AI Code Security
AI generated code, prepared for production and reviews
I harden AI-generated code for production: secret hygiene, dependency and licence vetting, guardrails, observability, and compliance evidence to support SOC 2 or ISO reviews.
What specific hardening practices are included?
- Secret scanning and credential hygiene (no hardcoded credentials)
- Dependency vulnerability scanning and license compliance
- Static analysis for common security issues (SQL injection, XSS, etc.)
- Input validation and schema enforcement (Zod, JSON Schema)
- Runtime monitoring and alerting (structured logging, metrics)
- Cost and latency guardrails with SLO tracking
- Feature flags and safe rollback mechanisms
- Audit trail generation mapped to compliance requirements
No commitment required. Paid engagement optional.
AI-native products
AI is the product
Model reliability, drift monitoring, HA or DR implementations, uptime targets and SLA frameworks, GPU and scaling controls.
Teams that serve models directly and need stability, observability, and compliance.
AI-enhanced apps
Apps built with AI assistance
Guardrails, fallbacks, feature flags, cost and latency SLOs, and safe rollbacks for Claude or ChatGPT powered features.
Teams shipping product features with AI generated code who must pass security or procurement reviews.
What can go wrong
- • Secret or prompt leakage in code or logs
- • Unvetted dependencies or license conflicts
- • Unsafe outputs without validation or filters
- • No prompt or output logging for audits
- • No rollback or feature flag path for bad responses
- • Cost or latency spikes without SLOs or circuit breakers
What gets implemented
- • Secret scans, vaulting, and redaction in prompts
- • Dependency and license audit with pinned versions
- • Schema validation, allow or blocklists, and safe fallbacks
- • Redacted prompt and output logging for observability and audit
- • Feature flags, circuit breakers, and rollback to non AI paths
- • Latency and cost SLOs with spend alerts and dashboards
Packages
Start with the assessment, then harden and ship with confidence.
AI Code Security Assessment
1 WeekOne week assessment of AI generated codebases with findings mapped to a controls checklist and SOC 2 or ISO evidence needs.
- • Secret and dependency hygiene report
- • Static analysis and dependency/licence hygiene with findings formatted to support audits
- • Prompt and output logging plan (redacted)
- • Guardrail and validation gaps
- • Feature flags, rollback, and circuit breaker recommendations
- • Cost or latency SLO guidance and monitoring plan
AI Code Hardening Sprint
2-4 WeeksTwo to four week implementation sprint (depending on scope and access) to close findings, add guardrails, and ship evidence to support SOC 2 or ISO reviews.
- • Secret removal, vault integration, and dependency pinning
- • Schema validation, allow or blocklists, fallbacks, and safe outputs
- • Feature flags, circuit breakers, and rollback to non AI paths
- • Redacted prompt and output logging with dashboards
- • CI gating with static analysis, runtime error capture, and regression tests that can raise tickets when enabled
- • Evidence pack to support SOC 2 or ISO reviews
FAQs
Common questions about securing AI generated code
Do you support code generated by Claude or ChatGPT?
Yes. I review and harden AI-generated code with secret hygiene, dependency and license checks, output validation, logging, and guardrails to prepare it for production use.
What is included in the assessment?
A one week assessment maps findings to a controls checklist: secrets removed or vaulted, dependency and license report, prompt and output logging (redacted), schema validation and allow or blocklists, feature flags and rollback paths, and cost or latency SLOs.
How long does hardening take?
Most hardening sprints take two to four weeks depending on scope, environment access, and responsiveness.
Do you handle compliance evidence?
Yes. I align controls to SOC 2 or ISO 27001 and produce evidence to support reviews: scans, change history, logging samples, and policy updates for AI codegen usage. Audit outcomes are determined by independent auditors. I provide preparation and evidence, not certification.
Ready to harden your AI generated code?
Start with a no-cost discovery call. Assessments are typically delivered in about one week with timely access.
No commitment required. Paid engagement optional.