CodeGraph Competitive Matrix

CodeGraph Competitive Matrix

Comparative Analysis for RFP and Decision Making

Table of Contents

Executive Summary

CodeGraph is the only solution combining:

  • CPG-based analysis (AST + CFG + PDG + DDG + Call Graph) with taint-verified vulnerability detection
  • AI assistant with natural language queries in Russian and English
  • Integrated DLP protection for LLM interactions (25+ patterns)
  • SIEM integration in three formats (Syslog, CEF, LEEF)
  • Russian LLMs (GigaChat, Yandex AI Studio) for 152-FZ compliance
  • Multi-criteria hypothesis validation to reduce false positives

The Market Problem

Traditional SAST tools generate up to 91% false positives (Ghost Security, 2025). AI code generators (Copilot, Cursor) produce vulnerable code in 45% of cases (Veracode, 2025). No existing solution combines deep CPG analysis, an AI assistant, and an enterprise security stack in a single product.

Comparison Summary Table

Feature CodeGraph GitHub Copilot SonarQube Semgrep Snyk Code Sourcegraph PT Application Inspector
Deployment
On-Premise ✅ ❌ ✅ ⚠️ CLI only ❌ ✅ ✅
Air-Gapped ✅ ❌ ✅ ⚠️ CLI only ❌ ⚠️ Partial ✅
Docker / Kubernetes ✅ ❌ ✅ ⚠️ CLI ❌ ✅ ✅
Data Residency
Code stays on-prem ✅ ❌ ✅ ⚠️ CLI ❌ ✅ ✅
Russian LLM ✅ GigaChat + Yandex AI ❌ ❌ ❌ ❌ ❌ ❌
152-FZ compliance ✅ ❌ ⚠️ ❌ ❌ ❌ ✅
Code Analysis
Code Property Graph ✅ Full CPG ❌ ❌ AST only ❌ AST matching ⚠️ ML-inferred ⚠️ Code Intelligence ⚠️ Limited
Taint Analysis ✅ Interprocedural ❌ ⚠️ Single-file ⚠️ Pro only ⚠️ ML-based ❌ ⚠️ Pattern-based
Taint-Verified Vulns ✅ Data flow proof ❌ ❌ ❌ ❌ ❌ ❌
Data Flow (cross-file) ✅ ❌ ⚠️ ⚠️ Pro only ⚠️ ❌ ⚠️
Control Flow ✅ ❌ ⚠️ ❌ ❌ ❌ ⚠️
Cross-language analysis ✅ CGO, ctypes, JNI ❌ ❌ ❌ ❌ ❌ ❌
Vulnerability Detection
SAST ✅ ❌ ✅ ✅ ✅ ❌ ✅
Multi-Criteria Scoring ✅ ❌ ❌ ❌ ❌ ❌ ❌
CWE/CAPEC mapping ✅ ❌ ✅ ✅ ⚠️ ❌ ✅
False Positive Rate <20% N/A 40-60% 20-40% 30-50% N/A 40-70%
AI / LLM
AI Assistant ✅ NL queries ✅ Autocomplete ❌ ⚠️ Assistant ⚠️ AI Fix ✅ Cody ❌
NL queries over codebase ✅ ❌ ❌ ❌ ❌ ✅ Cody ❌
LLM Security Layer (DLP) ✅ 25+ patterns ❌ ❌ ❌ ❌ ❌ ❌
Prompt Protection ✅ ❌ ❌ ❌ ❌ ❌ ❌
Security
RBAC ✅ 4 roles, 21 perms ⚠️ GitHub roles ✅ ✅ ✅ ✅ ✅
SIEM Integration ✅ Syslog/CEF/LEEF ❌ ⚠️ Webhook ❌ ❌ ❌ ⚠️ PT SIEM
HashiCorp Vault ✅ ❌ ❌ ❌ ❌ ❌ ❌
SARIF 2.1.0 ✅ ❌ ✅ ✅ ✅ ❌ ✅
IDE Integration ✅ ACP: Zed, JetBrains, VS Code ✅ VS Code, JetBrains ✅ Plugins ✅ Plugins ✅ Plugins ✅ ⚠️
Languages (11)
C/C++ ✅ ✅ ✅ ✅ ✅ ✅ ✅
Java/Kotlin ✅ ✅ ✅ ✅ ✅ ✅ ✅
Python ✅ ✅ ✅ ✅ ✅ ✅ ✅
JavaScript/TypeScript ✅ ✅ ✅ ✅ ✅ ✅ ✅
Go ✅ ✅ ✅ ✅ ✅ ✅ ⚠️
C# ✅ ✅ ✅ ✅ ✅ ✅ ✅
PHP ✅ ⚠️ ✅ ✅ ✅ ✅ ✅
1C:Enterprise ✅ ❌ ❌ ❌ ❌ ❌ ❌

Legend: ✅ Full Support | ⚠️ Partial Support | ❌ Not Supported

CodeGraph Unique Advantages

1. Only Platform Combining CPG + AI + Enterprise Security

                CodeGraph                          Competitors
                ─────────                          ───────────

Source Code ──► [CPG Engine]                Source Code ──► [Pattern Match]
                     │                                          │
         ┌───────────┼───────────┐                  ┌───────────┤
         ▼           ▼           ▼                  ▼           ▼
   AST + CFG    Data Flow    Call Graph         AST only    Regex/ML
   + PDG + DDG  Analysis     Resolution         (SonarQube)  (Semgrep)
         │           │           │                  │
         └───────────┼───────────┘                  │
                     ▼                              ▼
            [AI Agents + DLP]                  Result:
                     │                         suspicion
                     ▼
              Result:
         verified vulnerability

2. Taint-Verified Vulnerabilities

CodeGraph:
Source ──[data flow across N files]──► Sink = CONFIRMED vulnerability

Traditional SAST:
Pattern match = POSSIBLE vulnerability (up to 91% false positive rate)

Results: - 100% CVE detection rate (3/3 target CVEs) - 60%+ false positive reduction vs pattern matching - Prioritization by actual risk, not static severity

3. Integrated DLP Protection

                    CodeGraph                    Competitors
                    ─────────                    ───────────
User Query ──► [DLP Scanner] ──► LLM       User Query ──► LLM
                    │                                │
                    ▼                                ▼
              Block/Mask/Log                   No protection
  • 25+ patterns: secrets, PII, credentials, API keys
  • Prevents confidential data leakage through LLM prompts
  • Masks PII in LLM responses
  • GDPR and data protection compliance

4. SIEM in Three Formats

Format CodeGraph GitHub Copilot SonarQube Semgrep Snyk PT AI
Syslog RFC 5424 ✅ ❌ ❌ ❌ ❌ ❌
CEF (ArcSight) ✅ ❌ ❌ ❌ ❌ ❌
LEEF (QRadar) ✅ ❌ ❌ ❌ ❌ ❌

Integration with existing SOC without customization.

5. Multi-Criteria Hypothesis Validation

Priority Score = (CWE Frequency × 0.40)
               + (Attack Similarity × 0.30)
               + (Codebase Exposure × 0.30)

Competitors use static severity without codebase context.

6. IDE Integration via ACP

Transport Use Case
stdio Local subprocess (Zed, Cursor)
HTTP Remote REST API
WebSocket Real-time streaming

Supported IDEs: Zed, JetBrains (IntelliJ, PyCharm, WebStorm), VS Code. Open ACP protocol — no vendor lock-in. MCP (Model Context Protocol) compatible.

Use Case Comparison

Use Case 1: Security Audit

Requirement CodeGraph SonarQube Semgrep PT AI
Taint analysis (source → sink) ✅ CPG ❌ ⚠️ Pro ⚠️
Cross-file data flow ✅ ❌ ⚠️ Pro ⚠️
Cross-language (CGO, JNI) ✅ ❌ ❌ ❌
False Positive Rate <20% 40-60% 20-40% 40-70%
CWE classification ✅ ✅ ✅ ✅
SARIF export ✅ ✅ ✅ ✅
LLM interaction audit ✅ ❌ ❌ ❌
SIEM reporting ✅ ⚠️ ❌ ⚠️

Use Case 2: AI-Assisted Code Review

Requirement CodeGraph GitHub Copilot Sourcegraph Cody
AI-assisted review ✅ ✅ ✅
Knows your codebase (CPG) ✅ ❌ ❌
DLP protection ✅ ❌ ❌
On-premise LLM ✅ GigaChat + Yandex AI ❌ Cloud only ❌ Cloud only
Audit trail ✅ ❌ ⚠️

Use Case 3: Compliance (152-FZ, GOST)

Requirement CodeGraph GitHub Copilot SonarQube Snyk PT AI
Data in Russia ✅ On-prem ❌ US cloud ✅ ❌ Cloud ✅
Russian LLM ✅ ❌ ❌ ❌ ❌
DLP for PII ✅ ❌ ❌ ❌ ❌
Audit logging ✅ ⚠️ ⚠️ ⚠️ ✅
SIEM integration ✅ ❌ ⚠️ ❌ ⚠️
FSTEC certification ⚠️ Roadmap ❌ ❌ ❌ ✅

Use Case 4: Onboarding & Code Understanding

Requirement CodeGraph GitHub Copilot Sourcegraph Cody
NL queries over codebase ✅ CPG + Hybrid RAG ❌ ✅ Vector search
Call graph navigation ✅ ❌ ⚠️ Code Intelligence
Impact analysis ✅ ❌ ❌
Architecture visualization ✅ ❌ ❌
Answer accuracy ✅ +33.6% F1 (Hybrid RAG) N/A ⚠️ LLM context window
Response time <5 sec N/A 3-10 sec

Pricing Comparison

Solution Model Approximate Cost Enterprise Features
CodeGraph Per-developer from $50/dev/month DLP + SIEM + Vault included
GitHub Copilot Business Per-developer $19/dev/month No DLP/SIEM/Vault
GitHub Copilot Enterprise Per-developer $39/dev/month No DLP/SIEM/Vault
SonarQube Enterprise Per-instance from $20K/year No AI/LLM/DLP
Semgrep Team Per-developer $40/dev/month No on-premise LLM
Semgrep Enterprise Custom Contact sales Limited cross-file
Snyk Team Per-developer $25/dev/month Cloud-only
Snyk Enterprise Custom $50+/dev/month Cloud-only
Sourcegraph Enterprise Per-developer $49+/dev/month Cody AI = cloud LLM
PT Application Inspector Per-instance from $50K/year No AI/LLM

Note: CodeGraph includes all enterprise features (DLP, SIEM, Vault, AI, NL queries) at no additional cost.

Requirements Compliance Matrix

For Financial Organizations (GOST R 57580)

Requirement CodeGraph SonarQube Semgrep Snyk PT AI
On-premise deployment ✅ ✅ ⚠️ CLI ❌ ✅
Full operation audit ✅ ⚠️ ⚠️ ⚠️ ✅
Granular RBAC ✅ ⚠️ ✅ ✅ ✅
SIEM integration ✅ ⚠️ ❌ ❌ ⚠️
Encryption at-rest ✅ ✅ ✅ ✅ ✅
Secrets management (Vault) ✅ ❌ ❌ ❌ ❌
DLP for LLM ✅ ❌ ❌ ❌ ❌

For Government Organizations

Requirement CodeGraph SonarQube Snyk PT AI
152-FZ compliance ✅ ⚠️ ❌ ✅
Russian LLM ✅ ❌ ❌ ❌
FSTEC certification ⚠️ Roadmap ❌ ❌ ✅
Air-gapped deployment ✅ ✅ ❌ ✅
GOST R 56939 (secure dev) ✅ ❌ ❌ ✅
1C:Enterprise support ✅ ❌ ❌ ❌

Conclusion

CodeGraph is the only solution on the market combining:

  1. CPG-based analysis with taint-verified vulnerabilities and <20% false positive rate
  2. AI assistant with NL queries over the codebase in Russian and English
  3. Integrated DLP for LLM interaction protection (25+ patterns)
  4. SIEM integration in three enterprise formats (Syslog/CEF/LEEF)
  5. HashiCorp Vault for centralized secrets management
  6. Russian LLMs (GigaChat + Yandex AI Studio) for 152-FZ compliance
  7. 11 languages including 1C:Enterprise and cross-language analysis (CGO, ctypes, JNI)
  8. Agent Client Protocol (ACP) for native IDE integration

No competitor offers all these capabilities in a single solution.

Version: 2.0 | February 2026