01
Embedded
Lives inside the app and ships when you ship.
Gladius
LoadingAutonomous Web Application Intelligence System
Embedded application-layer defense, self-learning attacker playbooks, active deception, genetically evolving rules, and self-grading intelligence. Always learning.
Federation telemetry (reconnecting)
Polled every 5s · Public aggregates · No PII
IQ score
n/a
Events / 24h
0
Rules active
n/a
Patterns bank
n/a
One brain
SKETCH_DELTA broadcasts · Anonymized · Public-safe aggregates
What’s new about it
01
Lives inside the app and ships when you ship.
02
Builds attacker playbooks from the attack patterns it observes.
03
Learns defense AND attack patterns. Most products do one. AWAIS evolves both sides every day.
04
Phantom architecture at the application layer: mirage credentials, doppler responses, crawler traps the attacker can't tell from real surface.
05
Generates plain-English findings continuously via template NLG. The operator never reads a stack trace to understand what's happening.
06
A deterministic benchmark scores the engine, so a change in detection shows up as a change in the score.
07
NSGA-II multi-objective evolution. Defense rules breed, mutate, and get culled by a fitness function tuned for false-positive cost.
08
War games against its own config every 4 hours. If a synthetic adversary breaks through, the rule that should have caught it is logged as a regression.
09
Root causes and fix steps for common Supabase, Vercel and Next.js errors. No 'check your logs' answers.
10
Attack patterns learned for one tenant can be shared with other tenants.
The architecture
AWAIS is what you get when a reliability engine and a security engine share the same memory, the same compute, and the same feedback loop.
Reliability Engine
Diagnoses, predicts, narrates, grades itself.
Security Engine
Learns attackers, plants deception, evolves its own rules.
How AWAIS differs
Product category
What it does
What AWAIS does
Application performance monitoring
Monitors applications
Runs inside the application and reports incidents specific to your stack.
Web application firewalls
Filter requests with rules
Learns attacker playbooks and uses active deception inside the app.
Network-layer deception
Deception at the network layer
Works at the application layer, inside your own routes.
Machine learning detection
ML-based detection
Runs embedded in the application.
Gladius AWAIS
Embedded, dual-sided, self-grading, self-evolving, application-native. No existing product runs all 10 properties in one engine.
What’s not (yet) perfect
The same scoreboard that grades AWAIS up also flags where it isn’t done yet. We publish both.
See it live
Founders demo
See the SOC dashboard, watch the threat-level gauge respond to live traffic, see Sentinel catch a synthetic regression in real time, watch Defense plant a phantom credential and fingerprint the attacker who bites.
Coined by Ricardo Gamon · GladiusCRM LLC · 2026