Ship AI agents that act —
without the blast radius.
SwishOS red-teams and guardrails AI agents that spend money, call tools, and touch data — so they are safe in production. Built by an architect who has shipped LLM guardrails on a 5.6M-user national program.
The AI Agent Security Operating Layer
Comprehensive protection for autonomous, action-taking AI agents
Red-Teaming & Testing
- Adversarial Attack Simulation
Proactive red-teaming against prompt injections, dev-mode bypasses, and unauthorized tool calls (OWASP LLM Top 10 / Agentic Top 10).
- Open-Source Red-Team Engine
Target-agnostic HTTP runner (agentic-redteam) executing automated payload sweeps against custom agent endpoints.
Guardrails & Policy Engine
- Action-Authorization & Spend Caps
Hard monetary spend caps, policy enforcement, and fail-closed architecture to prevent runaway agent execution.
- Rule of Two & HITL Escalation
Automated Meta's Agents Rule of Two evaluation triggering Human-in-the-Loop admin verification on high-risk actions.
- Data Sovereignty & PII Scanning
Pre-route PII detection that forces queries to local-only execution so private data never leaves your environment.
Security Architecture & Evals
Grounded in 10+ years of enterprise architecture and national government program experience
Evals & Governance
- Continuous Regression Evals
Golden dataset evaluations scoring format integrity, completeness, and context retention with automated self-correction.
- OWASP & Regulatory Alignment
Mapped strictly to OWASP LLM Top 10 (2025/2026), GDPR, and PDPL data residency requirements.
Consulting & Engagement
- AI Agent Security Audit
Fixed 1–2 week deep-dive threat modeling, red-team execution, and prioritized remediation blueprint.
- Guardrail & Red-Team Retainer
Continuous adversarial sweeps, rule updates, and eval telemetry for production agent deployments.
Live Proof-of-Concept Target
Swish App — Autonomous B2B Procurement Agent under active guardrail defense
Real-Money Action Protection
Demonstrating automated procurement under Java ProcurementGuardrailsEngine with real-time spend limits and admin approvals.
Practitioner-Led Advisory
Direct architectural engagement led by senior enterprise architects with 5.6M-user national scale experience.