Modern AI agents browse the web, run code, send emails, query databases, and call APIs — all on your behalf. Traditional firewalls and security tools were designed for humans clicking buttons. They see AI traffic as completely normal. They can't tell the difference between a legitimate request and an attack.

Prompt injection, data exfiltration, and AI manipulation attacks are documented and growing. The average cost of a data breach is $4.45 million — and AI introduces attack vectors that no existing tool was designed to catch.

The AI — with no protection — complies. The company doesn't find out for weeks.

A 9-layer inline security pipeline that sits between your applications and the AI. Every request going in, every response coming out — inspected, validated, and audited in under 20 milliseconds. If something looks wrong, it is stopped immediately. No exceptions. 100% MITRE ATLAS pipeline coverage (55/55 applicable techniques).

Before any inspection happens, AI-Sentinel wraps every interaction in a complete observability envelope. Caller identity, timestamp, request size, direction, session context — all recorded before the request moves an inch further.

Prompt injection is the #1 AI attack vector today. Malicious instructions are buried inside documents, emails, web pages, or customer inputs — and the AI follows them without question. L1 scans every incoming payload for injection patterns and strips sensitive personal data before it ever reaches the model.

API keys get leaked. Developers commit them to GitHub by mistake. An attacker who finds one can impersonate your AI systems indefinitely — unless every request carries a cryptographic proof of identity that expires in 60 seconds. L2 enforces JWT authentication, SHA-256 signed trust chains, and instant replay attack detection.

The most sophisticated attacks don't happen in one message. They happen over dozens — slowly steering the AI away from its intended purpose. This is called a "salami-slicing" attack. L3 builds a behavioral baseline for every session and detects when the conversation starts drifting away from it.

AI agents don't just generate text — they call tools. File systems, APIs, cloud services, databases. A misconfigured agent, a compromised prompt, or a rogue model can call any tool it has access to. L4 enforces role-based access control (RBAC) on every tool call — only whitelisted operations for each agent role are allowed.

Infinite loops, misconfigured automations, and compromised agents can make thousands of API calls per minute. At $0.01–$0.10 per call, this becomes catastrophic fast. L5 enforces token budgets, rate limits, and hard cost ceilings. And when something truly goes wrong — one click activates the Emergency Stop, halting all AI traffic instantly.

AI models are trained to be helpful. If they find sensitive information in your documents — database passwords, AWS keys, personal data, internal server addresses — they may include it in their response without any malicious intent. L6 scans every outbound response before it leaves the system.

Compliance, legal discovery, and security forensics all demand one thing: a reliable record of what happened and when. L7 writes every decision to a SHA-256 hash-chained audit log — every record cryptographically linked to the previous one. Tamper with a single record and the entire chain breaks, immediately detectable.

Every AI request passes through all 9 layers in sequence. The first layer that detects a problem stops the request immediately — the rest of the layers never even see it. This fail-fast design means the most dangerous attacks are caught in milliseconds, with minimal overhead. 100% MITRE ATLAS pipeline coverage (55/55 applicable techniques).

AI-Sentinel is deployed and live on Transnet infrastructure, protecting real AI workloads. It has passed a comprehensive verification suite covering every attack category — from prompt injection to replay attacks to data exfiltration — with zero failures. 100% MITRE ATLAS pipeline coverage across all 55 applicable techniques.

The enterprise AI security market is growing faster than any analyst predicted. Every Fortune 500 deploying AI agents, every law firm using AI for discovery, every hospital using AI for patient intake — they are all exposed. And regulations are catching up fast.

Most "AI security" tools work asynchronously — they analyze logs after the fact. By the time they detect a breach, the damage is done. AI-Sentinel is inline: it intercepts every request in real-time, before the AI model ever sees it. This is the only architecture that actually stops attacks.

The attacks are real. The gap is real. The market is real. AI-Sentinel is the security layer that every AI deployment needs — and almost none have. We are live, tested, and ready to deploy.