DevSecShield is a unified, AI-powered Devsecops assistant designed to provide comprehensive security analysis across multiple dimensions of modern software development. From traditional application security to cutting-edge AI/ML systems, DevSec Shield delivers automated vulnerability detection and actionable remediation guidance. It is a comprehensive security scanning platform that automates vulnerability detection and security intelligence across the entire software development lifecycle. Built with AI-powered analysis capabilities, it provides deep insights into security risks and actionable remediation guidance for traditional applications, AI/ML systems, and infrastructure configurations.
🌟 Key Highlights:
- 🤖 AI-Powered Analysis: Chat with your scan results for instant, contextual security insights
- 📊 Interactive Dashboards: Visualize security trends and vulnerability patterns with insightful analytics
- 📄 Professional Reports: Export comprehensive PDF reports for audits and documentation
- 🔄 CI/CD Integration: Automated SAST scanning in your development pipelines
- 🌐 DAST Scanning: Dynamic testing of running applications to find runtime vulnerabilities
- About
- Core Mission
- Key Capabilities
- Security Frameworks & Methodologies
- Target Users
- Feature Overview
- 1. Static Application Security Testing (SAST)
- 2. Software Composition Analysis & Software Bill of Materials (SCA + SBOM)
- 3. Infrastructure as Code (IAC) Security Scanning
- 4. MCP Server Vulnerability Scanning
- 5. LLM Security Benchmarking
- 6. CI/CD Integration
- 7. AI-Powered Security Chatbot & Interactive Analysis
- 8. Dynamic Application Security Testing (DAST)
- 9. Red Teaming & Attack Surface Module
- Reporting, Dashboards & Analytics
- Security Measures & Data Protection
- Example Workflows & User Benefits
- Use Cases
- Support
DevSec Shield is a comprehensive security scanning platform that automates vulnerability detection and security intelligence across the entire software development lifecycle. Built with AI-powered analysis capabilities, it provides deep insights into security risks and actionable remediation guidance for traditional applications, AI/ML systems, and infrastructure configurations.
To transform complex, manual security challenges into automated, actionable insights—empowering development teams to move faster, safer, and with confidence. DevSec Shield brings in-depth, practical security to every step of your development and deployment lifecycle.
- 🔍 Multi-Dimensional Security Scanning: Comprehensive coverage across code, dependencies, infrastructure, and AI systems
- 🤖 AI-Enhanced Analysis: Large Language Model-powered explanations and remediation guidance for every finding
- 💬 Chat with Your Scan Results: Interactive AI chatbot that lets you query scan outputs in natural language for instant insights
- 📊 Interactive Dashboards: Visual analytics and insightful dashboards showing trends, distributions, and security posture metrics
- 📄 Professional PDF Reports: Export comprehensive, branded PDF reports for audits, compliance, and stakeholder communication
- 🔄 CI/CD Integration for SAST: Automated SAST scanning integrated directly into your CI/CD pipelines
- 🌐 DAST (Dynamic Application Security Testing): Scan running applications for runtime vulnerabilities and exposure risks
- 🎯 Unified Security View: Centralized dashboard showing all security findings across different scan types with severity prioritization
Overview
DevSec Shield provides secure, isolated scanning environments for all repository integrations. Each scan type—SAST, IAC, SBOM + SCA—runs in dedicated, sandboxed scan workers to ensure complete isolation and security of your codebase.
How Secure Scanning Works
Key Security Features
- 🔐 Isolated Scan Workers: Each scan type runs in its own secure, isolated environment
- 🛡️ Repository Access Control: Secure authentication and authorization for repository access
- 🔒 Data Isolation: Complete separation between different scan executions
- ⚡ Secure Execution: All scans execute in sandboxed environments with no persistent data storage
- 🚫 No Code Retention: Source code is processed temporarily and never stored permanently
- 🔑 Encrypted Connections: All repository connections use encrypted channels
Supported Scan Types
- 🔍 SAST (Static Application Security Testing): Secure code analysis without code execution
- 🌐 DAST (Dynamic Application Security Testing): Secure scanning of running applications for runtime vulnerabilities
- ☁️ IAC (Infrastructure as Code): Secure scanning of infrastructure configuration files
- 📦 SBOM + SCA (Software Bill of Materials + Software Composition Analysis): Secure dependency analysis and inventory generation
Each scan type maintains its own secure execution environment, ensuring that your codebase remains protected throughout the entire scanning process.
flowchart TD
A[User Input] --> B{Select Scan Type}
B -->|SAST| C[Scan Worker: SAST]
B -->|SCA| D[Scan Worker: SCA]
B -->|IAC| E[Scan Worker: IAC]
B -->|LLM| G[Scan Worker: LLM Benchmarking]
B -->|MCP| I[Scan Worker: MCP Server]
C --> J[Secure Scan Execution]
D --> J
E --> J
G --> J
I --> J
J --> K[Generate Scan Results]
K --> L[Results Populate Chatbot Context]
L --> M[User Can Chat with Scan Results]
M --> N[AI Chatbot with Full Context]
N --> O[Interactive Q&A]
K --> P[Unified Dashboard]
K --> Q[PDF Report Export]
classDef default fill:#1e1e1e,stroke:#4a4a4a,stroke-width:2px,color:#e0e0e0
DevSec Shield aligns with industry-standard security frameworks and methodologies:
- 🛡️ OWASP Top 10: Comprehensive coverage of the most critical web application security risks
- 🔐 OWASP API Security Top 10: Specialized focus on API-specific vulnerabilities
- 🎯 STRIDE Threat Modeling: Structured approach to identifying security threats
- 🔒 Security Engineers: Deep vulnerability analysis and security assessment
- ⚙️ DevSecOps Teams: Automated security integration into CI/CD pipelines
- 🤖 AI/ML Engineers: Specialized security testing for LLMs and AI agents
- ☁️ Infrastructure Engineers: IAC security validation and cloud configuration auditing
- 👨💻 Development Teams: Early-stage vulnerability detection and remediation guidance
Overview
Static Application Security Testing analyzes source code without executing it, identifying security vulnerabilities, code quality issues, and potential security risks early in the development lifecycle.
Demo Video (SAST Dashboard)
SAST.Demo.comp.1.mp4
Capabilities
- 🌐 Multi-Language Support: Comprehensive scanning for 10+ programming languages including Python, JavaScript, Java, C/C++, PHP, Ruby, Rust, Swift, C#, and Kotlin
- 🔍 Deep Code Analysis: Identifies security vulnerabilities, injection risks, authentication flaws, cryptographic weaknesses, and insecure coding patterns
- 📍 Contextual Findings: Each vulnerability includes exact file location, line numbers, code snippets, and severity classification
- 🛡️ OWASP Mapping: Automatic mapping of findings to OWASP Top 10 categories with detailed explanations
How It Works
Each SAST scan is executed securely in a dedicated scan worker, processing user-submitted code repositories or uploads to identify security vulnerabilities and generate comprehensive reports.
Output
- 📋 Detailed vulnerability reports with severity levels (Critical, High, Medium, Low)
- 📍 Exact code locations with highlighted snippets
- 💡 AI-generated remediation recommendations
- 📄 Exportable PDF reports for documentation
Use Cases
- ✅ Pre-commit security checks
- 🤖 Code review automation
- 📚 Security training and awareness
- 🔄 Legacy code security assessment
Overview
Software Composition Analysis identifies vulnerabilities in third-party dependencies and open-source components, while generating a comprehensive Software Bill of Materials (SBOM) that catalogs all software components and their relationships.
Capabilities
- 🔍 Dependency Vulnerability Detection: Scans package managers and dependency files to identify known vulnerabilities in third-party libraries
- 📦 SBOM Generation: Creates detailed Software Bill of Materials in standard formats, listing all components, versions, and dependencies
- 📜 License Identification: Identifies open-source licenses in dependencies
- 🔄 Version Tracking: Tracks outdated packages and recommends secure versions
- 🌳 Transitive Dependency Analysis: Analyzes the entire dependency tree, including nested dependencies
How It Works
Each SCA scan is executed securely in a dedicated scan worker, analyzing dependency files to identify vulnerabilities, generate SBOMs, and assess license compliance.
Output
- 📦 Complete SBOM in standard formats
- 🚨 Vulnerability inventory with CVSS scores
- 📋 Affected package lists with recommended fixes
- 📜 License identification report
- 🌳 Dependency tree visualization
Use Cases
- 🔗 Supply chain security management
- 📜 License identification and tracking
- 🚨 Vulnerability response planning
- 📊 Software inventory management
Overview
Infrastructure as Code security scanning analyzes cloud infrastructure configurations defined in code (Terraform, CloudFormation, Kubernetes, etc.) to identify misconfigurations and security gaps before deployment.
Capabilities
- ☁️ Multi-Cloud Support: Analyzes configurations for AWS, Azure, GCP, and other cloud providers
- 🏗️ IAC Framework Coverage: Supports Terraform, CloudFormation, Kubernetes manifests, Dockerfiles, and more
- ✅ Security Best Practices: Validates against cloud security best practices and CIS benchmarks
- 🔍 Misconfiguration Detection: Identifies exposed resources, weak access controls, encryption gaps, and insecure defaults
How It Works
Each IAC scan is executed securely in a dedicated scan worker, analyzing infrastructure configuration files to identify misconfigurations and security gaps.
Output
- 📋 Misconfiguration inventory with severity levels
- ☁️ Cloud-specific security recommendations
- 🔧 Configuration fix suggestions
- 🎯 Risk prioritization matrix
Use Cases
- ✅ Pre-deployment infrastructure validation
- 🛡️ Cloud security posture management
- 📜 Security policy enforcement
- 🌐 Multi-cloud security assessment
Overview
Model Context Protocol (MCP) Server Vulnerability Scanning analyzes MCP servers to identify security vulnerabilities, insecure tool configurations, and potential attack vectors in AI agent infrastructure.
Capabilities
- ⚙️ Server Configuration Analysis: Evaluates MCP server configurations for security issues
- 🔧 Tool Security Assessment: Analyzes tools exposed by MCP servers for potential security risks
- 🔓 Protocol-Level Vulnerabilities: Identifies vulnerabilities in MCP protocol implementation
- 🔐 Access Control Validation: Checks for proper authentication and authorization mechanisms
- 🎯 Risk Categorization: Classifies findings by severity (Critical, High, Medium, Low)
How It Works
Each MCP server scan is executed securely in a dedicated scan worker, analyzing server configurations and testing endpoints for security vulnerabilities.
Output
- 📋 Server-level and tool-level vulnerability reports
- 🚨 Severity-classified findings
- 🔧 Tool capability analysis
- 💡 Security recommendations
- 🔧 Configuration fix suggestions
Use Cases
- ✅ MCP server security validation
- 🔍 AI infrastructure security auditing
- 🚀 Pre-deployment security checks
- 🔬 Security research and assessment
Overview
LLM Security Benchmarking performs comprehensive security testing of Large Language Models to identify vulnerabilities such as prompt injection, jailbreaking, data leakage, and other AI-specific security risks.
Capabilities
- 🧪 Comprehensive Probe Suite: Tests against 30+ security probes covering various attack vectors
- 🌐 Multi-Provider Support: Supports OpenAI, Anthropic, Google Gemini, and custom LLM endpoints
- 🎯 Probe Categories: Includes prompt injection, jailbreaking, data extraction, toxicity, encoding attacks, and more
- 🛡️ OWASP LLM Top 10 Mapping: Automatically maps findings to OWASP LLM Top 10 vulnerabilities
Probe Categories
- 💉 Prompt Injection: Tests for prompt injection vulnerabilities and system prompt leakage
- 🔓 Jailbreaking: Attempts to bypass safety mechanisms and content filters
- 📤 Data Extraction: Tests for training data extraction and memorization
⚠️ Toxicity & Bias: Evaluates model responses to toxic or biased inputs- 🔤 Encoding Attacks: Tests for vulnerabilities in input encoding and parsing
- 🦠 Malware Generation: Assesses risk of malicious code generation
- ➕ And many more...
How It Works
Each LLM security benchmark scan is executed securely in a dedicated scan worker, running comprehensive security probes against Large Language Models to identify vulnerabilities such as prompt injection, jailbreaking, and data leakage.
Output
- 📋 Comprehensive vulnerability report per probe
- 🛡️ OWASP LLM Top 10 mapping
- 📊 Model security score
- 💡 Remediation recommendations
Use Cases
- ✅ LLM security validation before production deployment
- 🤖 AI safety assessment
- 🔬 Security research and benchmarking
- 📈 Continuous security monitoring
Overview
CI/CD Integration enables automated SAST (Static Application Security Testing) scanning directly within your continuous integration and continuous deployment pipelines. Get real-time security feedback during development, ensuring vulnerabilities are caught before they reach production.
🌟 Featured: Automated SAST in Your Pipeline
Integrate DevSec Shield's powerful SAST scanning into your existing CI/CD workflows. Every commit, pull request, or deployment can be automatically scanned for security vulnerabilities, providing immediate feedback to your development team.
Capabilities
- 🔗 Multi-Platform Support: Seamlessly integrates with GitHub Actions, GitLab CI, Jenkins, CircleCI, Bitbucket Pipelines, AWS CodePipeline, Azure DevOps, and more
- 🤖 Automated SAST Scanning: Triggers comprehensive SAST scans automatically on code commits, pull requests, or scheduled intervals
- 🔌 API-Based Integration: RESTful API for programmatic scan initiation and result retrieval
- 📦 Zip File Upload: Supports scanning of code packaged as ZIP files for maximum flexibility
- ⚡ Real-Time Results: Provides immediate scan results for fast feedback loops
- 🛡️ Security Gates: Block deployments or merges based on severity thresholds
Supported Scan Types
- Static Application Security Testing (SAST) - Primary focus for CI/CD integration
- Software Composition Analysis (SCA)
- Infrastructure as Code (IAC) scanning
How It Works
flowchart TD
A[Developer Push/PR] --> B[CI/CD Pipeline Triggered]
B --> C[Code Package as ZIP]
C --> D[DevSec Shield API]
D --> E[SAST Scan Execution]
E --> F[Results to Dashboard]
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Output
- 📋 JSON-formatted scan results via API for programmatic access
- 🚨 Vulnerability counts by severity level (Critical, High, Medium, Low)
- 📍 Detailed findings with code locations for integration into CI/CD dashboards
- 📊 Scan status and completion notifications
- 🔗 Direct links to full reports in DevSec Shield dashboard
Benefits
- ✅ Shift-Left Security: Catch vulnerabilities early in the development cycle
- ✅ Automated Workflow: No manual intervention required
- ✅ Fast Feedback: Get results within minutes, not hours
- ✅ Policy Enforcement: Automatically enforce security policies across all deployments
- ✅ Developer-Friendly: Clear, actionable feedback directly in your pipeline
Use Cases
- Automated security gates in CI/CD pipelines
- Pre-merge security validation for pull requests
- Continuous security monitoring across all repositories
- DevSecOps automation and security-as-code practices
- Security policy enforcement at the pipeline level
Overview
The AI-Powered Security Chatbot revolutionizes how you interact with your scan results. Instead of reading through static reports, you can now chat directly with your scan outputs to get instant, contextual answers to your security questions. This conversational interface makes security analysis accessible to both technical and non-technical team members.
🌟 Key Feature: Chat with Your Scan Results
Transform your scan outputs into an interactive conversation. Simply ask questions about any vulnerability, risk, or finding, and get intelligent, context-aware responses powered by advanced AI analysis.
Capabilities
- 💬 Chat with Scan Outputs: Directly interact with your scan results through natural language - ask questions, get explanations, and dive deep into any finding
- 🧠 Contextual Understanding: The chatbot understands your complete scan context, including all vulnerabilities, their relationships, and affected code areas
- 🗣️ Natural Language Queries: Ask questions in plain English like "What's the most critical vulnerability?" or "How do I fix this SQL injection?"
- 💡 Intelligent Remediation Guidance: Get step-by-step, code-specific remediation instructions tailored to your exact findings
- 📜 Conversation History: Maintains full conversation context for follow-up questions and deep exploration
- ⚡ Real-Time Analysis: Get instant responses with streaming output for faster insights
How It Works
flowchart LR
A[Scan Completes] --> B[Results Generated]
B --> C[AI Chat Interface Opens]
C --> D[User Asks Question]
D --> E[Context Analysis]
E --> F[Scan Results + AI]
F --> G[Contextual Response]
G --> H[Follow-up Questions]
H --> E
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Example Interactions
- "Show me all critical vulnerabilities in my Python code"
- "Explain why this SQL injection is dangerous and how to fix it"
- "What's the security impact of this exposed API key?"
- "Compare vulnerabilities across my last 3 scans"
- "Generate a remediation plan for high-severity findings"
Features
- ✅ Real-time streaming responses for instant feedback
- ✅ Full scan context awareness - understands all your findings
- ✅ Code-specific remediation suggestions with examples
- ✅ Multi-language support for global teams
- ✅ Conversation history management and export
- ✅ Integration with dashboard and PDF reports
- ✅ Security education and learning mode
Use Cases
- 🧠 Understanding Complex Vulnerabilities: Get explanations of security issues in simple terms
- ⚡ Rapid Remediation: Get instant, actionable fix recommendations
- 📚 Security Education: Learn about security concepts through interactive Q&A
- 👥 Team Collaboration: Share insights and explanations with team members
- 🎓 Onboarding: Help new team members understand security findings quickly
Overview
Dynamic Application Security Testing (DAST) analyzes running applications in real time to identify runtime vulnerabilities, exposure risks, and security issues that only appear when the application is executed. DAST complements SAST by testing the live system from the outside, simulating how an attacker would probe the application.
Capabilities
- 🌐 Runtime Vulnerability Detection: Identifies vulnerabilities in running web applications and APIs
- 🔍 Black-Box Testing: Scans applications without access to source code, simulating real-world attacks
- 📍 OWASP Coverage: Tests for OWASP Top 10 and API Security Top 10 issues in live environments
- ⚡ Exposure & Misconfiguration: Detects exposed endpoints, insecure headers, and configuration issues
Output
- 📋 Runtime vulnerability report with severity levels
- 🔗 Exposed endpoint and API findings
- 💡 Remediation recommendations for runtime issues
Use Cases
- ✅ Pre-production security validation
- 🌐 Web application and API security testing
- 🛡️ Continuous runtime security monitoring
Overview
The Red Teaming module is a dedicated workspace for continuous attack-surface mapping, offensive security assessments, and operator oversight. It ties together discovery pipelines, a live knowledge graph of entities and relationships, asset inventory, active sessions/jobs, and an AI-assisted assessment assistant—so teams can plan, run, and review red-team operations in one place.
Demo Video (Red Teaming & Attack Surface Module):
2a08a543-2665-40cc-8946-cfd8fbb04560.mp4
Scans available (this module)
| Scan | What it does | What it helps with |
|---|---|---|
| Reconnaissance | Phased external discovery against your scoped target (hosts, DNS, HTTP surface, technologies, and related signals—fed into the graph). | See what is exposed before an attacker does: inventory subdomains, IPs, services, and web entry points; prioritize what to harden or test next. |
| Network vulnerability scanning | Authenticated network and service checks against targets in scope (results tied into the graph). | Validate weaknesses on live services: CVE-oriented and configuration findings to patch or segment, complementing recon with scanner-grade evidence. |
| Repository exposure analysis | Search-oriented workflow for public (and configured) repository signals such as secrets, sensitive files, and repo metadata—aligned to your program settings. | Reduce credential and data-leak risk from accidental commits and misconfigured repos that could enable follow-on attacks. |
In short: these scans turn raw external and repo-facing risk into a single, explorable model (graph + tables), so teams can discover, validate, and communicate exposure without juggling separate tools for each step.
Workspace & Navigation
- 📑 Multi-view console: Overview, Attack Surface (graph), Assets (tabular inventory), and Assessments (sessions and jobs) in a single flow
- 📌 Collapsible side navigation to maximize canvas space while keeping core views one click away
- 🖥️ Dedicated consoles for pipeline logs (reconnaissance, network vulnerability scan, and repository exposure analysis) available from the sidebar whenever you need them
Overview Dashboard
- 🎯 Mission summary for the active target: scope, stealth posture, and high-level status
- 📊 Risk and exposure visuals: charts for exposure trends, surface composition, and severity mix
- 🏆 Top exposed assets surfaced for quick review
- ⚙️ Operational coverage: start runs, open live logs, and download structured outputs for reconnaissance, network vulnerability scanning, and repository exposure workflows
- 🤖 Live operations panel for active automation and agent-driven runs
- 🔗 Quick navigation into graph, assets, and assessments views
Attack Surface (Graph)
- 🕸️ Interactive graph of discovered entities and relationships (infrastructure, applications, findings, and related context)
- 🧊 2D and 3D graph modes with optional node labels
- 🔎 Search and preset filters (e.g. subdomains, IPs, vulnerabilities, infrastructure classes) plus per-type visibility controls
- 📍 Node detail drawer for inspecting properties and pivoting into follow-on work
- 🎨 Risk-aware presentation (e.g. emphasis on high-severity findings)
Assets
- 📋 Sortable, filterable table of graph-backed entities and connections
- 🔍 Global search across the inventory
- 📤 Export to spreadsheet (e.g. Excel) for reporting or offline analysis
- 🔗 View in graph to see an asset in relationship context
Assessments
- 🧵 Session and job visibility for ongoing offensive workflows (e.g. handler sessions, background jobs, and related operator actions)
- 🎮 Operator controls for kill/stop and (for supported sessions) upgrade actions
Discovery & Scanning Pipelines
- 🛰️ Reconnaissance pipeline: phased external discovery with confirmation before destructive refresh, live log streaming, and JSON export of results
- 🔬 Network vulnerability scanning: guided start with safeguards when replacing prior results, live logs, and downloadable outputs
- 🐙 Repository exposure analysis: hunt workflow for repository-related findings with logs and export
AI Assessment Assistant
- 💬 Real-time chat with streaming responses and structured tool and timeline presentation
- 📚 Conversation history and session switching for long-running assessments
- 🧭 Multi-phase assessment model (e.g. informational, exploitation, post-exploitation phases) aligned to how operators work
- 🥷 Stealth-oriented options where configured for lower-noise collection
- 🔗 Graph-aware context so answers align with the current attack-surface model
Typical Use Cases
- 🗺️ Map and communicate external attack surface from a single target or program
- 🧪 Coordinate red-team discovery and validation alongside operator sessions
- 📣 Brief stakeholders using overview visuals and exported inventories
- 🤝 Hand off from discovery to AI-guided analysis and, where enabled, structured remediation
Overview
DevSec Shield provides comprehensive, interactive dashboards that transform your security scan results into actionable visual insights. Track trends, identify patterns, and make data-driven security decisions with our powerful analytics platform.
Key Dashboard Features
- 🎯 Unified Security View: Centralized dashboard showing all scan results across different scan types (SAST, DAST, SCA, IAC, LLM, etc.)
- 🚨 Severity Prioritization: Visual representation of vulnerabilities by severity level with color-coded indicators
- 📈 Trend Analysis: Track security posture over time with historical charts and trend lines
- 📊 Vulnerability Distribution: Pie charts and bar graphs showing vulnerability distribution by type, severity, and location
- 📜 Scan History: Complete timeline of all scans with status, duration, and results summary
- 🔍 Filtering & Search: Advanced filtering options to focus on specific scan types, severity levels, or date ranges
- ⚡ Real-Time Updates: Live updates as scans complete with instant dashboard refresh
Dashboard Analytics
- 📊 Security Score: Overall security score calculated from all scan results
- 📈 Vulnerability Trends: Track improvement or degradation over time
- 📁 Most Affected Files: Identify files with the highest number of vulnerabilities
- 🌐 Language-Specific Analysis: Breakdown of vulnerabilities by programming language
- ✅ Remediation Progress: Track your progress in fixing identified vulnerabilities
- 👥 Team Performance: Security metrics by team, project, or repository
Overview
Export comprehensive, professional-grade PDF reports for documentation, audits, compliance, and stakeholder communication. Our PDF reports include detailed vulnerability findings, remediation guidance, and executive summaries.
Report Features
- 📋 Executive Summary: High-level overview of security posture for stakeholders
- 🔍 Detailed Findings: Complete list of all vulnerabilities with descriptions, locations, and severity
- 💻 Code Snippets: Relevant code snippets highlighting vulnerable areas
- 💡 Remediation Guidance: Step-by-step recommendations for fixing each vulnerability
- 📊 Visual Charts: Graphs and charts showing vulnerability distribution and trends
- 🛡️ OWASP Mapping: Mapping of findings to OWASP Top 10 categories
- 🎨 Custom Branding: Add your organization's branding and logo
- ✅ Compliance Reports: Generate reports aligned with specific compliance frameworks
Report Use Cases
- 🔍 Security Audits: Comprehensive documentation for internal and external audits
- 📜 Compliance Documentation: Evidence for compliance requirements (SOC 2, ISO 27001, etc.)
- 📊 Stakeholder Reporting: Share security status with management and executives
- 📄 Client Deliverables: Professional reports for security assessments and engagements
- 📚 Historical Records: Maintain records of security assessments over time
- ✅ Remediation Tracking: Document vulnerabilities and track remediation progress
Export Options
- 📋 Full detailed reports with all findings
- 📊 Executive summary reports (high-level overview)
- 🎯 Vulnerability-specific reports (filtered by severity or type)
- 📈 Comparison reports (compare scans over time)
- 🎨 Custom report templates based on your needs
DevSec Shield implements enterprise-grade security measures to protect your data and ensure the highest level of application security:
- Antivirus Scanning: All file uploads are automatically scanned for malware before processing
- File Size Limits: Individual file uploads are limited to prevent resource exhaustion
- Secure File Handling: Files are processed in isolated, temporary environments
- OWASP Top 10 Compliance: DevSec Shield has been thoroughly tested against OWASP Top 10 for API Security vulnerabilities
- Two-Factor Authentication (2FA): Enhanced security for login and signup with 2FA verification
- Secure Authentication: JWT tokens and encrypted session management
- Input Validation: Comprehensive input validation and sanitization to prevent injection attacks
- Rate Limiting: API rate limiting to prevent abuse and ensure service availability
- No Sensitive Data Storage: Repository source code, API keys, and Personal Access Tokens submitted to the application are never stored permanently
- Temporary Processing Only: Sensitive data is used solely to initiate scans and is immediately purged after analysis completion
- Minimal Data Retention: Only essential metadata is retained for record-keeping (repository URLs, scan names, timestamps)
- Encrypted Data Transmission: TLS 1.3 encryption for all communications
- Secure Cloud Infrastructure: Regular security audits and compliance certifications
- Automated Security Monitoring: Real-time threat detection and monitoring
- Regular Penetration Testing: Certified security professionals perform regular security assessments
- Access Controls: Role-based access control and user permission management
- Developer commits code to repository
- DevSec Shield automatically triggers SAST scan
- Dashboard shows vulnerabilities with severity and location
- AI chatbot provides remediation guidance
- Developer fixes issues and re-scans
- Security report generated for documentation
Benefits: Early vulnerability detection, automated remediation guidance, comprehensive security reporting
- AI/ML engineer registers LLM model for assessment
- DevSec Shield runs comprehensive security probes
- Dashboard highlights prompt injection risks and OWASP LLM Top 10 mappings
- AI chatbot explains findings and provides fix recommendations
- Model security improvements implemented
- Re-assessment confirms risk reduction
Benefits: Specialized AI security testing, actionable remediation steps, comprehensive security assessment
- Developer opens pull request
- CI/CD pipeline automatically triggers security scan
- Scan results block merge if critical vulnerabilities found
- Developer receives detailed feedback with fix suggestions
- After fixes, scan passes and merge proceeds
- Security dashboard tracks trends over time
Benefits: Automated security gates, fast feedback loops, security policy enforcement
- Infrastructure engineer commits Terraform configurations
- DevSec Shield scans IAC files for misconfigurations
- Dashboard shows security issues and misconfigurations
- Remediation guidance provided for each finding
- Secure configurations deployed
- Continuous monitoring ensures ongoing security
Benefits: Pre-deployment validation, cloud security best practices, automated security validation
- Security Architecture Reviews: Comprehensive security assessment for new or evolving systems
- DevSecOps Integration: Seamless integration into CI/CD pipelines for automated security checks
- AI/ML Security Validation: Specialized security testing for Large Language Models and AI agents
- Supply Chain Security: SBOM generation and dependency vulnerability management
- Infrastructure Security: Cloud configuration validation and IAC security auditing
- Incident Response: Rapid security assessment and vulnerability identification
- Security Training: Educational tool for understanding security vulnerabilities and best practices
- 📧 General Contact: vartul@zeroshield.ai
- 📧 Support: support@zeroshield.ai
Value Proposition
DevSec Shield transforms complex, manual security challenges into automated, actionable insights—empowering teams to move faster, safer, and with confidence.DevSec Shield brings in-depth, practical security to every step of your development and deployment lifecycle.
All rights reserved. This software and its documentation are the intellectual property of DevSec Shield.