HYDRA NDR – Zero-day Network Threat Detection

What it detects

Six threat classes, one engine

Each class is scored in parallel by a specialised FourierKAN head — including never-before-seen variants that signature-based tools miss.

C2 beaconing

Spots command-and-control callbacks by their timing and frequency signatures, even when the destination is brand new.

Fast-flux evasion

Catches rapidly rotating infrastructure used to keep malicious services online and hidden.

DGA malware

Flags algorithmically generated domains the moment they appear — no blocklist required.

DNS tunneling

Detects data exfiltration and covert channels smuggled inside ordinary-looking DNS traffic.

IDN homograph attacks

Identifies look-alike domains crafted to impersonate trusted brands and deceive users.

DNS spoofing

Surfaces manipulation of resolution responses used to redirect or intercept traffic.

How it works

Passive in. Interpretable verdict out.

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Network traffic mirroredFlows and resolver queries passively captured — agentless, zero performance impact.

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6-head FourierKAN analysisEach head runs in parallel — beacon, fast-flux, DGA, tunnel, homograph, spoofing.

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Threat classifiedEach detection arrives with an interpretable, auditable explanation.<5 min MTTD

Why FourierKAN

Every decision is mathematically auditable

HYDRA is built on Kolmogorov-Arnold Networks, not opaque deep nets. Frequency-domain KAN activations make each detection explainable rather than a black-box score.

Glass-box, not black-box — every alert traces back to the signal that triggered it.
DORA-ready — interpretable output supports incident reporting obligations.
EU AI Act aligned — auditable AI decisioning for regulated environments.

Deployment

Edge-native. Zero cloud dependency.

Deploys as a containerised sidecar directly on Juniper SRX / MX / EX, or on a co-located appliance via SPAN tap — drop-in for existing SOC and SIEM workflows.

ZeekJ-FlowIPFIX dnstapJuniper Security Director Cloud

Zero-day network threat detection — at the edge