SpartanX vs Rapid7
Autonomous execution vs detection and analytics.
| Category / Feature | SpartanX | Rapid7 |
|---|---|---|
| Core Vision | Agentic AI Security Workforce — autonomous AI agents that find, validate, and fix vulnerabilities across code, infra, APIs, and cloud. | Detection & Response with integrated VM & analytics. |
| Primary Mission | Automate full vulnerability lifecycle (discover → prioritize → fix → report) across DevSecOps and security teams. | Discover & assess vulnerabilities for SOC context. |
| Automation Level | Fully Agentic AI — multi-agent workflows autonomously remediate and create PRs. | Automated scans, manual validation & remediation. |
| Remediation Capability | Auto-fix with Pull Requests + code explanations. | Detection only; patching manual or via integrations. |
| Offensive Security | Built-in AI Red-Teaming & continuous pentesting (24/7). | Limited exploit validation. |
| Human-in-the-Loop AI | AI executes under human governance; analysts approve fixes & workflows. | No AI. |
| Knowledge Intelligence | Ontology-driven Knowledge Graph linking vulnerabilities ↔ MITRE ATT&CK ↔ business impact ↔ compliance. | CVE + threat intel feeds. |
| Risk Prioritization | Combines exploitability, business impact, asset context, and threat intelligence. | CVSS + risk scoring models. |
| Coverage Scope | Code → Infra → Cloud → API → AI/LLM → Continuous Red-Team. | Infra, cloud, EDR integrations. |
| Developer / DevSecOps Integration | Deep repo & CI/CD integrations (GitHub, GitLab, BitBucket, Jira, Linear). | None. |
| Continuous Testing | Agents run non-stop; every commit, every build, every asset. | Scheduled or on-demand scans. |
| False Positive Handling | AI validation agents auto-retest findings & deduplicate noise. | Manual validation. |
| Compliance Reporting | Auto-generate ISO 27001, PCI-DSS, HIPAA, NIST, GDPR, DORA, SOX reports with mapped controls. | Limited compliance support. |
| Multi-Tenant / MSSP Support | Native multi-tenant architecture for MSSPs & partners. | Enterprise multi-site, not true MSSP design. |
| Natural-Language Automation | "Find all critical vulns and fix them." — executes instantly. | None. |
| Attack-Path Analysis | AI maps vulnerabilities to real exploit chains using MITRE ATT&CK. | Partial correlation via InsightVM analytics. |
| Data Sources | Integrates data from code, cloud, endpoints, 3rd-party tools (Snyk, Wiz, Semgrep, CrowdStrike). | Agent-based + cloud & threat intel. |
| Response Time | Detection → PR fix in minutes. | Detection → manual patch in days/weeks. |
| Business Impact Mapping | Auto-prioritizes by business risk, not just severity. | CVSS + exposure scoring. |
| AI Red Team Simulation | Built-in continuous attack simulation & exploit validation. | Partial exploit validation. |
| Platform Delivery | Unified web platform with autonomous agent orchestration. | Cloud SaaS with local agents. |
| Outcome Speed | Remediation in minutes, not months. | Detection in hours, fix in weeks. |
| Ideal Users | CISOs, DevSecOps, AppSec, MSSPs needing autonomous security execution. | SOC teams and vulnerability analysts. |
| Market Positioning | AI Security Workforce: proactive, autonomous, offensive + defensive. | Detection & analytics suite. |
SpartanX Kill Points
Reactive, scan-based approach
Continuous proactive AI agents scanning and fixing in real time
Detection-only workflows
Autonomous remediation with code fixes and PRs
No offensive validation
Built-in AI Red Team module
CVE-based prioritization
Business-impact & threat-intel driven prioritization
Weeks of manual triage & patch cycles
Auto-fix in minutes; backlog elimination
Limited developer visibility
Native DevSecOps integration into CI/CD pipelines
No AI or natural language
Natural-language orchestration & agentic AI workforce
Fragmented tools for Dev, Sec, Ops
Unified Defend + Offense platform
Compliance handled manually
Instant audit-ready framework reports
No MSSP scalability
Native multi-tenant architecture built for service providers