Autonomous red teaming, at the scale and speed of a real adversary.
The first Autonomous Exposure Management (AEM) platform. It runs the entire exposure loop, at machine speed and under your control.
The SpartanX platform architecture
One adversary across your whole surface, chaining as it goes.
A real attacker does not stop at one surface. SpartanX tests each surface deeply and chains across them, using each foothold to reach the next, so a low finding on one becomes a proven path through another.
Web Applications
Mobile
APIs
Networks
Cloud Infrastructure
IAM and Identity
AI Systems, Agents and LLMs
With NodeX, the same adversary also runs inside your perimeter. See NodeX.
Discover. Attack. Validate. Remediate. Retest.
A continuous loop that mirrors how real attackers operate, running always-on without the human bottlenecks of a scheduled engagement. This is the autonomous exposure loop that defines AEM.
Reconnaissance and discovery
Map the full external and internal attack surface, surface hidden assets, and learn the relationships and data flows between them.
Autonomous attack
Dynamic payloads, multi-step exploit chaining, business-logic testing, lateral movement, and privilege escalation, run the way an adversary would.
Validation and evidence
Every finding is exploit-validated with a proof of concept, a business-impact read, preserved session context, and reproducible steps.
Reporting and remediation
Board-ready reports, developer-friendly guidance, auto-generated pull requests, framework mapping, and persona-specific reporting.
Continuous reassessment
Retest in clicks, not weeks. Schedule cadences, track trends, and keep evidence current between assessments.
The architecture behind an adversary that adapts, learns, and scales.
Four foundational layers power everything SpartanX does.
OKEG, the brain
Precision Exposure Scoring (PESS)
The AI agentic backend
Customer control layer
A platform that gets sharper with every engagement.
SpartanX is a self-evolving platform. It captures human ingenuity at the technique level, never customer data, and turns it into scalable, autonomous capability.
Human expertise capture
Elite red teamers seeded the brain. Their techniques, pivots, and intuition were captured once and encoded into reusable attack patterns.
Machine self-learning
Every execution is analyzed. Successful techniques are optimized and failed attempts diagnosed. The platform learns around the clock.
Real-world verification
Learned techniques are validated against real environments, with confidence scores that adjust to actual outcomes.
Your data stays yours. The learning is technique-level, not customer-level. Only generalized, de-identified, customer-agnostic patterns compound across the platform. Your findings, targets, credentials, environment details, and results are never shared and never used to benefit another customer. Every engagement’s data stays isolated within your own tenant.
After the adversary finds a path, the platform closes it.
Once findings are discovered and validated, the supporting agents help you remediate and stay examination-ready.
Intelligent prioritization
Automated remediation
Compliance and reporting
Continuous monitoring
Evidence, from hour one.
See what your current testing misses.
Schedule a technical demonstration and watch SpartanX find and prove the paths a point-in-time test leaves behind.