Secure AI & GenAI, from idea to impact

Threat modeling, secure SDLC, and penetration testing woven into AI delivery — RAG, agents, and model integrations that ship fast and stay safe.

SOC 2 & ISO‑aligned • Data‑minimizing • Privacy by default

  • AI Threat Modeling

    STRIDE/LINDDUN for LLM apps

  • Secure SDLC

    SAST/DAST/SCA + SBOM

  • Pen Testing

    Web/API/Cloud & LLM red teaming

  • Model Evals

    Safety, quality & drift

AI & GenAI Offerings

RAG & Search

Domain‑grounded answers with guardrails and observability.

Agents & Automation

Task‑safe agents with rate limits, audit logs, and reversible ops.

Model Integration

OpenAI/Azure/Bedrock with policy enforcement and cost telemetry.

Data Privacy & Governance

Minimization, masking, consent flows, retention, DLP, PII/PHI protection.

Evals & Monitoring

Safety & quality evals, canary tests, drift detection, runbooks.

Compliance Enablement

SOC2/ISO/NIST/HIPAA‑aware workflows and documentation.

AI Security: What We Cover

Threat Modeling

  • Attack trees for prompt injection, data exfiltration, jailbreaks
  • STRIDE & LINDDUN for LLM components
  • Supply‑chain risks (models, embeddings, datasets, APIs)
  • Abuse cases & safety constraints mapped to controls

Secure SDLC

  • SAST/DAST/IAST & SCA with policy gates and SBOMs
  • Data contracts, schema validation, content safety filters
  • Secrets mgmt, KMS, environment isolation, least privilege
  • Telemetry: prompt/response logs, flags, red‑flag alerts

Pentesting & Red Teaming

  • Web/API & cloud pentests (OWASP ASVS/API/Cloud)
  • LLM red teaming: jailbreaks, prompt injection, data leakage
  • Guardrails, rate limiting, and kill‑switches
  • Findings with severity, repro steps, and retests

Governance, Risk & Compliance

  • Model cards, data lineage, and audit trails
  • Privacy impact assessments (DPIAs) for AI features
  • Policy templates, access reviews, and incident playbooks
  • Mappings to SOC2, ISO 27001, HIPAA, NIST AI RMF