Find Vulnerabilities Early.Enforce Secure Coding.Ship With Confidence.
Enterprise SAST combined with expert manual review. We detect injection flaws, auth bypass, business logic errors, and OWASP Top 10 across 10+ languages — integrating directly into your CI/CD pipeline with zero friction.
The Audit Blueprint
A precision-engineered 5-phase review protocol — from attack surface enumeration to verified remediation sign-off. Every engagement follows the same rigorous playbook.
SAST & Automated Analysis Pipeline
Every commit triggers a multi-layer security pipeline — static analysis, dependency scanning, secret detection, and policy enforcement — all in under 4 minutes with zero developer friction.
| Tool | Category | Languages | Rules | Speed | Output |
|---|---|---|---|---|---|
| Semgrep | SAST | 15+ | 1,247 | < 60s | SARIF, JSON, PR comments |
| Bandit | SAST | Python | 47 | < 10s | JSON, HTML, XML |
| ESLint Security | SAST | JS/TS | 28 | < 15s | JSON, JUnit |
| OWASP Dep-Check | SCA | All | CVE DB | < 30s | HTML, XML, SARIF |
| Snyk | SCA | All | 1.3M+ | < 45s | JSON, SARIF |
| TruffleHog v3 | Secrets | All | 120+ | < 15s | JSON, verified |
| Gitleaks | Secrets | All | 160+ | < 8s | JSON, SARIF |
| Checkov | IaC | TF/K8s | 750+ | < 20s | JSON, JUnit |
OWASP Top 10 & CWE Coverage
Full coverage of OWASP 2021 with 699+ CWE mappings — every category includes context-aware detection, exploit-path tracing, and developer-readable remediation guidance.
Broken Access Control
Access control enforces policy so users cannot act outside intended permissions. Failures lead to unauthorized disclosure, modification, or destruction of data, and performing business functions outside user limits.
Expert Manual Review Process
Senior security engineers trace business logic, map trust boundaries, and reason about adversarial intent — finding vulnerabilities that no automated scanner can detect.
No ownership check — any user can access any order via order_id
Balance check and deduct not atomic — TOCTOU window exploitable
qty not validated — negative qty reverses payment, credits attacker
Architecture & Trust Boundaries
Maps component isolation, data flows across trust boundaries, and identifies where the threat model breaks down.
Business Logic & IDOR
Traces multi-step workflows to find where authorization checks are skipped, reordered, or bypassed via workflow manipulation.
Race Conditions & TOCTOU
Identifies timing windows between check and use — concurrency flaws requiring understanding of async execution paths.
Auth & Session Management
Reviews token generation, expiry, rotation logic, and session lifecycle — including subtle edge cases in OAuth/OIDC flows.
Cryptography Misuse
Beyond "use AES-256": validates IV reuse, key derivation functions, entropy sources, and protocol-level weaknesses.
Second-Order & Stored Attacks
Tracks data that enters a safe store but surfaces unsanitized later — requiring end-to-end tracing across storage layers.
Multi-Language Analysis Engine
Framework-aware AST parsing, inter-procedural taint tracking, and language-specific rule sets — 9,000+ detection signatures across 10 languages, updated weekly.
| Language | Injection | Memory | Crypto | Auth | Deserial. | XSS/CSRF | Race |
|---|---|---|---|---|---|---|---|
| Python | 98% | 40% | 85% | 90% | 89% | 92% | 60% |
| Java | 95% | 55% | 88% | 85% | 97% | 91% | 72% |
| Node.js | 92% | 30% | 82% | 88% | 78% | 94% | 75% |
| Go | 94% | 60% | 86% | 83% | 65% | 80% | 88% |
| C/C++ | 75% | 97% | 78% | 70% | 72% | 65% | 85% |
| PHP | 97% | 35% | 80% | 88% | 91% | 96% | 50% |
| Ruby | 95% | 40% | 82% | 87% | 93% | 89% | 55% |
| .NET | 94% | 50% | 87% | 86% | 96% | 90% | 68% |
| Rust | 88% | 85% | 84% | 78% | 60% | 72% | 82% |
| Swift | 80% | 75% | 95% | 85% | 70% | 78% | 45% |
Security Debt Scoring & Risk Prioritization
Five-signal composite scoring: CVSS severity, EPSS exploit probability, business asset criticality, code reachability, and vulnerability age — unified into a single actionable risk score.
| ID | Component | CVSS | EPSS % | Biz Impact | Age | Composite | SLA |
|---|---|---|---|---|---|---|---|
| SCR-001 | AuthController.java | 9.8 | 78.3% | 9.5 | 14d | 9.4 | BREACH |
| SCR-007 | PaymentService.py | 8.1 | 52.1% | 9.8 | 8d | 8.9 | 3 days |
| SCR-012 | UserAPI/routes.ts | 7.5 | 31.4% | 7.2 | 21d | 7.3 | BREACH |
| SCR-019 | FileUpload.php | 8.8 | 18.7% | 6.1 | 5d | 7.1 | 12 days |
| SCR-031 | ReportGen.go | 5.3 | 9.2% | 7.8 | 45d | 6.2 | BREACH |
CI/CD Security Gate Integration
Automated security checks with PR feedback, build gates, and developer-friendly actionable findings.
Build Gates
- Fail on Critical/High
- Configurable thresholds
- Trend analysis
- Exception workflows
PR Comments
- Inline vulnerability markers
- Auto-remediation suggestions
- CWE/CVSS references
- Blame awareness
Reporting
- Dashboard metrics
- Trend reports
- SLA tracking
- Compliance export
Sample PR Check Output
AI-Assisted Secure Code Analysis
Context-aware static analysis that understands data flow, auth logic, and business intent — not just pattern matching. Senior security engineer-level reasoning at machine speed.
Traces tainted input from HTTP layer through function calls to sinks (SQL, shell, file, DOM). Understands aliases, wrappers, and ORM abstractions.
Goes beyond regex patterns — understands business context, auth boundaries, and access control intent. Detects logic errors that rule-based scanners cannot see.
Complete coverage of injection, broken auth, cryptographic failures, IDOR, SSRF, XXE, and 699+ CWE categories with context-aware exploitation assessment.
Continuous DevSecOps Scanning
Security runs alongside development — not after it. Every commit triggers an automated security gate that blocks vulnerable code before it reaches production.
Secret & Credential Detection
Detect API keys, tokens, passwords, and certificates exposed in source code — including full git history. Auto-revoke, alert, and rotate before attackers exploit the window.
Dependency & Supply Chain Security
Software Composition Analysis that maps your full dependency tree, identifies CVEs, tracks exploit availability, and generates SBOM for compliance. XZ Utils won't happen to you.
Real-time NVD/OSV/GitHub Advisory feed. EPSS scores show actual exploit probability. Patch available tracking with auto-upgrade PRs.
Produce CycloneDX or SPDX SBOMs for regulatory compliance (EO 14028, EU CRA). Full transitive dependency coverage across 20+ package ecosystems.
Detect typosquatted packages, dependency confusion attacks, malicious maintainer takeovers, and XZ Utils-style injected backdoors in CI.
Code Flow & Data Flow Analysis
Track every data path from user input to sink — SQL queries, shell commands, file ops, HTTP calls, DOM writes. Find injection vulnerabilities that flow analysis misses at rule level.
Business Logic & Authorization Security
Most scanners miss broken access control, IDOR, and privilege escalation — the most exploited vulnerabilities in production. We find what automated tools can't: flawed business intent.
def get_order(order_id):
return Order.objects.get(id=order_id) # No ownership check!def get_order(order_id, user):
return Order.objects.get(id=order_id, user=user) # ✓ Fixeddef update_user(user_id, data):
user.update(**data) # Allows role: "admin" in payload!ALLOWED = ["name","email","phone"] # whitelist
user.update(**{k:v for k,v in data.items() if k in ALLOWED})@app.route("/api/admin/export-users")
def export_users(): # No auth decorator!@login_required @admin_required def export_users(): # ✓ Protected
AI Auto-Fix & Guided Remediation
Context-aware AI generates secure code patches, opens fix PRs automatically, and provides developer-friendly explanations — cutting remediation time from days to minutes.
AI Risk Scoring & Smart Prioritization
CVSS alone isn't enough. Our AI weights exploitability, reachability, asset criticality, and business context to surface the 5% of findings that represent 95% of real risk.
Code Review & Security Collaboration
Inline PR annotations, developer security coaching, and async collaboration tools that embed security into the developer workflow — building secure culture at scale.
Using == for string comparison leaks timing information. Attackers can enumerate valid usernames by measuring response time differences.
filename parameter is not sanitized. Attacker can write to arbitrary paths using ../../../etc/cron.d/backdoor
AI-Powered Code Intelligence
Architecture-aware AI models that understand your codebase holistically — predicting vulnerabilities before they're written, mapping attack surfaces across microservices, and reasoning about security at system scale.
Models understand your full service graph — API gateways, databases, message queues, and trust boundaries. Detects cross-service attack paths invisible to file-level scanners.
Trained on 10M+ vulnerability patterns. Flags code that looks like pre-vulnerability states — before the bug is exploitable. Catches patterns that lead to vulnerabilities statistically.
AI security agents that run full threat models on PRs, simulate attacker perspective, chain multi-step exploit paths, and produce STRIDE threat analysis in seconds.
Source Code Review FAQ
Frequently asked
questions.
answered
We support 10+ programming languages including Python, Java, Node.js, Go, C/C++, PHP, Ruby, .NET, Rust, and Swift. Our analysis covers framework-specific vulnerabilities for Django, Spring, Express, Laravel, Rails, ASP.NET, and more, ensuring context-aware detection tailored to your tech stack.
SAST excels at finding known vulnerability patterns at scale (injection, weak crypto, insecure deserialization). Manual review catches business logic flaws, authorization bypass patterns, race conditions, and design-level security issues that automated tools miss. We combine both for comprehensive coverage.
Automated SAST analysis completes in minutes to hours depending on codebase size. Manual expert review typically takes 3-7 business days for standard applications. Express reviews available for critical security assessments.
Code remains encrypted in transit and at rest. Our SOC2 Type II certified infrastructure ensures no code retention post-analysis. We sign NDA agreements and support on-premise deployment options for maximum confidentiality.
Our distributed SAST engine processes large repositories in parallel, with intelligent scope definition and incremental scanning for CI/CD. For full reviews, we prioritize high-risk components using AST-based complexity analysis and historical vulnerability patterns.
We provide findings in multiple formats: GitHub PR comments with inline annotations, dedicated security reports with CVSS scores, and automated remediation suggestions. Our developer-friendly format includes real-world exploitation context, OWASP/CWE references, and prioritized fix guidance.
Yes. We integrate with GitHub, GitLab, Bitbucket, Jenkins, CircleCI, GitHub Actions, and custom webhooks. Our security gates fail builds on critical/high severity findings with configurable thresholds. Results appear as PR comments, build reports, and dashboard metrics.
Our expert reviewers hold OSINT, CEH, GIAC, and Security+. Many are published security researchers with contributions to open-source tools. Minimum 5+ years AppSec experience required for reviewer certification.