Static Code Analysis
Find and Fix Defects Before They Ship, With Agentic AI
Go beyond traditional linting and lightweight open-source scanning. Parasoft delivers deep static analysis with advanced flow analysis, compliance-ready rule sets, customizable rulesets, and AI-native remediation workflows built for enterprise-scale development.
Enterprise static analysis
- Deep analysis
Pattern, metric, and execution flow insights - Agentic remediation
MCP-enabled scan, fix, and validation workflows - Compliance ready
Built-in standards and audit evidence - Continuous feedback
IDE and CI/CD enforcement at enterprise scale
Deep Analysis and Agentic Remediation
Find defects earlier, focus teams on the greatest risks, and govern AI-assisted remediation from the IDE through CI/CD.
Three Layers of Deep Analysis
Go beyond lightweight scanning with complementary analysis techniques that reveal coding flaws, structural risk, and defects hidden across execution paths.
- Pattern-based analysis finds insecure patterns, API misuse, and exception handling issues
- Metric-based analysis measures complexity, maintainability, duplication, and architectural risk
- Flow-based analysis detects null pointers, leaks, deadlocks, division by zero, and array boundary issues
MCP Server for Autonomous Remediation
Integrate static analysis into external LLM clients and agentic development workflows through MCP servers. Autonomous quality automation runs scans, generates, applies, and validates fixes before routing results to developers for approval.
- Human review remains part of governance
- Validated fixes before developer approval
- External LLM and agentic workflow integration
Continuous Analysis Across IDEs and CI/CD
Deliver immediate feedback during active development with live analysis in Eclipse, Visual Studio, VS Code, and IntelliJ, backed by automated enforcement in delivery pipelines.
- Jenkins and GitHub Actions
- GitLab and Azure DevOps
- Consistent local and pipeline analysis
Intelligent Prioritization
Surface the highest-risk violations first using historical analysis and contextual quality insights. Centralized analytics and customizable rulesets accelerate triage across teams.
- Contextual quality insights
- Centralized analytics
- Customizable rulesets
Compliance-Ready Reporting
Generate audit-ready compliance evidence mapped to industry standards. Centralized DTP dashboards track findings, trends, and remediation activity.
- Audit-ready evidence
- Finding and trend dashboards
- Remediation activity tracking
Security Standards Built In
Apply OWASP, CWE, CERT, PCI DSS, DISA ASD STIG, HIPAA, and UL 2900 coverage across Java and C#/.NET, plus CERT C, CERT C++, CWE, and OWASP for C/C++.
- Security-focused rulesets
- Language-specific standard coverage
- Enterprise SAST governance
By Language
Purpose-built analysis engines provide extensive quality, security, and compliance coverage for each development stack.
Enterprise Quality Without Compromise
Combine developer-speed feedback with centralized control, analytics, and audit-ready evidence.
Earlier Defect Prevention
Detect runtime risks and insecure coding patterns while code is still inexpensive to change.
Human-Governed Automation
Let agents scan and validate fixes while developers retain review and approval authority.
Consistent Enforcement
Use the same customizable rulesets across IDEs, teams, and CI/CD pipelines.
Centralized Visibility
Track quality trends, compliance evidence, and remediation activity through DTP.