SpartanX vs Semgrep
Full attack-surface coverage with AI-driven remediation and continuous offensive testing.
| Category / Feature | SpartanX | Semgrep |
|---|---|---|
| Vision & Positioning | Agentic AI Security Workforce that unifies Defend (DevSecOps) and Offense (Red Teaming) for continuous, autonomous protection. | Lightweight static analysis for developers with customizable rules. |
| Automation Level | Full agentic automation: AI agents execute end-to-end workflows (find → validate → fix → report). | Manual / rule-triggered actions only. |
| Remediation Speed | Minutes not weeks. Auto-generates code fixes with pull requests, including explanations & security best practices. | Manual remediation. |
| Offensive Capabilities | Built-in AI Red-Teaming: continuous autonomous penetration testing (24/7) across apps, infra, APIs. | None. |
| Human-in-the-Loop AI | Agents act under analyst supervision; users control approvals. Combines automation + governance. | None; static rules only. |
| Knowledge Intelligence | Ontology-driven Knowledge Graph linking vulnerabilities → attack paths → business impact → compliance controls. | Community rule registry; limited enrichment. |
| Attack Surface Coverage | Code → Infra → APIs → Cloud → LLMs. Full-stack coverage including AI security. | Code, configs, secrets. |
| False Positive Elimination | Validation agents re-test findings and eliminate noise automatically. | Manual tuning; rule-dependent. |
| DevSecOps Workflow Integration | Deep bidirectional integration with GitHub, Jira, Linear, CI/CD, Slack/Teams. PRs generated automatically. | Simple CI/CD hooks; rule files. |
| Multi-Tenant / MSSP Ready | Native multi-tenant architecture built for MSSPs and large orgs. | Not multi-tenant. |
| Compliance & Reporting | Auto-generates ISO 27001, NIST, PCI-DSS, DORA, GDPR, SOX, HIPAA reports mapped to control IDs. | CSV/JSON output; manual report generation. |
| Continuous Red-Team Simulation | Built-in 24/7 automated adversarial testing with MITRE ATT&CK mapping. | Not available. |
| AI Explainability & Governance | Every AI action logged, reviewed, reversible; natural-language reasoning in each PR. | Static results only. |
| Scalability | Horizontal scaling across repos & clients with agent orchestration. | Lightweight but manual orchestration. |
| User Experience | Natural-language automation: "Find and fix all critical vulns in prod." | CLI + YAML-based configs. |
| Integration Ecosystem | Extends beyond security stack: connects to Snyk, Semgrep, Wiz, CrowdStrike, Notion, Confluence. | Basic integrations. |
| Market Differentiator | Dual Mode: Defend + Offense + AI-driven remediation + Knowledge Graph | Static SAST engine |
| Outcome | Operationalized Security Autonomy — from detection to action to reporting. | Detection & static guidance. |
SpartanX Kill Points
Static only; lacks dynamic/offensive testing
Adds continuous penetration testing & threat modeling
Manual rule management
AI agents learn patterns dynamically and reprioritize
No auto-remediation
Auto PR generation with fix explanations
Narrow in scope
Full attack-surface coverage: code, infra, APIs, cloud
No multi-tenant capability
MSSP-ready multi-tenant orchestration
Developer-focused; minimal SecOps features
Designed for Dev, Sec, and Ops teams together