Products

AI-Sentinel

Your AI Has No Immune System. Build the Shield.

Deploy the only independent, vendor-neutral AI security sidecar that inspects every request and response in real time. Stop prompt injections, prevent private data exfiltration, and block runaway model costs, all with zero application code changes.

<20ms

Inline latency

9

Deterministic security layers

100%

MITRE ATLAS pipeline coverage

The AI Shift in Cyber Risk is Here

On June 22, 2026, the cybersecurity agencies of the Five Eyes nations issued a historic joint statement: “AI models capable of devastating attacks on governments and business are months away, not years.” AI doesn’t just create new threats; it compresses patch windows, automates the attack lifecycle, and moves at machine speed.

Despite this warning, a massive security gap remains:

• 43% of enterprises run AI in production today.
• Fewer than 5% have deployed any AI-specific security layer.
• Traditional WAFs, firewalls and DLPs are completely AI-blind. They see malicious natural language prompts as legitimate JSON payloads and pass them straight to your model.

The true cost of unprotected AI

$67,000 in 11 days

Stolen credentials and “LLMjacking” can inflate your API bills overnight.

The $47,316 jailbreak

Attackers bypass basic filters to manipulate autonomous agents, execute unauthorized transactions, and compromise business logic.

Zero-click data leaks

Indirect prompt injections hide in public data feeds or retrieved documents, forcing models to leak sensitive credentials and internal repositories without user interaction.

“You Cannot Jailbreak a Regex Engine.”

Most AI security tools try to defend your LLMs using another LLM (known as “LLM-as-a-judge”). But this creates a circular vulnerability: the same prompt injection techniques that can bypass GPT-4 or Claude can fool the security model trying to protect them.

AI-Sentinel is different. We secure AI using math, not more AI:

Deterministic spine

Our core pipeline is built on compiled string pattern matching, entropy analysis, and cryptographic validation. It is mathematically impossible to social-engineer or “jailbreak” our rule sets.

Rust-native performance

Built in Rust for microsecond-level overhead. Clean requests pass in under 8ms, and threats are blocked in 2–4ms. No garbage collection pauses, no Python interpreter bottlenecks.

Sovereign and independent

The recent consolidation wave locked security products inside Check Point, Cisco and Palo Alto platforms. AI-Sentinel is vendor-neutral and independent of all of them. Run it on any Linux host, in any cloud, or in fully air-gapped enclaves.

Inline, End-to-End Defense-in-Depth

While competitors use a single-layer prompt scanner, AI-Sentinel runs your traffic through nine specialized, independent enforcement filters:

Layer 0 · Input Normalizer

Strips encoding obfuscation (Base64, Unicode tag tricks, leetspeak, and zero-width characters) before downstream layers inspect the payload.

Layer 1 · Input Sanitizer

Instantly blocks 47 known prompt injection patterns, role overrides, and jailbreak signatures in under 3ms.

Layer 2 · Multi-Vector Verification

Enforces JWT and API keys, verifies agent-to-agent HMAC tokens to block replay attacks, hardens Model Context Protocol (MCP) subprocesses, and pre-screens retrieved RAG chunks before they enter the model’s context.

Layer 3 · Intent Guard

Uses Exponential Moving Average (EMA) drift tracking to monitor conversational trajectory across multiple turns, blocking “slow-burn” social engineering attacks.

Layer 4 · Tool Authorization

Enforces role-based access control (RBAC) on agent tools with a strict deny-by-default on destructive commands (like DROP TABLE or rm -rf).

Layer 5 · Sandbox & Rate Control

Sets hard daily cost caps and token-rate limiting per user and session, to eliminate surprise billing and denial of service attacks.

Layer 6 · Output Filter

Inspects model responses before they reach the user. Redacts exposed AWS keys, database connection strings and JWTs, and blocks server-side request forgery (SSRF) attempts.

Layer 7 · Audit Chain

Generates a cryptographically linked, tamper-evident SHA-256 hash-chained log for immutable compliance and auditor-ready reporting.

Layer 8 · Optimizer

Intelligent semantic caching reduces redundant model calls by 20–35%, lowering API bills while maintaining full security validation.

Compliance Built-In, Not Bolted On

Securing AI isn’t just a technical challenge. It’s a legal mandate. High-risk AI systems must meet stringent risk management, transparency, and logging requirements. AI-Sentinel is built from the ground up to automate your compliance overhead:

EU AI Act, Article 15(5)

Directly addresses and blocks all 5 mandatory cybersecurity threats (data poisoning, model poisoning, evasion, confidentiality attacks and model flaws) with tested pipeline controls.

Article 12 record-keeping

Exceeds technical requirements with an immutable, court-admissible SHA-256 tamper-evident log of all model interactions.

ISO/IEC 42001:2023 ready

Fully implements 25 of 38 Annex A control standards in code, and provides a complete 13-document AIMS compliance documentation suite.

Don’t Guess Your Security Posture. Prove It.

Security is only as good as its last validation. That’s why AI-Sentinel pairs with AI-Armory, our dedicated automated penetration testing platform:

Dual-lane testing

Armory runs adversarial campaigns through an unprotected baseline lane and the Sentinel-protected lane simultaneously.

Objective block rate

It calculates a mathematically precise, empirical block-rate report based on over 164,000 automated test vectors.

Continuous validation

Armory red-teams your live deployment every 30 days to ensure your models stay secure as novel exploits emerge.

100.0%

Active block rate

50,681+

Total adversarial probes

Zero Code Changes Required

Configure AI-Sentinel as an inline sidecar, a transparent network proxy, or via our lightweight Python SDK. Secure your stack in minutes:

# Simply swap your base URL to point to your AI-Sentinel Sidecar
from openai import OpenAI

client = OpenAI(
    base_url="https://your-sentinel-sidecar:8080/v1", # Native Proxy Mode
    api_key="your-sentinel-provisioned-key"
)

Deploy the Shield Today

For what you’re providing, you could be charging three times more.

We believe you should measure security with evidence, not promises. Get started with our frictionless Four Ps sequence:

1 · Pilot

Run AI-Sentinel in “Monitor Mode” and attack it with Armory’s full campaign library, 100% risk-free.

2 · Protect

Turn on deterministic, sub-20ms runtime protection.

3 · Prove

Receive continuous, automated 30-day block-rate compliance reports.

4 · Pays

Eliminate token waste and protect your business from six-figure breaches.

No contracts. No credit card required. Deploys in minutes.