AI-enabled malware analysis & threat attribution

Automated Threat Triage. Zero-Latency Execution.

AETHER carves suspicious files out of your network traffic, analyses them in memory, maps them to MITRE ATT&CK with a local model, and links them to known threat groups. Out-of-band capture adds zero latency to your network, and every verdict explains itself.

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Static analysis only: samples are never executed.

Measured, not promised

Accuracy you can audit

PE malware detected at a 1% false-positive rate: 95.9%; EMBER benchmark, 200,000 held-out files, AUC 0.996¹
False positives on clean software: 0.07%; 1 of 1,518 held-out benign files²
In-memory sample analysis: 100%; Samples are never written to disk by the analysis pipeline³
ATT&CK techniques in the threat graph: 656; MITRE ATT&CK v16.1, 14 tactics, 160 threat groups⁴

Why AETHER

Alert fatigue is a solvable problem. Black boxes are not the answer.

The SOC today

Thousands of alerts a day, most of them noise, triaged by hand
Black-box verdicts nobody can explain to an auditor or a customer
A backlog of samples waiting for scarce reverse-engineering time
Samples and telemetry shipped to someone else’s cloud

With AETHER

Every verdict lists the signals behind it; SHAP/LIME attributions in Deep mode
A fine-tuned local model maps behaviour to ATT&CK with cited evidence
Automated triage from sensor to threat graph, with live analyst alerts
Runs on your infrastructure; nothing leaves without your consent

The pipeline

From packet to threat actor, in four stages

Similarity search against known malware families is tuned for under 5% false positives (design target). The verdict itself comes from the static engine and classifiers measured above.

Step 01

Network capture

Out-of-band on a SPAN/TAP port, from PCAP replay, or inline as a reverse-proxy shield.

Carves files from HTTP, FTP, SMTP and SMB traffic
Out-of-band mode cannot delay, drop or block a packet
Enrolled sensors sign every delivery (HMAC, replay-protected)

Enterprise protection

Built for the threats that slip past signatures

Fileless and in-memory techniques

Flags process-injection APIs, memfd_create execution and reflective code loading (T1620) from a sample’s static features.

Obfuscated scripts

PowerShell encoded commands, hidden execution and download cradles; JavaScript eval/unescape chains; VBA macros; long base64 payloads.

Steganographic payloads

Data appended after an image ends, embedded executables and polyglot files; LSB bit-plane recovery with CLIP scoring.

Known threat actors

Maps findings to ATT&CK techniques and to threat groups such as APT29 and FIN7, using OSINT evidence and the ATT&CK graph.

Threat graph: MITRE ATT&CK v16.1, 14 tactics, 656 techniques and 160 threat groups. Signature layer: 5,158 YARA rules.

Put AETHER on your network this week

Cloud tenants are provisioned automatically as soon as your payment clears. On-premises licences cover the platform and its network sensors on your own infrastructure.

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1. Gradient-boosted PE classifier (LightGBM on EMBER features), evaluated on the held-out EMBER test split.
2. The full five-layer static engine on 1,518 benign Windows system and program files not used in tuning.
3. Uploads and sensor deliveries are buffered in memory, queued without disk persistence and analysed in in-memory buffers that are closed after each job.
4. The MITRE ATT&CK v16.1 enterprise bundle, imported with a pinned checksum.