ISOFORT runs as a single layer between your application and your transaction rails. Modular by design, so you start with what you need and scale into the rest. Every module shares the same scoring engine, the same audit log, the same explainability, and the same agentic AI that investigates alongside your team.
Every module draws on the same foundation. Intelligence flows up from every chain and data source, into an explainable scoring engine, into autonomous agents that work the case, with your team in control at the top.
Every major chain, read directly and normalized into one feed: balances, transfers, DeFi positions, plus the sanctions, threat, and identity signals that give each address context. Vendor-neutral, so no single source is a blind spot.
Hard-veto, then capped per-source layers, then an ML modifier, then Identity Hub context, with taint inherited across chains. Every point of the score traces back to the source that produced it. No black box.
Autonomous agents triage alerts, investigate end to end across on-chain and off-chain signals, and draft the regulatory filing with citations. Every file / freeze / block passes through a human-in-the-loop gate.
The core engine. Every payment, transfer, and authorization gets scored against learned baselines as it happens. Cross-chain and off-chain transactions go through the same pipeline. The decision comes back with the full signal trail your audit team can defend.
Fake IDs are no longer hand-made. They're generated, blended, and tested at scale. We catch them at signup, before they touch your card issuer, your KYC partner, your customer support. Liveness, document forensics, and behavioral signals combined into a single score.
A stolen credential is the cheapest fraud vector in 2026. We watch the session itself, not just the login. Typing cadence, device posture, navigation path, network telemetry. The intruder behaves differently than the rightful owner, and we score that difference in real time.
Bots used to be scripts. Now they're autonomous agents with goals, memory, and the ability to adapt mid-session. Telling them apart from human users is no longer optional, especially as agentic commerce scales. We classify every session as human, bot, or autonomous agent, with confidence.
A single fraudulent transaction is hard to catch. A coordinated ring is easier to see. We build a graph of relationships between accounts, devices, IPs, payment methods, and counterparties. When the same device fingerprint opens fifty accounts across three days, you see it before they drain anything.
Score any wallet, then follow the money. Vector traces where funds came from and where they're going, propagates taint upstream and downstream, and tags every counterparty by exchange, VASP, mixer, or sanctions exposure. One investigation surface across every chain you touch, with a scoring trail your compliance team can defend line by line.
The best fraud response is the payment that never leaves. Address-poisoning and look-alike drainer attacks seed a victim's history with a wallet that mimics a trusted counterparty, matching its first and last characters, so the next copy-paste sends funds to the attacker. Our verify-recipient API checks the destination against the payer's real transaction history in real time and returns allow, warn, or block before the transaction is ever signed.
ISOFORT doesn't just score events, it works them. Autonomous AI agents triage alerts, investigate cases end to end across on-chain and off-chain signals, and draft the regulatory filing with citations back to the evidence. Every action that touches a regulated decision (file, freeze, block) passes through a human-in-the-loop gate, so your team stays in control and the audit trail stays clean.
SDKs for every major platform, REST and gRPC APIs, real-time webhooks, native connectors for payment rails and chains.
30 minutes, no slides. We bring your real attack vectors and walk through the response.