SERVICE 05
Production-grade AI agents, built with security rigor from day one.
We design and build agentic AI applications — multi-agent systems, autonomous workflows, AI-assisted internal tools — and we threat-model them the same way we'd threat-model a piece of critical infrastructure. Most teams building AI agents today are moving fast and skipping this step. We don't.
What we do
Multi-agent system architecture and design (LangGraph, OpenAI Agents SDK, Bedrock Agents)
Agent orchestration and retrieval-augmented generation (RAG) pipelines
Agent memory and context/control architecture
Threat modeling for agentic systems against the OWASP Top 10 for LLM Applications (prompt injection, tool-misuse, data exfiltration paths)
Guardrail and evaluation pipelines (NeMo Guardrails, promptfoo) for pre-production testing
Integration with existing cloud infrastructure and data sources
MCP-based tool integration and secure tool-access design
Deliverables
Working agent system, architecture documentation, threat model, eval suite, deployment pipeline, monitoring/evaluation setup.
Tech we work in
Azure OpenAIOpenAI Agents SDKLangGraphBedrock AgentsMCPOWASP LLM Top 10Vector DBs (pgvector, Pinecone)promptfooPythonNext.jsAWS/Azure/GCP