In your network or in the cloud
We'll deploy it and demonstrate detection and neutralization on real vectors.
- sales@atlasshield.ru
Behavioral artificial intelligence learns your network's normal profile and detects attacks — including new ones with no signature yet. Processing within Russian jurisdiction, ready for critical-infrastructure (CII) requirements. Not a "black box": every trigger comes with a human-readable rationale.
Classic protection waits for a known attack pattern. Atlas Shield doesn't wait: it learns your traffic's behavior and spots a deviation the moment it appears — even if no one has seen the vector before. An autoencoder catches the anomaly by the size of the deviation, without any signature database.
The model learns the profile of normal traffic and catches subtle deviations without preset thresholds.
The autoencoder identifies previously unseen vectors by the size of the anomaly — no signatures needed.
The vector type and a rationale for "why this is an attack" — for the operator and reporting, not a black box.
Four steps, continuously, in real time.
NetFlow / sFlow / IPFIX, real-time aggregation.
→An "attack / not attack" classifier plus a windowed ensemble over behavior.
→The vector is identified along with a human-readable reason for the decision.
→FlowSpec, RTBH, in-kernel drop (XDP) and WAF — tailored to the specific vector.
The model learns the normal traffic profile of your network and catches subtle deviations without predefined thresholds. An attack shows up as a change in behavior, not as a match to a sample.
The autoencoder identifies previously unseen attacks by the magnitude of the reconstruction anomaly — with no signature database. A zero-day vector doesn't slip through unnoticed just because it isn't on a list.
The AI determines the type of attack to apply a precise countermeasure rather than "cutting off everything." Legitimate traffic is affected as little as possible.
Every trigger comes with a rationale for the operator and for reporting: why the traffic was deemed an attack and which vector was identified. No black box.
Artificial intelligence is not the only line of defense: critical actions are backed up by deterministic rules. Predictability where you need it.
Tenant isolation, a customer dashboard and billing: the operator resells protection to subscribers under its own brand. Multi-tenancy out of the box.
Not promises: trained and tested on the benchmark CIC-DDoS2019 dataset — 51M flows, 15 attack vectors.
| Approach | Signature-based protection | "Catch-all" cloud | Atlas Shield |
|---|---|---|---|
| New (zero-day) vectors | lets them through until a signature exists | crude filtering | catches them by anomaly |
| Accuracy toward legitimate traffic | medium | suffers during scrubbing | response tailored to the vector |
| Decision explainability | partial | "black box" | XAI for each |
| Where data is processed | — | often abroad | Russian jurisdiction, CII-ready |
| Delivery model | on-prem box | cloud only | cloud / appliance / hybrid |
Onboarding with no capital costs: traffic is diverted for cleaning and returned clean.
A hardware-software appliance on the customer's premises. Full control, autonomous operation, data never leaves the perimeter.
Local filtering with automatic escalation to cloud protection during high-volume attacks (cloud signaling).
A domestic stack: data processing in Russia, readiness for critical-infrastructure (CII) requirements and integration with government systems. Atlas Shield runs on the same AI core as the entire Atlas ecosystem — one intelligence across all products.
We'll deploy it and demonstrate detection and neutralization on real vectors.
Atlas Shield · a single AI core in Russia.
Resell protection to subscribers under your own brand: isolation, a customer dashboard, billing.
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Service: Atlas Shield — ИИ-защита от DDoS