Services

Services

We audit AI systems from an attacker's perspective, harden them against real threats, and build them secure from day one.

01

Audit

AI security assessment from the attacker's perspective. We break systems the way adversaries do — then document exactly what we found and how to fix it.

  • LLM vulnerability assessment — prompt injection, data poisoning, model inversion, system prompt leakage
  • MCP server security review — tool poisoning, schema injection, privilege escalation via tool chaining
  • RAG attack surface analysis — indirect prompt injection, vector DB access control, cross-tenant leakage
  • AI agent security assessment — excessive agency, memory poisoning, SSRF via tool use
  • Web application, API, and infrastructure penetration testing
  • OWASP LLM Top 10 / MITRE ATLAS mapping and compliance reporting
GIAC GWAPT certified
02

Protect

Defense architecture designed by engineers who know how the attacks work. Zero Trust for AI — from system design to runtime guardrails and continuous monitoring.

  • Zero Trust architecture design for AI systems (IAP / Cloud Armor / WAF / VPC isolation)
  • Defense-in-depth design for LLM applications — input validation, output filtering, sandboxing
  • Permission design, audit logging, and access control for RAG and AI agent systems
  • Runtime monitoring and anomaly detection for AI workloads
  • Guardrail design and implementation for production LLM deployments
  • Compliance support — OWASP / PCI DSS / NIST AI RMF / FISC / EU AI Act
03

Build

We build AI-powered products across the full spectrum — enterprise systems, consumer tools, developer utilities, and open-source software. Security is not a layer we add at the end; it is how we design from the start.

  • Enterprise AI systems — RAG pipelines, AI agents, MCP integrations, data infrastructure
  • Consumer-facing products — SaaS tools, web and mobile applications built for real end users
  • Developer tools and CLI utilities — Go, TypeScript, Python; designed for the command line first
  • Open-source software — tools released publicly, maintained with documentation and community in mind
  • Generative AI strategy — use case selection, human × AI responsibility design, evaluation metrics
  • Production deployment on Azure OpenAI / Google Cloud / Amazon Bedrock
RSM certified

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