AI you can put past security review.
Insurance, healthcare, and financial services can't ship AI that fails an audit. We build security and auditability from day one — so your system passes review, not stalls at it.
Security at the edge of AI.
Regulated industries — insurance, healthcare, fintech — can't deploy AI that hasn't passed security review. Every system we build is designed to survive that gate.
AI systems fail in ways traditional software doesn't: prompt injection, data leakage through model outputs, over-broad tool access, unbounded API spend, and weak tenant isolation. We treat these as first-class engineering risks.
AI-augmented auditing.
We pair automated security tooling with AI review agents. Claude-based code-review and security-auditor agents scan for tenant-isolation gaps, authentication boundaries, injection risk, and input-validation holes on every pull request. The combination gives consistent, repeatable coverage that human review alone can't match, without slowing the build.
Code-level and infrastructure-level audit.
Code-level audit
Automated PR analysis, secret-detection across full Git history (GitLeaks), semantic data-flow analysis (CodeQL), dependency CVE scanning (OWASP Dependency Check), and continuous static analysis (SonarCloud).
Infrastructure-level audit
Dynamic application security testing (OWASP ZAP), formal VAPT, continuous cloud workload protection (Microsoft Defender for Cloud), and mandatory pipeline gates that block any deploy failing a security scan.
Secure CI/CD by default.
We ship behind a security-gated pipeline: secret detection, SAST, software-composition analysis, container image scanning, and manual approval gates run before anything reaches production. The pipeline is blocked the moment a security check fails. Deployment is blue/green with health checks and rollback. Every engagement includes a signed security-audit report for client assurance.
Hardening we build in.
Data encrypted at rest and in transit; field-level encryption for sensitive PII.
Fine-grained RBAC and least-privilege service identities at application and cloud level.
TLS enforced everywhere, private endpoints, WAF at the edge, inbound traffic restricted to known ranges.
Throttling middleware on every API (especially AI endpoints) with spend caps to contain runaway model cost.
Security principles.
Catch issues in code, not in production.
Security integrated into the pipeline you already run.
Maximise coverage at zero added cost. Add paid tooling where it earns its place.
AI agents plus automated tools deliver coverage that's systematic and consistent.
Built toward compliance from day one.
Policy compliance scoring, secure-score reporting, and signed audit artifacts — built toward the frameworks your industry names:
- •HIPAA — healthcare and health-tech (BAAs where applicable)
- •SOC 2 — fintech, SaaS, and platform buyers
- •Data residency — on-prem and region-locked deployments
- •NAIC / state insurance — claims and underwriting systems
Framed as "aligned with / built toward" — not certified unless true.
Ship AI that passes security review on the first attempt.
Evals, guardrails, and signed audit artifacts — built in from day one. Your security team gets what they need to say yes, not reasons to say no.
Schedule a Security Review