All features AI Security

Govern how your clients use AI

Track AI acceptable-use policy, test client-built AI apps for prompt-injection and data-leak exposure, inventory every AI agent and its access, and measure readiness for deepfake and social-engineering attacks.

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Policyacceptable-use
TestLLM apps
InventoryAI agents
ai-security-posture Govern
AUPAcceptable-use policyPASS
LLMSApp security checksCHECK
AGNTAgent inventoryFAIL
SOCEDeepfake readinessPASS
What it does

Key capabilities

AI acceptable-use policy tracking

Track which clients have an AI acceptable-use policy, what it permits, and whether staff have acknowledged it.

LLM application security checks

Test client-built AI apps for prompt-injection, jailbreak and data-leak exposure before their customers find it.

AI agent & tool inventory

Enumerate the AI agents and tools running in a client's environment and exactly what data and systems each one can reach.

Deepfake & social-engineering readiness

Assess how exposed staff are to AI-driven voice, video and phishing impersonation — and what controls close the gap.

Your client's AI, governed

Shadow AI, brought into the light

Staff adopt AI faster than policy can keep up. SBCMSP finds the tools already in use, checks where sensitive data could leak into them, and keeps the boundary clear between your client's AI and how SBCMSP handles data itself.

Discover shadow AI

Surface the AI tools and assistants staff adopted without approval, and bring them under a written policy.

Guard the data boundary

Flag where client or customer data could flow into an AI tool that was never meant to see it.

Distinct from our own governance

This page is about your client's AI use. For how SBCMSP handles client data inside its own AI features, see AI Trust & Data Governance.

Why it matters

What AI security posture surfaces

AI adoption outpaces AI governance. These are the exposures that show up first when a client rolls out assistants, agents and homegrown AI apps without a security review.

Unapproved AI tools

Assistants and copilots adopted with no policy behind them.

Prompt-injection exposure

Client-built AI apps that hostile input can quietly steer off task.

Data-leak paths

Prompts or integrations that could send sensitive data to a model.

Over-scoped AI agents

Agents wired to far more access than their job actually requires.

Impersonation risk

Staff and approval workflows vulnerable to deepfake voice or video.

No acceptable-use policy

Clients using AI every day with nothing written down to govern it.

Part of one platform

Every client AI use, governed in one place

AI Security Posture is one piece of SBCMSP's unified loop — every client's AI tools are inventoried, their AI apps are tested, agent access is mapped, and staff readiness is measured, all reported alongside the rest of the client's posture.

  • AI acceptable-use tracking
  • LLM application security checks
  • AI agent & tool inventory
  • Deepfake & social-engineering readiness
See the full platform
AI
Surfaced
shadow AI per client

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