SOC 2 Type II Ready • NIST AI RMF Compliant • FedRAMP Aligned
Ship Production AI Without the Security Post-Mortem.
We deploy Forward Deployed Security Engineers (FDSEs) directly into your environments to audit, guardrail, and secure complex AI systems and data pipelines.
80% of enterprise AI pilots fail to reach production because CISOs refuse to sign off on privacy, hallucination, and data leakage risks.
Data Leakage & PII Risk
Sensitive training data, RAG corpora, and prompt context leak across tenants, logs, and third-party model APIs—before legal and compliance teams even see a production plan.
Adversarial Prompt Injection
Jailbreaks, indirect injection via retrieved documents, and tool-calling abuse turn helpful assistants into data exfiltration channels and privilege escalation paths.
Shadow AI & Governance Chaos
Teams spin up unvetted models, agents, and API keys outside your security perimeter—fragmenting ownership and making audit trails impossible.
Why FDSEs
Not Another Slide Deck. Engineers in Your Stack.
Compare how security actually gets done when AI ships to production.
Standard Security Consultant
Generic AI Developers
Our AI Security FDSEs
Execution Speed
Weeks of reports
Fast builds, slow security
Embedded in 48 hours
Code Capabilities
Policy only
App code, not security
Guardrails in CI/CD
Post-Sale Ownership
Handoff & leave
Limited scope
Continuous monitoring
Compliance Alignment
Checklist mapping
Ad hoc
NIST AI RMF + SOC 2
Core capabilities
What FDSEs Deploy in Your Environment
Production-grade controls engineered alongside your team—not bolted on after the breach.
🛡️
Real-Time AI Guardrails & Firewalls
Inline policy enforcement on prompts, completions, and tool calls—blocking injection, toxic output, and policy violations before they reach users or downstream systems.
🔐
Access Control & Data Lineage (RAG Security)
Document-level ACLs, retrieval scoping, and lineage tracing so agents only access authorized data—and auditors can prove it.
🕵️
AI Red Teaming & Penetration Testing
Adversarial campaigns against your models, agents, and integrations—prioritized findings with reproducible exploits and remediation playbooks.
📋
Automated Governance & NIST Compliance
Control libraries mapped to NIST AI RMF, ISO/IEC 42001, and EU AI Act—with evidence collection wired into your existing GRC workflows.
Runtime enforcement, visible in your pipeline
FDSEs wire guardrails into CI/CD and production so security events surface where engineers already work—blocking bad deploys before they reach users.
fdse-runtime-monitor — live
How it works
From Assessment to Production Sign-Off
A three-stage deployment model designed for enterprise velocity and CISO confidence.
1
Threat Modeling & Assessment
FDSEs map your AI architecture, data flows, and attack surface—delivering a prioritized risk register and remediation roadmap.
48 hours
2
Embedded FDSE Engineering & CI/CD Integration
Guardrails, access controls, and security tests ship in your pipelines—paired with your engineering team, not parallel to them.
Embedded
3
Production Sign-Off & Continuous Monitoring
CISO-ready evidence packages, runtime monitoring, and drift detection keep systems compliant long after launch day.
Ongoing
Agentic security
Autonomous Agents. Orchestrated by FDSEs.
A coordinated fleet of specialized security agents patrols your AI stack in real time—hunting threats, enforcing policy, and generating audit evidence without waiting for a human ticket.
FDSE Agent Command
Fleet online
Threats blocked 0
Incidents resolved 0
Scans / min 0
FDSE Orchestrator
Proof
Trusted by Security-First Enterprise Teams
“We had a working AI assistant stuck in pilot for nine months. The FDSE team embedded in our Azure environment, closed our top twelve risks in three sprints, and gave our CISO the evidence package he needed to sign off.”
Sarah Chen
CISO, Fortune 500 Healthcare Provider
Get started
Unblock Your Enterprise AI Rollout Today.
Tell us about your stack and deployment timeline. An FDSE lead will respond within one business day.