AI Security for the Channel

Put AI to work —
with controls you can prove.

Your clients are connecting assistants and agents to email, CRM and production data faster than they decide who is accountable for them. We give MSPs, MSSPs and VARs the engineering capacity to govern, secure and operate AI — delivered under your brand.

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Where AI risk actually starts

  • 01

    Capabilities grow faster than approvals

    A writing assistant gains email, then pricing, then the ability to commit. Nobody approved the change in responsibility.

  • 02

    Agents borrow more authority than the task needs

    An agent running on a manager's credentials can do everything the manager can — before the model makes any mistake.

  • 03

    A green dashboard is not evidence

    A clean scan or a blocked request says little about what else ran. Containment has to be shown, not assumed.

Seven practices, one engagement

Each practice is a scoped piece of work your team can sell on its own or as a roadmap. The articles behind them explain the reasoning in full.

Workforce AI Use & Shadow AI

Visibility and control over the AI tools employees already use: which apps are approved, and which data must never reach a prompt.

  • Discovery of the AI apps and assistants in use
  • Acceptable-use policy per app and user group
  • Sensitive-data controls on prompts and uploads
  • Check Point Workforce AI Security delivery

Governance & Accountability

Approved purpose, owners with real authority, and change control that triggers when a tool or model is added.

  • Deployment record per AI workflow
  • Owners for business, technical, security and operations
  • Change control tied to new tools, data or models
  • Alignment with the NIST AI RMF
Read the article →

Agent Identity & Access

A distinct identity for every agent, permissions sized to its workflow, and revocation you have actually tested.

  • Managed agent identities and delegation
  • Least-privilege tool and resource scopes
  • Short-lived, vaulted credentials
  • MCP authorization without token passthrough
Read the article →

AI Supply Chain & MCP Servers

Provenance, pinned versions and evidence for every tool, MCP server, model and retrieval source you admit.

  • Admission reviews for tools and MCP servers
  • Isolated assessment with synthetic data
  • Approved catalog with owners and rollback
  • Reassessment triggers on every change
Read the article →

Runtime Protection

Layered controls so untrusted content cannot acquire operational authority, and approvals bound to concrete actions.

  • Prompt-injection and data-loss inspection
  • Validation before every tool call
  • Human approval that shows the real action
  • Coverage mapped to every data path
Read the article →

AI Security Operations

Audit evidence that links decisions to outcomes, runbooks that contain, and tests that prove the controls held.

  • Correlated event records per agent action
  • Containment and recovery runbooks
  • Repeatable misuse and legitimate-use test sets
  • Monthly review that ends in decisions
Read the article →

Identity Foundation (Human → NHI)

Mature human and privileged identity first, so service accounts and agents inherit clean ownership.

  • Joiner/mover/leaver automation and certifications
  • PAM with rotation, session recording and JIT
  • Service account and secret lifecycle
  • CyberArk, Delinea and SailPoint delivery
Read the article →

How an engagement runs

  1. STEP 01

    Pick one workflow

    Start with a single consequential AI workflow: map its decisions, data and actions.

  2. STEP 02

    Design the controls

    Owners, identities, permissions, admission rules and runtime checks sized to that workflow.

  3. STEP 03

    Implement under your brand

    Our engineers build it inside your delivery model; your client sees only you.

  4. STEP 04

    Operate and prove

    Evidence, tests and a monthly review that decide whether the scope grows.

Platforms we work with

  • Cisco AI Defense
  • Cisco Duo
  • Cisco Secure Access
  • Check Point Workforce AI Security
  • Check Point AI Agent Security
  • CyberArk
  • Delinea
  • SailPoint
  • Microsoft Entra ID

Vendor capabilities change quickly; we verify current availability and licensing before every engagement.

Frameworks we align to

  • NIST AI RMF
  • OWASP Top 10 for LLM Applications
  • OWASP Top 10 for Agentic Applications
  • NIST SP 800-61 Rev. 3
  • MCP security best practices

Bring us one AI workflow your client wants to expand.

We will map with you who is accountable, what the agent can really do, and which controls would let you say yes with evidence.

Talk to Us About AI Security