— SECURE THE MODELS YOU SHIP
AI security. From prompt to deployment.
Detection for AI workloads, governance for shadow AI, defense for the models you ship.
AI changes the attack surface in two directions: attackers use AI to scale, and your own AI workloads become targets. We operate AI Detection & Response (AIDR), shadow-AI discovery, and prompt-injection defense — so the models your business ships are governed, monitored, and contained.
WHAT THIS CATEGORY COVERS
AI security. Three fronts. One operator.
AIDR
Runtime detection for malicious AI activity — prompt injection, model abuse, data exfiltration via LLM.
Shadow AI discovery
Unsanctioned LLM and AI tool usage surfaced via SaaS and network signals.
Model protection
Inference-time defenses for production LLM apps — guardrails, output validation, abuse rate-limiting.
OUR APPROACH
How we operate AI security.
Hardened by Charlotte AI
Our SOC uses Charlotte AI in production — we know exactly where AI helps and where humans must own.
Policy at the gateway
Allow/deny rules enforced at the LLM gateway — coached at the user layer.
Signals into MCSS
AI-related events fused with identity and SaaS telemetry — same SOC, same portal.
VENDORS WE DELIVER
Best-of-breed. Operated by us.
CrowdStrike Falcon AIDR →
AI Detection & Response on the Falcon platform — covers AI agents, LLM apps, and model usage.
Charlotte AI →
Operator-facing AI assistant for the SOC — enrichment, hunting, response acceleration.
Netskope →
SSE/CASB platform — discovers and governs shadow AI and GenAI app usage, with inline DLP on prompts and uploads.
Prompt Security →
Inference-time defenses for production LLM applications — guardrails, output validation, abuse controls.
WHY QMASTERS OPERATES THIS
Operators. Not resellers.
We operate AI ourselves
Charlotte AI is in our SOC's daily workflow — we know where it helps and where to draw the line.
Production-grade governance
Model registries, allowed-use policies, and audit trails — not theoretical frameworks.
AI-fluent escalations
Prompt-injection and AI abuse events triaged with the same Tier 2+ rigor as identity attacks.
FAQ
Questions. Answered straight.
AI Detection & Response — runtime monitoring of AI agents, LLM apps, and model usage to catch prompt injection, model abuse, and AI-mediated data exfiltration.
Yes. Most AI risk is in shadow usage, OAuth-connected agents, and prompt-injection through your own apps — none of which the API vendor monitors for you.
Visit our homepage, dig into managed cyber security services, or check out cyber security news next.
READY WHEN YOU ARE
Ready for Real Detection & Response?
Book a 30-minute working session with a SOC engineer. Bring your alerts.