ADAPT provides an on‑premise network security appliance that detects threats by analyzing traffic behavior—timing, packet size, entropy, and handshake patterns—without inspecting payload content. It combines deterministic, constant‑time routing with a parallel behavioral analysis plane, automatically rerouting malicious flows in milliseconds while keeping all data inside the box and sending alerts to existing SIEMs. The system continuously calibrates to each site’s normal traffic using privacy‑preserving federated statistics.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises need to detect and mitigate network threats in real time without introducing latency, inspecting packet payloads, or exposing metadata to external systems. Traditional deep packet inspection solutions add jitter and require agents or data egress, which is unsuitable for latency-sensitive environments.
Solution
ADAPT delivers an on‑premise network appliance that separates routing and detection into two independent planes. The routing plane performs deterministic O(1) lookups, guaranteeing constant‑time, jitter‑free forwarding. In parallel, a detection plane conducts deep behavioral analysis on connection‑level metadata (timing, size, entropy) without ever seeing payload content. When anomalous behavior is identified, the appliance autonomously reroutes the affected flow within milliseconds and forwards high‑fidelity alerts to existing SIEMs. The system continuously learns normal traffic patterns locally and refines detection thresholds through privacy‑preserving federated calibration across the appliance fleet.
Target Audience
Primary customers are organizations with latency‑sensitive networks—such as high‑frequency trading firms, data centers, and enterprise backbones—that require real‑time threat detection without compromising performance.
Features
- Split‑brain architecture with a latency‑critical routing plane and an off‑loop detection plane
- Constant‑time O(1) routing lookup compiled offline for zero‑jitter packet forwarding
- Content‑blind behavioral analysis using timing, packet size, entropy, and handshake patterns
- Autonomous millisecond‑scale rerouting of malicious flows without operator intervention
- High‑fidelity, SIEM‑compatible alerts generated on detected threats
- On‑premise operation with no data egress; metadata never leaves the appliance
- Federated, privacy‑protected calibration that adapts detection models to each network environment