Stop bots. Prevent exploitation.
Protect what matters.
Multi-signal bot detection and web exploitation prevention — built for teams that need to shut down automated abuse without slowing down real users.
Transparent challenge gate — verify every session silently
Device & browser fingerprinting across 47 signal dimensions
Exploit prevention with virtual patching & anomaly scoring
Your security command center
One control plane for threat detection, device fingerprinting, and real-time enforcement.
ML-powered threat scoring with sub-150ms classification
Adaptive difficulty scales with real-time threat posture
Real-time analytics, audit trail & exportable reporting
Everything you need to stop bots & abuse
A complete stack of verification, fingerprinting, and ML scoring — eliminating the need for multiple, disconnected tools.
Behavioral analysis
14 mouse signals, 8 keyboard metrics, and cross-modal correlation — scored in real-time to separate humans from automation.
Device fingerprinting
99.5% accurate. Uncover headless browsers, TLS spoofing, and environment tampering across 47 signal dimensions.
Bot detection
Detect bots, headless browsers, and coordinated attacks through layered challenge verification.
ML threat scoring
Self-learning hybrid transformer classifies sessions in <150ms. Defers to rules when confidence is low.
Rules engine
Real-time allow, challenge, or deny. Manage rules without code changes through the console or REST API.
Proof of work
WASM-bound PoW with per-session S-box transformations. Adaptive difficulty scales from 14 to 28 bits based on threat posture.
Anti-reverse engineering
DOM escape detection, honeypot traps, polymorphic obfuscation, and canvas pixel challenges — all verifiable server-side.
How the industry approaches bot defense
Every provider makes different architectural tradeoffs. We study them all.
Behavioral sensors with Brownian-motion mouse analysis and risk scoring.
Bytecode VM fingerprinting with encrypted payloads and crypto PoW.
CDN-layer interception with device fingerprinting and edge scoring.
Obfuscated JS sensors with XOR-encrypted payloads and _abck cookies.
Invisible browser challenge combining PoW with environment probing.
Server-authoritative timing anchored with VM fingerprinting and PoW.
How It Works
Defense in depth.
Every request passes through layered verification before reaching your application. The challenge gate, exploit rules, and behavioral analysis work together — configurable through the console or the REST API, with full audit trail on every decision.
News & Resources
From the AgileRisk team.
Reverse Engineering DDoS-Guard’s Challenge Architecture
A structural analysis of the JS interstitial flow and TLS fingerprinting layers deployed across thousands of protected origins. We map the six-step challenge sequence, catalogue the cookie taxonomy, and examine how JA3/JA4 signatures create the strongest verification gate in the stack.
GET /target → 403 + __ddg1_ + challenge page
GET check.ddos-guard.net/check.js → IIFE + beacon nonce
POST /.well-known/ddos-guard/mark/ → fingerprint → __ddg2_Adaptive Challenge Difficulty
Challenge parameters now adjust automatically based on per-IP threat scoring and global traffic patterns. High-risk sessions receive harder challenges without impacting legitimate users.
Admin Console Expansion
Six-tab admin panel with system configuration, audit logs, session management, usage invoicing, and security policy controls. Full RBAC across all console operations.
TLS Fingerprint Database
Updated JA3/JA4 signature database covering Chrome 146, Firefox 147, and Safari 17.0. Automated detection of known headless browser and HTTP library fingerprints.
DDoS-Guard Challenge Architecture
Full reverse engineering analysis of the JS challenge flow, cookie taxonomy, and TLS fingerprinting layers.
Read articleMulti-Signal Bot Defense
How layered verification outperforms single-signal detection in adversarial environments.
Read whitepaperTLS Fingerprinting as a Verification Signal
How JA3/JA4 signatures distinguish real browsers from HTTP libraries, headless Chrome, and spoofed environments.
Read articleGetting Started
Protect your first application, configure challenge policies, and start blocking bots in minutes.
Read guideCredential Stuffing Economics
How computational cost enforcement changes the economics of large-scale credential stuffing attacks.
Read analysisAnti-Bot Provider Landscape 2026
Architectural comparison across bot management providers — challenge designs, signal coverage, and bypass resistance.
Read comparisonStopping Bots That Bypass CAPTCHAs
Why traditional CAPTCHAs fail against modern automation — and how server-authoritative verification changes the equation for credential stuffing and account takeover prevention.
2:00 PM EDT · VirtualAgileRisk @ DEF CON 34
Threat research team presenting on anti-bot challenge architecture patterns and the evolution of TLS fingerprinting as a verification signal.
Las Vegas, NVProtecting AI-Generated Applications
Hands-on session covering bot defense for vibecoded apps — the most commonly exploited category of web applications in 2026.
11:00 AM EDT · VirtualPricing
Pay as you go.
One rate. Every feature. No tiers, no contracts, no minimums.
Need enterprise volume or dedicated infrastructure? Talk to us.
FAQ
Common questions.
Credential stuffing tools, scraping frameworks, headless browsers, automated exploit scanners, and custom bot scripts. The challenge gate verifies that every visitor is a real human on real hardware — not a request library, a headless Chrome instance, or a replay attack.
Traditional WAFs match request patterns against rule sets. AgileRisk adds a verification layer before the WAF — the challenge gate forces every session to prove it originates from a real browser with real user interaction. Bots are stopped before they ever reach your application logic.
For real browsers on real hardware, the challenge completes in 2–5 seconds on first visit. Verified sessions are remembered — returning users pass through without delay. The challenge is transparent and requires no user interaction beyond loading the page.
API routes can be protected with rate policies, anomaly scoring, and session-bound tokens. The challenge gate is designed for browser-facing surfaces, while API protection uses token validation, request pattern analysis, and per-endpoint rate limiting.
AgileRisk offers enterprise licensing with dedicated support, managed upgrades, and custom integration assistance. Contact sales@agilerisk.net for details.
Ready to stop the bots?
Talk to our team about protecting your application from automated abuse and exploitation.