The Attack Surface No One Is Defending.
Until Now.
As AI models become the backbone of enterprise operations, they also become the most valuable and most vulnerable target in your clients' environments. AIVault is the only NIST-funded platform that secures AI at every layer — from model weight space to runtime behavior to agentic operations.
Vulnerability data: Cloud Security Alliance AI Safety Initiative, April 2026
AI Is Now the #1 Attack Target
The same AI powering your clients' businesses is being weaponized against them.
Model Weight Vulnerabilities
AI models carry vulnerabilities deep within their weight space — hidden attack surfaces that traditional security tools cannot see or scan. Adversarial manipulation of model weights can corrupt outputs, leak training data, and create backdoors that survive standard security reviews.
GenAI Runtime Attacks
Prompt injection, jailbreaking, sensitive data leakage through LLM outputs, and shadow AI usage expose your clients to breaches that no traditional firewall can stop. GenAI-specific threats require GenAI-specific defenses.
Agentic AI Exploits
AI agents that autonomously browse the web, write code, and execute workflows create entirely new attack vectors. RCE vulnerabilities in AI agent frameworks like Semantic Kernel (CVE-2026-25592) show that agentic AI is now a primary exploit target.
“Over 99% of AI vulnerabilities discovered by AI models remain unpatched — not because they are obscure, but because the volume overwhelms existing patch management infrastructure.”
— Cloud Security Alliance, 2026
Three Layers of AI Security
AIVault protects AI at every level — from the model weights to the runtime to the autonomous agent layer.
Weight Space Analysis & Vulnerability Patching
AIVault investigates the weight space of AI models deployed in your clients' environments — identifying hidden vulnerabilities, backdoors, and adversarial manipulations that exist below the surface of standard security scanning.
- Adversarial weight perturbations
- Model poisoning signatures
- Backdoor triggers embedded in weights
- Training data extraction vulnerabilities
- Gradient-based attack surfaces
Once identified, AIVault patches AI model vulnerabilities directly — hardening the model against exploitation without retraining from scratch. This is AI security at the deepest possible level.
NIST-Validated MethodologyGenAI Runtime Protection
Generative AI introduces an entirely new threat category that traditional security tools were never built to handle. AIVault provides real-time protection across your clients' GenAI deployments:
- Prompt injection detection and blocking
- Jailbreak attempt identification
- Sensitive data leakage prevention
- Hallucination-based attack detection
- Shadow AI discovery and governance
- Output sanitization and policy enforcement
- LLM supply chain integrity verification
AIVault monitors every interaction with GenAI systems — ensuring that innovation doesn't become a liability for your clients or your MSP practice.
Real-Time ProtectionAI Security Firewall for Agentic Systems
AI agents that operate autonomously — browsing the web, writing and executing code, managing files, and orchestrating workflows — represent the newest and most dangerous attack surface in enterprise environments. AIVault's AI Security Firewall is purpose-built for agentic AI systems:
- Real-time monitoring of agent actions and tool calls
- Policy-based constraint enforcement — agents operate only within defined boundaries
- Prompt injection blocking at the agent layer
- Lateral movement detection across agent tool chains
- RCE vulnerability protection for AI agent frameworks (Semantic Kernel, LangChain, AutoGen, and more)
- Audit trail of every autonomous AI action
- Kill-switch capabilities for rogue agents
The AI Security Firewall doesn't just monitor agentic AI — it actively constrains it, ensuring your clients' autonomous AI systems never become an attacker's entry point.
Purpose-Built AI FirewallIntroducing the AIVault AI Security Firewall
The first firewall purpose-engineered for AI models and agentic systems
Traditional firewalls protect network perimeters. The AIVault AI Security Firewall protects something entirely different — the behavioral boundaries of AI models themselves.
As AI agents gain the ability to take real-world actions (executing code, calling APIs, managing files, sending communications), the need for a purpose-built enforcement layer becomes critical.
The AIVault AI Security Firewall sits between your clients' AI systems and the tools they interact with — inspecting, filtering, and enforcing policy on every action an AI model attempts to take.
Policy Enforcement
Define exactly what AI models can and cannot do. Granular controls per model, per tool, per user.
Prompt Injection Blocking
Real-time detection and blocking of injection attacks before they reach the model.
Behavioral Monitoring
Continuous analysis of model outputs and actions against established behavioral baselines.
Real-Time Intervention
Automatic blocking of policy violations with instant alerting to your SOC team.
Complete Audit Trail
Every AI action logged, timestamped, and stored for compliance and forensics.
Framework Agnostic
Works with OpenAI, Anthropic, Google Gemini, open-source models, and all major agent frameworks.
Why MSSPs Can't Ignore AI Security
Your Clients Are Already Deploying AI
Shadow AI usage is accelerating across every client environment you manage. Without visibility and governance, your clients are exposing sensitive data, creating compliance risks, and opening attack surfaces you can't see — let alone defend.
AI Attacks Are Already Happening
RCE vulnerabilities in AI agent frameworks, prompt injection attacks on customer-facing chatbots, and model poisoning in supply chains are no longer theoretical. The Cloud Security Alliance documented thousands of AI-specific vulnerabilities in 2026 alone.
Regulators Are Watching
NIST AI RMF, EU AI Act, and emerging US federal AI security requirements are creating compliance obligations around AI deployment. MSSPs who can demonstrate AI security capabilities will win the compliance conversation — and the contract.
AIVault vs Traditional Security Tools
Traditional tools weren't built for AI. AIVault was.
| Capability | Traditional Tools | AIVault AI Security |
|---|---|---|
| Weight space vulnerability analysis | ❌ Not possible | ✅ Purpose-built |
| AI model patching | ❌ Not supported | ✅ Automated |
| Prompt injection blocking | ❌ No visibility | ✅ Real-time |
| GenAI output monitoring | ❌ Blind spot | ✅ Full coverage |
| Agentic AI containment | ❌ No capability | ✅ AI Security Firewall |
| Shadow AI discovery | ⚠️ Limited | ✅ Comprehensive |
| AI compliance reporting | ❌ Manual | ✅ Automated |
| NIST AI RMF alignment | ⚠️ Partial | ✅ NIST-funded & validated |
AIVault's AI security methodology is validated by the National Institute of Standards and Technology (NIST) — the federal agency that sets the global standard for cybersecurity and AI risk management. Our weight space analysis and AI Security Firewall capabilities are built on NIST AI Risk Management Framework (AI RMF) principles, giving MSSPs the credibility to sell AI security services with federal-grade confidence.
Ready to Add AI Security to Your MSSP Portfolio?
AIVault gives MSSPs a complete AI security offering — weight space analysis, GenAI protection, and the industry's first AI Security Firewall. NIST-funded and ready to deploy.
NIST-Funded · Weight Space Analysis · GenAI Protection · AI Security Firewall · Built for MSSPs