Embergard watches your back. On-device AI detects threats, blocks attacks, and keeps your data yours. Zero cloud dependency. Built in Europe for GDPR, DORA, NIS2, and the AI Act.
Embergard runs entirely on your device. No data leaves. No cloud needed. Three layers of protection that work together.
Embergard monitors your device in real-time — incoming messages, links, app behavior, network traffic. All on-device, all private.
Local AI classifies threats: phishing, social engineering, prompt injection, data harvesting, exploit chains. Pattern matching + behavioral analysis, no cloud call.
You decide the response: warn, block, quarantine, or lockdown. Hunter Protocol escalates automatically. You're always in control.
Tap any threat category to see it in action. All detected on your device — no cloud, no upload.
Detects fake emails, SMS, and URLs impersonating banks, delivery services, and government agencies.
Embergard detects phishing attempts by analyzing URL ownership, certificate age, sender verification, and social engineering patterns — all on-device. Here an ING Bank phishing SMS is caught and blocked before you even open the link.
Identifies manipulation tactics — urgency scams, authority impersonation, emotional coercion.
Embergard analyzes message tone, urgency signals, and sender identity to catch social engineering — including authority impersonation like fake Dutch Belastingdienst (tax authority) scams that have targeted 14,000+ people in the Netherlands.
Blocks adversarial prompts hidden in images, documents, and links that try to manipulate your AI assistant.
Ghostcommit defense: Embergard scans images, documents, and files for steganographic prompt injections — malicious instructions hidden inside PNG/JPEG metadata or pixel patterns that could hijack your AI assistant.
Detects multi-step attack sequences: initial access → credential harvest → lateral movement.
Embergard doesn't just block individual threats — it recognizes coordinated multi-step attack chains. When initial access, credential harvesting, and command-and-control beacons appear together, Hunter Protocol breaks the chain.
Flags apps with known data-harvesting SDKs, excessive permissions, or behavioral anomalies.
Your data is not their product. Embergard scans installed apps for known data-harvesting SDKs, unnecessary permissions, and behavioral anomalies — catching apps that look legit but secretly harvest your data.
Prompt injection and agent impersonation detection — analyzed on-device with pattern matching and heuristics.
AI threats are evolving faster than traditional security. Embergard detects prompt injection and agent impersonation on-device using pattern matching and behavioral heuristics — without exposing your data to an AI in the cloud. Deepfake voice and video detection is on our roadmap.
Identifies and profiles unknown AI agents interacting with your device.
AI agents are everywhere — some legitimate, some spoofed. Embergard fingerprints every agent that interacts with your device, verifying identity through behavioral signatures and token analysis. Siri is verified ✓; a spoofed "Google Assistant" requesting camera access is blocked ✕.
Graduated defense: Amber → Red → Black. You control the escalation. Your device, your rules.
When threats escalate, Hunter Protocol escalates with them. Amber monitors, Red locks down, and if needed, Black isolates completely. This is Embergard's Life Principle: your safety is non-negotiable, and the system will protect you even when you can't respond.
AES-256-GCM today. Ed25519/X25519 elliptic curve. Post-quantum upgrade path planned.
Today's encryption won't survive tomorrow's quantum computers. Embergard uses AES-256-GCM for data at rest and Ed25519/X25519 elliptic curve for key exchange and signing — modern, battle-tested cryptography with forward secrecy. A post-quantum upgrade path (ML-KEM/Kyber) is planned for v2, protecting your data against both current and future quantum attacks, with European data residency.
Interactive demos for each feature. No signup. No download. Just proof.
See how Embergard scores app risk — SDK trackers, excessive permissions, behavioral anomalies, and safe alternatives.
Prompt injection, agent spoofing — detected on-device with pattern matching and heuristics, without the paradox of sending data to an AI cloud.
See where your apps send your data. A world map of data flows — and how Embergard blocks the ones that shouldn't exist.
We don't add privacy — we build on it. Every decision starts with: "Can we do this without your data?"
All detection runs locally — pattern matching, behavioral heuristics, signature-based scanning. Your messages, your data, your life — never sent to a cloud we control.
Personally identifiable information is stripped before any processing. Your identity is removed by architecture, not by policy.
No analytics. No advertising. No data brokerage. This is not the business model and it never will be.
You review every data point before it's used. Per-pair review for any contribution. You are always in control.
24 hardcoded, non-negotiable security redlines. Published. Auditable. No backdoors. No overrides.
Optional cloud features use European-hosted infrastructure. No US CLOUD Act exposure. No Patriot Act reach.
GDPR isn't a checkbox. DORA isn't optional. NIS2 isn't a suggestion. This is the architecture.
Walk through real threat scenarios — phishing SMS, malicious links, exploit chains, data-harvesting apps, and Hunter Protocol lockdown. All simulated. All on-device.
Join the waitlist for early access. No spam. No data sharing. Just a notification when we're ready.
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