Govern the AI you deploy. Behind your perimeter.
BTA installs the governance controls, agent-authority matrix, and on-premise architecture that make AI safe to run inside regulated environments.
Prompt-injection defenses, output filters, data-leakage guardrails, per-action audit logs, kill-switch authority, NIST AI RMF and ISO/IEC 42001 alignment, EU AI Act risk-tier classification. Governance is installed in Phase 2 and signed off in Phase 3B.
Where AI deployments break under governance pressure.
Most enterprise AI projects clear pilot but stall at production. Auditors, regulators, and cyber-underwriters want documented governance, not screenshots of dashboards.
- Risk 01
Agent authority is undefined
Agentic workflows take actions that look like real production changes, but no one has signed who can approve what. The kill-switch lives on someone's laptop.
- Risk 02
Data sovereignty rules block public-cloud LLMs
Banking, defense, healthcare, and legal teams cannot send sensitive data to public model APIs. The architecture has to run behind the perimeter.
- Risk 03
AI-specific frameworks are new and stacking up
NIST AI RMF, ISO/IEC 42001, EU AI Act risk tiers, model cards, data cards, agent-authority matrices. Compliance teams need this documented and operating, not promised.
How BTA installs AI governance.
Every AI engagement runs through BTA's 4-phase model. Governance is installed in Phase 2 (lab) and signed off in Phase 3B (production).
- 01
Governance controls install
Prompt-injection defenses, output filters, data-leakage guardrails, per-action audit log, human-in-the-loop thresholds, documented kill-switch with defined authority. Installed during Phase 2 in the BTA AI POD lab.
- 02
On-premise deployment
AI infrastructure inside your data center, under your existing security controls. Sensitive datasets stay on your hardware. Cisco UCS X + NVIDIA GPU reference architecture.
- 03
Compliance alignment
NIST AI RMF, ISO/IEC 42001 where applicable, EU AI Act risk-tier classification if in-scope, model and data card templates, agent-authority matrix, incident response and breach-notification runbook.
- 04
Production sign-off
Phase 3B: production readiness gate with documented failure-mode and blast-radius tests. Self-sufficiency attestation. Customer team mentored to operate without BTA on Day-2.
What AI Security & Governance delivers.
Concrete, customer-side results we measure to.
- 0Sensitive data leaving the perimeter
- AuditGrade governance documentation
- OwnedAgent-authority matrix signed by sponsor
- RMFAI controls aligned to NIST AI RMF + 42001
We're architects who execute.
Three principles every BTA engagement runs on. Visible in the work itself.
We architect, deploy, and stay through Day-2.
Every engagement is end-to-end. We design the target environment, deploy it in stages, and remain on hand through the operational handoff.
We train your team to own the outcome.
Training is part of every engagement. By the close of an engagement, your operators can run, maintain, and defend the system to an auditor.
We measure success when your team runs it alone.
An engagement closes when your team is operating the solution without us in the room. SIMPLE methodology enforces this exit criterion on every project.
We meet you where you are.
Some teams want the full BTA delivery from architecture to handoff. Others bring us in for a single advisory window or a fully managed operations contract. Pick the model that fits and adjust as the business changes.
Consulting & Advisory
Strategy and senior guidance. Architecture reviews, technology assessments, and roadmap design for teams that own their own operations.
Learn moreManaged Services
BTA runs the system day to day under your governance. Monitoring, change management, escalation paths, and SLAs for teams without Day-2 capacity.
Learn moreDeployment
Implementation-only engagement. Faster than the Full Service Lifecycle when the customer team will not own operations afterwards.
Learn moreOptimization
Refresh and refine an existing environment. Performance, automation, and refactor work for platforms already in production.
Learn moreEnablement
SIMPLE-driven Quickstart programs that deliver a specific Cisco capability into production on a known timeline.
Learn moreMentoring
Capability transfer for teams adopting a new platform. Pair-programming, custom training modules, and Cisco MINT-aligned curriculum.
Learn more
Questions buyers ask about AI Security & Governance.
Direct answers from BTA architects who run these engagements.
What governance controls does BTA install?
Prompt-injection defenses, output filters, data-leakage guardrails, per-action audit logs, human-in-the-loop thresholds, and a documented kill-switch with defined authority. Installed during Phase 2 in the BTA AI POD lab and signed off in Phase 3B production deployment.Do you align to NIST AI RMF and EU AI Act?
Yes. AI governance policy is aligned to NIST AI RMF and ISO/IEC 42001 where applicable. EU AI Act risk-tier classification is performed if the system is in scope. Model card and data card templates, agent-authority matrix, and incident response / breach-notification runbook are part of the Phase 3B deliverable.Can BTA work in air-gapped or restricted environments?
Yes. The reference architecture is on-premise Cisco UCS X + NVIDIA GPU. Sensitive datasets do not leave the perimeter. QuickStrike is BTA's productized form of this for repeatable deployments.What about agent authority for autonomous workflows?
Phase 2 ships an agent-authority matrix that defines what each agent can do, who approves which classes of action, and how the kill-switch is exercised. The matrix is signed by the executive sponsor before production.
Schedule a call. We’ll scope it in 30 minutes.
Bring your hardest architecture problem. We’ll tell you what we’d do, what it costs, and how long it takes.
- 30-minute scoping call
- 1,000+ projects shipped
- Training in every engagement