnable regression suite
The engagement can stay lightweight as an audit, or continue into private scenario authoring and an adoption pilot with access boundaries and rollout recommendations.
1
Discover
Clarify agent goals, vendor shortlist, existing runbooks, and production access concerns.
2
Select scenarios
Combine standard readiness traps with private incident scenarios that matter to the team.
3
Run in a lab
Exercise agents against controlled Kubernetes, GitOps, Terraform, and DevOps-style failures.
4
Review evidence
Inspect transcripts, tool calls, timelines, scorecards, failure autopsies, and patch artifacts.
5
Recommend rollout
Define access mode, guardrails, approval points, and regression checks before production use.
DevOps and platform credibility
Agent readiness only works when the infrastructure reality is understood
This is not a generic AI evaluation service. SameBits brings senior DevOps and platform engineering context to scenario design, evidence review, access boundaries, and rollout planning.
Kubernetes operations
GitOps and release safety
CI/CD hardening
Observability-first debugging
Terraform and cloud controls
Production access boundaries
Evaluating an AI SRE or Kubernetes agent?
Bring a vendor shortlist, an internal agent, or a few incident examples. We can turn that into a focused readiness assessment and private regression path.