Continuous Automated Red Teaming (CART)
The same AI agents that pentest your web apps and APIs don't stop at one finding. They chain validated exploits into full red-team attack paths, continuously, with proof for every step.
What Is Continuous Automated Red Teaming (CART)?
Continuous Automated Red Teaming (CART) is FireCompass's patented approach to red teaming, in which AI agents continuously discover an organization's real attack surface, pentest its web apps and APIs, and chain validated findings into multi-stage attack paths the way a live adversary would. Every finding carries proof of exploit, and testing runs on a continuous cadence instead of an annual calendar.
FireCompass created and patented CART years before the market had a name for it. In March 2026, A premier global research and advisory firm named FireCompass in the new Continuous Offensive Security Testing (COST) market, the analyst category that describes what CART was built to do. Read the full breakdown of the COST category.
Why Point-in-Time Red Teaming Misses What Attackers Find
Annual red team engagements and simulation-only tools were not built for how attackers actually operate. Three gaps explain why.
Scope Gap
Most programs deeply test crown-jewel apps and leave peripheral assets, shadow apps, and forgotten subdomains alone. Attackers probe 100 percent of what's exposed, and about 20 percent of breaches start through exactly the peripheral assets that get skipped.
Depth Gap
Scanner-based tools produce false positive rates in this range and report findings in isolation. That misses credential reuse entirely, even though 22 percent of breaches start with credential abuse.
Speed Gap
Many red team programs still run once a year. Attackers exploit newly disclosed CVEs in about 3 days. The gap between a test and the next real attack keeps widening.
How FireCompass Automates Red Teaming
Four capabilities, running on one platform, closing the Scope, Depth, and Speed gaps at the same time.
Discover
Map the real attack surface: shadow apps, forgotten subdomains, leaked credentials on the dark web, and API endpoints pulled from JS files and traffic, including the peripheral assets attackers hit first.
Pentest
Test web apps and APIs against OWASP Top 10: 2025, business logic, and authenticated and unauthenticated paths. Every finding ships with proof of exploit and reproducible steps.
Chain & Red Team
Agents reuse credentials across services, pivot app-to-app and app-to-network, and automate full MITRE ATT&CK kill chains, the way a live red team does it.
Continuously
All of it runs on your cadence: weekly, on demand, or triggered by a new CVE or CI/CD release. No lead time, no waiting two weeks for a report.
This is not a scanner running the same script on a schedule. It is the same AI agent that pentested the application yesterday, now looking for what it can chain into next.
Proof, Not Promises
Every claim below is benchmarked or drawn from a live customer deployment. None of it is rounded up.
On every public benchmark: XBEN 104/104, Acuart 12/12 (PoC-validated), DVWA all levels. Fully autonomous, no manual steering.
False positive rate, versus 40 to 70 percent for traditional scanners.
Cheaper than manual testing. About $5K down to under $1K per app in a Fortune 500 case.
Of the time, FireCompass agents beat top human researchers in internal evaluation, sometimes by wide margins, while staying under 2 percent false positives.
Fortune 500 Case: 200 Apps a Year to 2,000+ Apps, Continuously
A Fortune 500 technology company replaced its consulting-led red team program with FireCompass. Result: 2,000-plus apps tested continuously instead of 200 tested annually, an 80 percent cost reduction per test, and a two-week lead time collapsed to one day.
Read the full case detailFireCompass CART vs. Simulation-Based Tools vs. Manual Red Teaming
Most "continuous red teaming" tools are breach and attack simulation (BAS) platforms. They safely simulate attacker behavior against controls. FireCompass validates exploitability directly, on real web apps and APIs, with evidence.
| Dimension | FireCompass CART | BAS-Style Tools | Manual / Annual Red Team |
|---|---|---|---|
| Validation method | Evidence-backed exploit, proof-of-concept per finding | Safe simulation against controls, not real exploitation | Manual exploitation, expert-dependent |
| Scope | Web, API, and infrastructure, internal and external | Mostly internal network and endpoint scenarios | Whatever's scoped, usually a partial slice |
| False positive rate | Under 2 percent | Not applicable (simulation, not detection) | Low, but slow to produce |
| Cadence | Continuous: weekly, on demand, or CI/CD-triggered | Continuous | Annual or biannual |
| Cost per test | $450 to $2,500 per app | Platform license, per-test cost not disclosed | $2,400 to $10,000 per app |
| Category origin | Patented CART, named in Analyst's COST market | Breach and attack simulation heritage | Traditional consulting |
Inside the Platform
Recon & Attack Surface Management
Comprehensive reconnaissance across deep, dark, and surface web OSINT data, using MITRE ATT&CK techniques to build an accurate asset inventory.
- AI/ML-driven asset attribution for accurate identification
- Active validation that eliminates false positives and adds situational awareness
Web Application & API Pentesting
Maps the attack surface, analyzes entry points, and tests against OWASP Top 10: 2025 and business logic flaws, going beyond what scanners can see.
- Authenticated and unauthenticated testing paths
- Proof of exploit and reproducible steps for every validated finding
Network Pentesting
Automates network penetration testing by emulating real-world attacks against endpoints and internal infrastructure.
- Endpoint protection evaluation
- Detection of malware injection, lateral movement, and privilege escalation
MITRE-Based Full Kill Chain Automation
Emulates multi-stage attacks across the entire kill chain using the MITRE ATT&CK framework, chaining findings the way a live adversary would.
- Detailed analysis of adversary tactics and techniques
- Actionable, prioritized remediation steps based on simulated attacks
Real-Time Alerting
Continuous, real-time alerts on vulnerabilities and attack simulations, so teams can act while the exposure window is still open.
- Immediate threat response for validated findings
- Continuous monitoring that keeps posture current
“The tool has exceeded our expectations.”Risk Manager, Top 3 Telecom in USA
Backed by Independent Recognition
Forrester, IDC, GigaOm, Leading Global Analyst
5 cycles running
Named vendor
Plus Bruce Schneier, Advisor
Frequently Asked Questions
How is FireCompass's CART different from BAS-style automated red teaming?
Breach and attack simulation (BAS) tools safely simulate attacker behavior against your controls without real exploitation. FireCompass's AI agents perform evidence-backed exploitation directly against web apps and APIs, then chain validated findings into multi-stage attack paths, with proof of exploit for every step and a false positive rate under 2 percent.
Does an AI agent actually exploit vulnerabilities, or just simulate them?
It exploits them, within defined guardrails. Every finding FireCompass reports is validated with a working proof of exploit and reproducible steps, not a theoretical alert. That is what keeps the false positive rate under 2 percent, against 40 to 70 percent for scanner-based tools.
Is CART a Analyst-recognized category?
Analyst's newer Continuous Offensive Security Testing (COST) market, published in March 2026, describes trigger-driven, continuously validated pentesting. FireCompass, which patented CART years earlier, was named in that market. Analyst does not endorse specific vendors in its research; see the disclaimer above.
How does Automated Red Teaming differ from manual red teaming and penetration testing?
Manual red teaming and penetration testing cannot run continuously because of time, budget, and expertise limits. FireCompass's automated red teaming runs on a continuous cadence, using the same AI agents that pentest web apps and APIs, and often uncovers chained paths a scoped manual engagement would miss.
How does FireCompass reduce false positives in automated red teaming?
Every finding is validated with a working exploit and reproducible evidence before it reaches a dashboard. That validation step, not model accuracy alone, is what holds the false positive rate under 2 percent, compared with 40 to 70 percent for traditional scanners.
Can Continuous Automated Red Teaming replace my annual penetration test?
It replaces the calendar-based model, not the need for testing. Instead of one snapshot a year covering a fraction of your assets, CART tests continuously across your real attack surface and revalidates fixes on demand, closing the exposure window that opens between annual tests.
What compliance frameworks does CART support?
Continuous validation maps directly to the tightening testing-frequency requirements in PCI DSS 4.0, SOC 2, and DORA, which increasingly expect evidence of ongoing testing rather than a single annual report.
How does FireCompass automate the full red team kill chain?
Agents chain validated findings the way a live adversary would: reusing credentials across services, pivoting app-to-app and app-to-network, and mapping the full sequence to the MITRE ATT&CK framework, with a proof of exploit anchoring every step.
Resources for Security Professionals
See What Your AI Agents Would Find
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