What happens to your data when your employee uses ChatGPT?
AI asset inventory, risk assessment, use policies and technical controls so you can use ChatGPT, Copilot and agents with confidence — before a regulator, an auditor or an incident forces you.
You adopted AI without policies. And you didn't know.
A CTO enabled Copilot to speed up the team. Three months later, contracts, proprietary code and customer data have moved in and out of third-party LLMs — no DLP, no policies, no traceability. This isn't an isolated case: it's the 2026 pattern.
Invisible IP leakage
Pasting a contract or a code snippet into a public LLM is the same as publishing it — and your security team never finds out.
Shadow AI with no inventory
Every area buys its own AI plug-in, agent or wrapper. With no discovery, you can't protect what you can't see.
AI Security & Governance by BITS
Inventory, policy, technical controls and continuous audit so your organization uses AI with confidence and speed.
Checklist: 25 controls for AI Governance
Download the same list we use in assessments — aligned with NIST AI RMF and ISO/IEC 42001.
Without governance, AI is a risk. With governance, it's an edge.
Switch between the typical risks of shadow AI and the controls we apply in our AI Security & Governance program.
Living inventory of AI assets
Models, datasets, APIs, agents and critical prompts — all cataloged.
Applicable use policies
What can be shared with which tool, by role and by data type.
Technical controls by layer
DLP for AI, SSO, PII redaction, sandboxes and prompt gateways.
Continuous audit
Logs, usage metrics, executive reports and audit-ready evidence.
An end-to-end AI Security & Governance program
It's not a firewall and not a compliance sticker. It's a secure-AI operating system: discovery, policy, technical defense and continuous evidence.
AI asset inventory and discovery
Models, datasets, APIs, agents and plug-ins in use — we discover shadow AI from browser, network and cloud.
- Automated discovery
- Dependency map
- Risk-based classification
Use policies and AI Acceptable Use
What can be shared, with which tool and by role — grounded policies your team actually understands.
- Industry templates
- Use-case approval
- Team training
Technical controls for generative AI
DLP for LLMs, PII redaction, mandatory SSO, prompt gateways and sandboxes for agents.
- DLP for ChatGPT/Copilot
- Prompt firewall
- SSO + MFA
Defense against OWASP LLM Top 10
Mitigation for prompt injection, context leakage, model supply chain, jailbreaks and data poisoning.
- Red-teaming for copilots
- Jailbreak testing
- RAG hardening
Continuous audit and monitoring
Prompt logs, usage metrics, abuse alerts and executive reports ready for your committee and auditor.
- Secure logging
- SIEM for AI
- Monthly reports
Compliance with NIST AI RMF / ISO 42001
Map your controls against NIST AI RMF, ISO/IEC 42001, EU AI Act and LFPDPPP. Audit-ready evidence.
- Gap analysis
- Controls matrix
- Auditor evidence
Who decides what your models, data and agents do?
AI adoption isn't going to stop. The difference is whether you govern it — or it governs you.
AI without governance
- VisibilityZero · shadow AI everywhere
- Sensitive dataPasted into public LLMs
- Use policyNonexistent or ignored
- AuditNo logs, no evidence
AI Security & Governance
- VisibilityContinuous AI asset inventory
- Sensitive dataDLP + automatic redaction
- Use policyApproved, trained, enforced
- AuditLogs, metrics and ready evidence
AI Security & Governance is ideal if you recognize yourself here
You don't need to slow innovation: you need to run it with judgment, evidence and alignment to international frameworks.
- Your team is already using ChatGPT, Copilot, Gemini or Claude without a formal policy.
- You have internal copilots, agents or RAG assistants on top of your own data.
- You handle regulated information (PII, healthcare, financial, government).
- Your committee or board is asking you about AI risks.
- You want to get ahead of NIST AI RMF, ISO/IEC 42001 or the EU AI Act.
Start with an AI Assessment in 2 weeks
Maturity diagnosis, inventory and top-10 actionable risks.
Five steps to govern AI in your organization
A clear, repeatable cycle aligned with NIST AI RMF, to move you from uncertainty to a passed audit.
AI asset inventory
Models, datasets, APIs, agents and critical prompts.
Risk assessment
OWASP LLM Top 10, mapping to NIST AI RMF and a per-process matrix.
Use policies
AI Acceptable Use by role, training and use-case approval.
Technical controls
DLP, SSO, gateways, sandboxes, red-teaming and hardening.
Continuous audit
Logs, metrics, executive reports and evidence for the auditor.
Adopt AI fast — without surprises for the board
AI Security & Governance accelerates responsible adoption, reduces regulatory risk and protects your most valuable asset: your information.
Early compliance
NIST AI RMF, ISO/IEC 42001, EU AI Act and LFPDPPP — deliver evidence before the regulator asks for it.
Faster adoption
Your team stops asking permission case by case: policy, controls and approved use cases already exist.
Trust from board and customer
Prove control over your models, data and agents — key for enterprise sales and regulated contracts.
AI governance amplifies the rest of the BITS stack
Combine it with our services to cover every layer of your operation, from data to model.
SOC / MDR / XDR
24/7 detection and response — now also for AI-usage anomalies.
Zero Trust / ZTNA
Identity and device verified before accessing any model or API.
SASE / SSE
Inspection and DLP on your users' traffic toward LLMs and AI SaaS.
Vulnerability Management
Pipelines, libraries and model supply chain continuously audited.
Managed cloud
Secure architectures for training, inference and RAG on AWS and Azure.
Service desk / ITSM
Formal workflow to request and approve new AI use cases.
Vendor-neutral stack
We work with your tools: Microsoft, Google, OpenAI, Anthropic, Fortinet, Palo Alto.
AI + security team
AI architects and security analysts working together on every engagement.
Ready-made playbooks
Policy, controls and red-teaming templates to accelerate your program.
Local operation in Chihuahua
On-site team in northern Mexico coordinating with your CISO and board.
Companies already governing their AI with BITS
Real-world projects of safe AI adoption — from use policies to technical controls and continuous audit.
Paseo Central – Chihuahua
El proyecto comercial, hotelero y corporativo más grande del estado.
- CCTV Digital IP de Misión Crítica
- Control de Acceso Avanzado
Grupo México
Seguridad y automatización inteligente en ambientes mineros hostiles.
- Monitoreo Integral con IA
- Reducción de Costos en Operación
Grupo Bafar
Servicios Administrados de red LAN/WAN y Seguridad Perimetral.
- SLA de Disponibilidad del 99.13%
- Reducción de Costos del 40%
More on AI Security & Governance
Selected articles from our blog to dive deeper into risks, regulatory frameworks and controls for generative AI.
Partners y tecnologías que dominamos
Frequently asked questions about AI Security & Governance
Use AI with confidence — before the regulator forces you
Book a 30-minute AI Security & Governance Assessment. We review your current adoption, critical risks and design your 90-day roadmap.