KeygraphHQ/shannon

Features

• Penetration Testing Platforms - Provides an integrated security suite for autonomous penetration testing, static analysis, and vulnerability remediation in private environments.
• Security Orchestration - Orchestrates security findings by consolidating scanners, deduplicating alerts, and correlating static analysis with dynamic runtime exploitation.
• Self-Hosted Security Tools - Provides a self-hosted security platform for air-gapped or private cloud environments to ensure data sovereignty.
• Automated Code Remediation - Generates, validates, and delivers verified code patches directly into development workflows to resolve security flaws.
• Air-Gapped Deployments - Operates entirely within private, air-gapped infrastructure to ensure data sovereignty and security.
• Security Information Management - Consolidates and deduplicates security findings from multiple scanners into a single dashboard to track risk and compliance.
• Reachability Prioritizers - Adjusts vulnerability severity scores based on execution path analysis to focus remediation on confirmed threats.
• Static Analysis Engines - Implements a security engine that traces data flows and executes exploits to confirm reachable vulnerabilities.
• Autonomous Agents - Deploys autonomous agents to execute black-box and white-box exploits for security vulnerability verification.
• Control Flow Analysis - Traces execution paths from user inputs to sensitive sinks using graph-based data flow analysis to identify reachable vulnerabilities.
• Credential Remediation Workflows - Generates verified code patches and integrates them directly into development workflows to resolve security flaws.
• Data Residency Controls - Restricts data processing and storage to specific geographic regions to ensure compliance with data residency requirements.
• Dependency Vulnerability Scanners - Identifies security flaws in third-party dependencies and determines reachability from attacker-controlled inputs.
• Software Supply Chain Security - Identifies reachable vulnerabilities in third-party dependencies and container images to secure the software supply chain.
• Inline Risk Analysis - Correlates static code analysis with dynamic runtime exploitation to provide a unified view of reachable security risks.
• Automated Remediation Strategies - Generates and validates code patches by re-running exploit signals to ensure fixes resolve vulnerabilities before developer review.
• Automated Fix Verifiers - Generates and verifies code-level patches by re-running exploit signals to ensure fixes resolve vulnerabilities.
• Static Analysis - Performs static analysis using data-flow context to identify security flaws within application codebases.
• AI Security Agents - Automates the discovery of web application exploits.
• AI Security and Red Teaming - Autonomous agent for hunting attack vectors in web applications.
• AI Security Frameworks - Autonomous AI-driven penetration testing for web applications and APIs.
• Autonomous Security Agents - White-box AI pentester for automated source code analysis and exploitation.
• Issue Tracking Integrations - Synchronizes security findings and remediation status bidirectionally with external project management and issue tracking tools.
• Daemonless Container Engines - Inspects container image layers as raw archives without requiring a local container runtime daemon.
• Business Logic Security - Analyzes application code to detect business logic deviations like broken access controls and improper state transitions.
• Infrastructure as Code Scanners - Analyzes infrastructure-as-code files to identify security risks like public exposure and IAM misconfigurations.
• Private Data Processing Environments - Deploys security testing tools within isolated environments to keep sensitive source code and analysis data within the local perimeter.
• Secret Detection - Scans code and commit history to identify and prioritize leaked credentials, API keys, and tokens.
• Security Finding Deduplicators - Merges redundant security findings from multiple scanners into single canonical records using content hashing and machine learning.
• Supply Chain Security - Produces compliant software manifests for scanned images to support supply chain transparency.
• Execution Path Visualization - Renders complete execution chains from source to sink with line-by-line code context for vulnerability analysis.
• Platform Workflow Integrations - Integrates directly into source control to deliver verified patches and synchronize remediation status with issue trackers.
• Security Workflow Synchronizers - Maintains consistent security status by automatically syncing findings and remediation progress between scanning tools and external issue trackers.
• Identity Provider Integrations - Integrates with SAML and OIDC identity providers to automate user access management and provisioning.
• Compliance Reporting - Generates exportable compliance reports aligned with industry standards like CIS, NIST, and HIPAA.
• Deduplication Algorithms - Collapses redundant exploit findings into canonical records using content hashing and semantic analysis.
• Security Audit Logs - Records system actions, scan results, and status changes into searchable logs for compliance and incident analysis.
• AI Model Management - Provides configuration management for self-hosted and cloud-based AI models to control data processing and usage.
• Vulnerability Suppressions - Manages risk acceptance by allowing temporary suppression of vulnerabilities with automated expiration and re-opening.
• Metric Dashboards - Visualizes security posture through dashboards monitoring mean time to remediation and discovery velocity.

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