AI security & governance
Adopt AI without creating unmanaged risk.
Prometheus helps organizations identify how AI is being used, where sensitive data and decision risk enter the lifecycle, and which governance and technical controls are needed for generative AI, copilots, agents, tools, models, vendors, and MCP-connected systems.
The operating reality
AI adoption can outrun visibility, ownership, and control.
The objective is not to generate a longer list of problems. It is to identify the few actions that most improve risk, readiness, and decision quality within real staffing and budget limits.
Employees may place sensitive, regulated, proprietary, or client information into approved or unapproved AI services without clear handling rules.
AI vendors, models, plugins, retrieval sources, and downstream subprocessors create dependencies that traditional vendor reviews may not fully examine.
Prompt injection, unsafe output handling, excessive agency, and over-privileged tools can turn untrusted content into harmful actions or data exposure.
Agents and MCP-connected systems can combine autonomy, credentials, tools, and business data without sufficiently defined permission boundaries or human approval points.
Ownership is often fragmented across security, privacy, legal, data, technology, procurement, and business teams—leaving important decisions unassigned.
Organizations need enough governance to make AI use defensible without creating a process so heavy that employees route around it.
Concrete deliverables
A usable AI security and governance baseline.
Every output is designed to support action by technical teams, executives, boards, councils, or other accountable stakeholders.
AI acceptable-use, approval, exception, and oversight recommendations
Sensitive-data exposure and information-handling control review
Vendor, model, application, agent, tool, and integration risk baseline
Human-approval, permission, logging, monitoring, and incident-readiness recommendations
Prioritized 30/60/90-day roadmap and leadership briefing
Designed outcome
Enable useful AI with explicit guardrails and accountability.
The review can draw from NIST AI RMF 1.0, NIST AI 600-1's Generative AI Profile, the OWASP Top 10 for LLM and GenAI Applications 2025, the OWASP Top 10 for Agentic Applications 2026, MITRE ATLAS, and the organization's existing cybersecurity, privacy, legal, and procurement requirements. These references inform the work; they are not certifications or guarantees.
- A shared view of approved, tolerated, restricted, and prohibited AI use
- Clear ownership and decision rights across security, privacy, legal, technology, procurement, and business teams
- Better protection of sensitive information across prompts, retrieval, outputs, logs, and connected tools
- Risk-based review of AI vendors, applications, agents, and integrations before deployment
- Defined human-oversight points and permission boundaries for systems that can take action
- A prioritized roadmap that supports adoption instead of relying on a blanket ban
Start a conversation
Get a clear next step—not a generic sales pitch.
Share the challenge you are trying to solve. Prometheus will help determine whether a fixed-scope review, targeted implementation support, or recurring advisory is the right starting point.
What to expect
- A confidential, senior-led initial conversation
- A fit assessment before any scope is proposed
- Clear deliverables, timeline, and responsibilities
- No managed-services lock-in or tool-resale pressure
Request a readiness review
Tell us what you need.
Please provide business context only. Do not submit credentials, regulated records, exploit details, or sensitive evidence.