SpartanX vs Horizon3.ai
Dual-mode platform combining AI remediation and red-teaming.
| Category / Feature | SpartanX | Horizon3.ai |
|---|---|---|
| Core Vision | Agentic AI Security Workforce — automating both Defense (DevSecOps) and Offense (Red-Teaming) through autonomous AI agents. | Autonomous Penetration Testing (NodeZero) focused exclusively on offensive validation of exploitable weaknesses. |
| Mission Focus | Full lifecycle security automation: discover → validate → prioritize → fix → re-test → report. | Continuous pentesting & attack simulation — find exploitable attack paths in live environments. |
| Scope of Coverage | Code → Infra → APIs → Cloud → LLMs → Continuous Red-Team. | Infrastructure, cloud, and application external perimeter (no code-level or DevSecOps coverage). |
| Automation Level | Multi-agent AI orchestration: autonomous workflows that find, fix, and verify. | Single-purpose automation focused on exploit testing; no remediation or DevSecOps automation. |
| Defensive Capabilities | Full defensive stack: vulnerability discovery, triage, validation, remediation, and compliance. | None — purely offensive. |
| Offensive Capabilities | Continuous AI Red-Team + attack path mapping integrated with defensive analytics. | Autonomous penetration testing (NodeZero) — strong but standalone. |
| Remediation Capability | Auto-generates code fixes and Pull Requests (GitHub, GitLab, BitBucket). | Identifies issues but does not remediate. |
| Knowledge & Intelligence Layer | Ontology-driven Knowledge Graph mapping vulnerabilities ⇔ MITRE ATT&CK ⇔ business impact ⇔ controls. | Attack Path Graph (exploit chain visualization) — focused on offensive paths only. |
| Risk Prioritization | Combines exploitability, business impact, and asset context for risk-based prioritization. | Prioritizes findings by exploitability; no business context. |
| False-Positive Handling | Validation agents auto-test vulnerabilities to confirm exploitability before alerts. | Exploit validation confirms findings (strong), but limited to discovered exposures. |
| DevSecOps Integration | Deep CI/CD + issue tracker + natural-language orchestration. | No direct developer workflow integration. |
| Compliance & Reporting | Auto-generates ISO, NIST, PCI, HIPAA, DORA, GDPR, SOX reports. | Limited reporting; focuses on exploit proof and attack path results. |
| MSSP / Multi-Tenant Ready | Native multi-tenant architecture for MSSPs and service providers. | Single-tenant SaaS per customer instance. |
| Offense + Defense Synergy | Unified dual-mode: Defend (remediation) + Offense (AI Red Team). | Defense only. |
| Data Enrichment Sources | Integrates Snyk, Semgrep, Wiz, Tenable, Qualys, CrowdStrike, and more. | Primarily consolidates built-in scanners and supported tools. |
| Outcome Speed | Detection → Validation → Auto Fix → Compliance Report in minutes. | Detection → Manual Fix → Validation in days/weeks. |
| Target Persona | CISOs, AppSec Managers, DevSecOps Engineers, MSSPs. | Developers, small AppSec teams, SMBs/startups. |
| Market Positioning | Agentic AI Security Platform — autonomous, proactive, enterprise-ready. | Unified Scanner Platform — simple, developer-friendly, SMB-focused. |
SpartanX Kill Points
Single-function platform for pentesting only.
Dual-mode (Defend + Offense) platform combining AI remediation + red-teaming.
No remediation automation.
Auto-PR generation and validated code fixes directly in repos.
No DevSecOps or code-level visibility.
Deep CI/CD and developer integration across the SDLC.
No compliance automation or governance.
Audit-ready compliance mapping to major frameworks.
Single-tenant architecture.
MSSP-ready multi-tenant platform for service scalability.
No natural-language automation.
Human-in-loop agent orchestration via natural language.
Exploit-centric approach.
Full lifecycle: detect → validate → fix → simulate → report.
Limited intelligence layer.
Ontology-driven Knowledge Graph combining exploit, business, and compliance context.