Your agents can act.
Now they need a warden.
Warden is the control plane between your AI agents and everything they can touch. Every tool call carries an identity, clears a policy, and leaves an audit record — so an injected instruction never becomes a refund, a deletion, or a data leak.
▼ Live demo · real UI · synthetic data — click around
↔ drag the console sideways to see the rest
Warden is pre-launch. The console above is a working simulation of the product running synthetic traffic — not a live customer environment. Design-partner slots are open.
Intercept. Decide. Prove.
Warden sits in the path of every tool call an agent makes. No model changes, no prompt rewriting, no agent framework lock-in.
Intercept
Point your agents at the Warden endpoint instead of calling tools directly. It speaks MCP, OpenAI tool-calling and plain HTTP, so nothing in your agent code has to change.
- MCP server proxy
- Tool-call gateway
- Egress broker
Decide
Each call is checked against the agent’s identity, data classification, spend caps and blast-radius limits — then allowed, held for a human, or blocked, in under fifteen milliseconds.
- Per-agent least privilege
- Injection-aware content tagging
- Human-in-the-loop approvals
Prove
Every decision leaves a signed record: who asked, what was attempted, which policy fired and why. Replayable end to end, and mapped to the frameworks your auditors already use.
- Tamper-evident action log
- Chain reconstruction
- NIST AI RMF / EU AI Act evidence
Defend With AI. Secure Your AI.
Warden governs what your agents are allowed to do. Our services practice covers everything either side of that line — defending your environment with AI, and securing the AI systems you build and ship.
Agentic SOC
An AI-driven security operations layer that correlates signals, triages alerts, and executes containment playbooks autonomously — with analysts in the loop for the decisions that matter.
AI Threat Detection
Machine-learning models that profile normal behavior across identity, endpoint, and cloud, then surface the anomalies and novel attack patterns signature tools miss.
AI-Driven Incident Response
Automated evidence collection, root-cause reconstruction, and guided containment that compress investigation time from days to minutes during an active incident.
LLM Firewall & Prompt Defense
Inline guardrails for your AI apps: prompt-injection and jailbreak filtering, output moderation, PII and secret leakage prevention, and tool-call authorization for agents.
AI Red Teaming
Adversarial testing of your models and agents — jailbreaks, prompt injection, data exfiltration, and abuse chains — mapped to OWASP LLM Top 10 and MITRE ATLAS.
AI Governance & Model Risk
Model inventory, AI supply-chain and data-poisoning controls, and evidence mapped to the NIST AI RMF and EU AI Act so your AI program survives audit and scrutiny.
Built for the AI Threat Landscape
Most security programs were designed before LLMs and autonomous agents existed. Ours assumes both — on offense and defense.
AI on Defense
Models that learn your environment and adapt to novel attacks in real time — catching anomalies that static signatures and rules never will.
Security for Your AI
We treat your models, prompts, agents, and training data as first-class assets — and defend them against injection, poisoning, and abuse.
Autonomous Triage
Agentic workflows correlate, enrich, and contain at machine speed, so analysts spend their time on judgment calls, not alert queues.
Framework-Aligned
Findings and controls mapped to NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS, plus SOC 2, ISO 27001, and the EU AI Act.
Adversarial by Default
We red-team every model and agent the way real attackers do — jailbreaks, exfiltration, tool abuse — before they reach production.
Evidence-Led Reporting
Every engagement produces clear findings, severity rationale, owners, timelines, and executive-ready remediation status.
For Teams Shipping AI
Wherever AI touches sensitive data or real decisions, the attack surface changes. We secure the organizations putting AI into production.
Financial Services
Securing AI copilots, fraud models, and chat assistants where a single prompt injection can move money or leak account data.
Healthcare
Guardrails and governance for clinical LLMs and diagnostic models handling PHI under HIPAA.
AI-Native SaaS
Red teaming and LLM firewalls for products built on agents, RAG pipelines, and third-party foundation models.
Public Sector
NIST AI RMF alignment and EU AI Act readiness for agencies deploying AI in high-stakes contexts.
Retail & E-commerce
Abuse, fraud, and content-safety defenses for customer-facing assistants and recommendation models.
Critical Infrastructure
Protecting ML-driven monitoring and automation across energy, utilities, and industrial systems.
Your agents already have write access.
If an agent in your stack can send an email, move money, merge code or change infrastructure, the interesting question is not whether it will be manipulated — it is what happens the first time it is.
Fits Your AI & Security Stack
We integrate with the model providers, AI infrastructure, and security telemetry you already run.
Frameworks We Align To
We map our methodology and deliverables to these standards. These describe how we work — they are not certifications Arcitix itself holds. See our Trust Center for our own attestations.