Ascension Labs' adversarial testing and red team engine — an autonomous attack simulation platform that validates every layer of the CAI stack by systematically attempting to break it. INFURIO exists to find what defends against it.
A defensive system that has never been genuinely attacked is an assumption, not a guarantee. INFURIO is built on the conviction that the only way to know a system holds is to try — systematically, autonomously, and without restraint within authorized scope — to make it fail.
Generates and executes multi-vector attack sequences against isolated target environments without manual red team operation — enabling continuous adversarial validation at a scale and cadence that human red teams cannot sustain.
Models complete adversary kill chains from initial access through persistence, privilege escalation, lateral movement, and objective execution — testing system resilience against full campaign scenarios, not isolated techniques.
Generates targeted adversarial inputs designed to exploit edge cases in AI reasoning systems, governance logic, and decision arbitration — providing ongoing assurance that CERTUS and VERITAS cannot be manipulated through input crafting.
Discovered vulnerabilities are automatically structured into CERTUS policy recommendations and PRAETORIAN playbook updates, creating a closed loop where red team findings directly harden the defensive posture of the system they attacked.
INFURIO operates exclusively within authorized, isolated test environments. Architectural isolation is enforced at the network and execution layer — INFURIO cannot interact with production systems regardless of configuration state.
Runs continuous adversarial campaigns against isolated stack instances, measuring PRAETORIAN detection rates, CERTUS policy bypass resistance, VERITAS logical manipulation resistance, and OCULUS source spoofing resilience.
Structured vulnerability reports are fed to the engineering team, CERTUS policy update pipeline, and PRAETORIAN playbook engine. Critical findings trigger immediate CERTUS constraint updates before the next operational cycle.
Ongoing automated red team operations that keep pace with system updates and evolving adversary technique libraries.
Targeted adversarial testing of AI reasoning, governance, and decision systems against manipulation, poisoning, and evasion.
Quantifiable measurement of defensive posture across all system layers to support program certifications and acquisition reviews.