TrustGate proves a device today. The Behavior Trust Layer proves it every moment after.
Labeled Android malware spanning a decade, with a matched goodware allowlist — retraining our deterministic rules and deep-learning risk models on every scan.
A decade of offensive security through our founder’s firm, Seclabs & Systems Pvt. Ltd. — cyber intelligence delivered to national defense, intelligence and law-enforcement agencies — feeds directly into the behavioral models the trust layer runs on.
The Hacker News · News18 · The Quint · Interview I · Interview II — third-party, unedited. See press ↓
Multi-timescale telemetry distilled through seven layers of intelligence — from signal collection to policy-gated response — into one living, explainable trust score St ∈ [0,1] for every entity in the fleet.
Defense & Intelligence Agencies · NTRO, India · Harman International · Siemens Electronics · SUD Life Insurance · A Prominent Gaming Platform · A Major Airline · Bank of Tanzania See clients ↓
Every unmanaged phone that crosses your threshold is a door your firewall never sees. TrustGate closes it — proprietary deep-learning models over a 35 TB Android corpus detect the compromise and prescribe the fix, in minutes.
Lobby & reception check-in for enterprises — every visitor and BYOD device verified before the elevator. A compact home kiosk brings the same proof to families and VIP residences.
Cable-free assessment over local Wi-Fi — a guest’s or employee’s personal phone verified in minutes. No cables, nothing installed, the device never leaves their sight.
Standing verification for corporate fleets — and scheduled proof for individuals between visits — with network-evidence capture that surfaces beaconing over time.
Android verdicts, family labels, signer reputation and TLSH similarity — the intelligence behind TrustGate, as a service for SOCs, MDMs and vendors.
Fake-app monitoring and takedown for banks, NBFCs and fintechs under APK-scam siege — we see repacked clones before your customers do.
YARA/TLSH retro-hunting across 35 TB of historical Android APKs — for researchers and threat teams chasing a decade of samples.
Labeled, time-stratified training corpus and pre-trained detectors for AV/EDR and AI-security vendors — with a matched goodware set.
For governments, enterprises and BFSI: one living, explainable trust score per device, identity and session — because modern incidents unfold over months, and your audit committee wants receipts.
Every product below runs on the same corpus and intelligence core — engineered to beat incumbents on depth, and priced to beat them on access.
Know, in minutes, whether a phone is compromised — with evidence that stands up to scrutiny.
One living trust score for every device, identity and session in your fleet — replacing a stack of point tools.
Identity confirmed every moment, not just at login — trust decays the instant behavior diverges, triggering step-up before damage is done.
Endpoint detection that knows your fleet’s normal — surfacing living-off-the-land and insider activity static rules miss entirely.
Every flow weighted by behavioral trust — genuine deviations prioritized, background noise buried where it belongs.
Behavioral anomaly detection for humans, machine identities and autonomous AI agents — calibrated, tunable, explainable.
35 TB of Android APKs, 1.5M+ labeled malware samples across a decade, a matched goodware allowlist — and it deepens with every scan.
Deterministic rules beside deep neural models — drift-aware retraining, adversarially hardened, and explainable by construction, not as an afterthought.
Not discrete events but gradual trust decay — measured continuously, caught over months, and anchored in evidence a compromised device cannot fake.
Xaion's research isn't theoretical. It's grounded in real adversary operations run through our founder's offensive-security firm, Seclabs & Systems Pvt. Ltd. — work delivered for national defense and intelligence agencies, law enforcement, and global enterprises.
Trusted by national agencies for cyber intelligence & offensive operations
Digital investigations, network analysis & threat attribution
Aviation, finance, FMCG & manufacturing security programs
Real attacker tradecraft, fed back into Xaion's research
Our founder Shesh Sarangdhar's cyber-intelligence work has been covered by national and global media — from cyber-terror attribution to large-scale social-media analysis. The interviews and reports below are public, third-party, and unedited.
The score is the surface. Beneath it sits a seven-layer behavioral pipeline, a formal trust state machine, and 100 TB of ground truth distilled into hybrid detectors — documented, argued, and open to scrutiny.
From raw signal collection to policy-gated response — every decision traceable.
Six states, asymmetric transitions — modelled, not assumed.
Acquire → curate → represent → learn → serve — a closed learning loop.
Behavioural trust modelling and the Ontology v1 specification.
Compromise assessments, design partnerships for the Behavior Trust Layer, corpus and API licensing, or an investor briefing — tell us which, and we'll come prepared.