Why Patronus?
Patronus combines endpoint-level observability, local-first protection, and a practical route from monitoring to stronger controls as AI usage spreads across the organization.
See AI activity as it happens
Patronus monitors prompts, responses, and model traffic directly on the endpoint. This gives teams visibility into how AI tools, browser extensions, local models, and provider APIs are actually used in day-to-day workflows.
Control what AI is allowed to access
Patronus helps enforce guardrails around sensitive data, risky prompts, and unauthorized usage. With local policy enforcement, teams can define what AIs are allowed and what tools, agents, and models are permitted to send, access, or execute.
Reduce AI risk before it becomes exposure
Patronus reduces the risk of data leakage, prompt injection, and uncontrolled AI behavior without adding another cloud dependency. Protection happens where the interaction starts: on the device.
cross-provider protection
Gemini
Copilot
Ollama
Claude
OpenAI
Mistral
The Rest...
How Patronus works ?
Patronus starts with the foundation most teams are missing today: visibility. From there, protection, policy, and governance become much easier to implement with confidence.
On-Device AI Firewall
Instead of relying on multiple tools, integrations, or extensions, Patronus is designed as an AI firewall operating in the network path on the endpoint.
Our novel detection mechanism identifies AI traffic in one-digit milliseconds and allows us to detect AI interaction across apps, browsers, and providers.
On-Device Protection
Nobody likes another cloud dependency, especially when dealing with sensitive data, which is common in AI systems.
Cloud compute enables fast detection, but comes at the cost of privacy and doesn’t always deliver the best performance.
At Patronus, we design and build our own AI systems to run directly on-device, in real time.
Our methods achieve state-of-the-art performance, competing with LLM-based solutions at a fraction of the cost.
01 / AI DETECTION
Provider-agnostic network intelligence that detects AI traffic in real time, before encryption hides the signal.
Explore AI Detection
LIVE DETECTION TRACE
Connection
AI Classification
Detection Result / Provider agnostic
04 / AI ACT READINESS
23 questions derived from the original text of Regulation (EU) 2024/1689, focused on the technical and organizational obligations applicable to deployers. The output is a personalized PDF report with sub-scores per dimension and prioritized findings.
Start the AI Act assessment
READINESS SNAPSHOT
Risk posture / controls / evidence
AI inventory / READY
Evidence trail / EXPORT
For who is Patronus ?
Patronus protects AI interactions at the endpoint. The value looks different depending on whether you own security, build with models every day, roll AI out across a company, or use AI privately.
02 / AI MODELS
Detect prompt injection, data exposure, and agent abuse before threats reach the model — locally and in real time.
Explore AI Models
PURPOSE-BUILT DETECTION LAYERS
Prompt injection / BLOCK
Data exposure / AUDIT
Agent abuse / DETECTED
Our pillars of AI security
Observability
Any protection starts with observability.
We see what you don’t.
Zero-Trust
AI operates across apps, tools, and hidden layers.
We trust no interaction by default.
Protection
Real security goes beyond detection.
Stopping threats requires real-time enforcement.
We keep the human-in-the-loop.
Privacy-by-Design
Built offline-first to protect your data.
We keep your data on your device*.
*Only minimal, compliance-ready metadata ever leaves your device on your demand.
03 / SECURITY LIBRARY
Patronus Ark brings prompt injection, DLP, PII, and agentic tool protection into one open-source local security gateway.
Explore Security Library
PATRONUS-ARK / SECURITY GATEWAY
SecurityGateway(categories=[injection, dlp, pii])
ALLOW / local policy
AUDIT / structured event
PRODUCT ROADMAP
01 Monitoring
Done · Q2 2026
02 Protection
In development · Q3 2026
03 Integration
Planned · Q4 2026
PHASE 01 / LIVE NOW
Monitoring
Initial core release with foundational monitoring and assessment capabilities.
Real-time protection available in early alpha.
Q2 2026
Done
FAQ
What is an AI Firewall?
An AI Firewall is a security layer that monitors, analyzes, and controls interactions with AI systems in real time. It sits directly on the endpoint (your device) and inspects AI-related traffic—such as prompts, responses, and tool usage—before data leaves the device. Similar to how antivirus software protects against malware, an AI Firewall protects against risks like prompt injection, sensitive data leakage, and unauthorized AI usage.
Do you depend on the cloud?
How can this run in real time on the endpoint?
Do you collect my data?
Why should I protect local LLMs?
