Detect, classify,
and govern AI agents
Real-time agent classification, behavioral fingerprinting, and governance controls — built for platforms where AI agents interact with production systems.
across iGaming, crypto, and fintech
- Multi-acc ring #B-341Blocked
- Arb pattern usr_9281Flagged
- Deposit €250 usr_482Clean
Six detection layers.
Zero blind spots.
Each module targets a specific attack vector. Together they form a unified intelligence mesh.
Multi-Account Graph
Identity clustering across devices, IPs, payment fingerprints, and behavioral signals. Detects linked accounts even through proxy rotation.
Real-Time Risk Scoring
Sub-30ms ML pipeline evaluates 200+ signals per transaction. Inline risk score without adding latency to your transaction flow.
Bot & Automation Defense
Session telemetry, mouse dynamics, and keystroke timing separate humans from headless browsers.
Bonus Abuse Shield
Tracks sign-up velocity, wagering patterns, and withdrawal timing to intercept bonus hunters.
Geo & Device Forensics
IP geolocation, timezone entropy, language headers, and hardware fingerprinting expose spoofing.
Adaptive Rules Engine
Visual rule builder on top of ML scores. Deploy custom detection logic with no code needed.
From raw event to
decision in 23ms
Every API call passes through four stages. The pipeline learns continuously from your platform's unique patterns.
Ingest
REST API or SDK streams events with 200+ raw signals captured per transaction.
Enrich
Cross-reference device graph, IP reputation, and historical velocity patterns.
Analyze
ML ensemble + custom rules. Confidence scoring and reason codes generated.
Act
Block, flag, or allow. Webhook + full audit trail with decision reasoning.
Built for high-risk
industries
Purpose-built detection models for the fraud patterns unique to each vertical.
Stop coordinated abuse before it scales
Detect multi-accounting, bonus exploitation, and collusion across sportsbooks, casinos, and poker rooms in real time.
- Multi-account bonus abuse & gnoming detection
- Matched betting & arbitrage pattern recognition
- Chip dumping & poker room collusion
- Self-exclusion circumvention monitoring
- Responsible gambling compliance signals
Unmask Sybil networks and wash traders
Identify coordinated manipulation, synthetic identities, and exploit patterns across exchanges and DeFi protocols.
- Wash trading & volume manipulation detection
- Airdrop farming & Sybil account clusters
- Flash loan attack pattern recognition
- Wallet address risk scoring & clustering
- KYC bypass & synthetic identity detection
Protect payments before chargebacks hit
Stop card testing, account takeover, and money mule networks before they impact your business and reputation.
- Card testing & BIN attack detection
- Account takeover via credential stuffing
- Friendly fraud & chargeback prediction
- Money mule network identification
- Transaction laundering pattern detection
Feels native in your stack
One import, one init, one call — full protection in sub-30ms.
import { Serixo } from '@serixo/sdk'; import { Request, Response } from 'express'; const serixo = new Serixo(process.env.SERIXO_KEY); export async function evaluateDeposit(req: Request, res: Response) { const result = await serixo.evaluate({ event: 'transaction.deposit', userId: req.body.userId, amount: req.body.amount, currency: req.body.currency, ip: req.ip, deviceId: req.fingerprint, }); // result → { risk: 4, action: "allow", latency: 18 } return res.json(result); }
Production metrics. Not benchmarks.
Live data from 40+ platforms — not synthetic test results.
Start classifying agents
in five minutes
Free sandbox with full API access. No credit card required. Deploy to production when you're ready.