Start with developer-led security
Build secure applications from the start by providing early, actionable insights to developers for both developer-written and AI-generated code.
The risks of not integrating security and code quality
When code security and quality are evaluated separately, security vulnerabilities are found late in development that lead to costly delays. If missed, these issues can create opportunities for malicious actors. This "bolted-on" approach to security tools creates friction and can't keep pace with modern development.
Late vulnerability discovery
Finding security issues just before release causes fire drills, missed deadlines, and increased risk.
Developer burden
Developers are often held responsible for security without adequate tools or training, disrupting their workflow with out-of-band reviews.
Varying security awareness
Without a consistent standard, security adherence varies widely across development teams and AI tools.
Hidden risks
Security vulnerabilities can hide in open-source dependencies, IaC configurations, or AI-generated source code, creating blind spots.
SonarQube’s developer led, integrated approach to security
SonarQube empowers a "shift-left" approach by integrating security directly into the development process. We help you build secure applications from the start by providing early, actionable insights to your developers.
Real-time security feedback
Get automated feedback on the latest security best practices before committing source code, preventing security vulnerabilities from the start.
Proactive vulnerability prevention
Move from a reactive to a proactive security posture, addressing issues when they are easiest and cheapest to fix.
Comprehensive security coverage
Go beyond your own code with analysis of open source libraries and IaC to secure your production environments.
“SonarQube has significantly impacted our code coverage, security gating, effective & deep security & quality scans with effective vulnerability remediation guidance”
Geoff Hughes
Senior Manager
Key capabilities for developer-led security
Infrastructure-as-Code (IaC) scanning
Helps you find and fix misconfigurations and security risks in your Terraform, Kubernetes, and Ansible files
Built-in reports for security standards
Generates reports for key security standards like OWASP Top 10, CWE Top 25, STIG, and PCI DSS
Software Composition Analysis (SCA)
Identifies risks from open-source dependencies and generates a Software Bill of Materials (SBOM) (available with SonarQube Advanced Security)
Static Application Security Testing (SAST)
Detects vulnerabilities like injection flaws and security misconfigurations
Data flow / taint analysis
Identifies and eliminates injection vulnerabilities by tracking the flow of untrusted user data through your application
Detection of hard-coded secrets
Prevents accidental exposure of sensitive information like API keys, passwords, and tokens
Why choose SonarQube for integrated code quality and code security?
With the explosion of AI-generated content and open source reuse, the security surface for critical vulnerabilities has never been greater. Taking a robust developer-led security stance ensures that modern threats are identified and addressed as code is written, not after the fact.
Developer-led security
We empower developers with the tools they need to own security in their daily workflow.
Low false positives
Our highly accurate analysis ensures developers focus on real threats, not noise.
Platform-wide visibility
Get a consolidated view of the security health of all your code in a single place.
What is developer-led security?
Developer-led security means integrating security directly into the development process , wherever code is actually written. That might be a developer in an IDE, a command run from a CLI, or an autonomous AI agent generating code end-to-end. SonarQube meets code at each of these points, identifying and addressing issues as they're created rather than after the fact.
Is developer-led security the same as shift-left security?
Developer-led security is Sonar's approach to shift-left security. As development increasingly happens through IDEs, CLIs, and AI agents rather than only manual editing, "shifting left" means pushing verification into all of those surfaces and not just a traditional pre-commit hook so issues are caught at the moment of creation regardless of who or what created them.
Why should security be integrated with code quality?
Evaluating security and code quality separately means vulnerabilities often surface late in development, causing delays, missed deadlines, and increased risk. Integrating the two lets teams catch and address issues earlier in the workflow, before they become costly fire drills.
How does SonarQube help prevent vulnerabilities?
SonarQube provides early, actionable feedback before code is committed. It helps developers follow security best practices and fix issues when they are easier and cheaper to resolve. This shifts teams from reactive remediation to proactive prevention.
Does SonarQube support AI-generated code?
Yes. SonarQube analyzes developer-written and AI-generated code against the same rules and standards, giving teams one consistent bar regardless of who, or what wrote the code. This matters as AI-generated code expands the security surface faster than manual review processes can keep pace with.
Does SonarQube support AI-generated code the same way it supports developer-written code?
Yes. The same rules, standards, and security checks — SAST, secrets detection, IaC scanning, taint analysis — apply to developer-written and AI-generated code alike, whether that code came from a human, a CLI script, or an agent. This matters because AI-generated code is expanding the security surface faster than manual review alone can keep pace with.
Does SonarQube scan open-source dependencies in agentic workflows too?
Yes, through Software Composition Analysis (SCA), available with SonarQube Advanced Security and accessible through SonarQube CLI as well, so dependency risk can be checked in the same terminal or agent-driven flow as everything else, not just in a separate CI stage.
What types of security issues can SonarQube detect?
Through Static Application Security Testing (SAST), SonarQube detects issues like injection flaws and security misconfigurations in your own code, plus hard-coded secrets and risks in infrastructure-as-code files. It also performs data flow / taint analysis to track untrusted user data through an application and catch injection vulnerabilities.
Does SonarQube scan open-source dependencies?
Yes, through Software Composition Analysis (SCA), available with SonarQube Advanced Security. It identifies risks from open-source dependencies and generates a Software Bill of Materials (SBOM), extending coverage beyond your own source code.
What security standards does SonarQube report on?
SonarQube generates reports for key security standards such as OWASP Top 10, CWE Top 25, STIG, and PCI DSS. These reports help teams document and monitor code security alignment. They also support visibility into security posture across projects.
How does SonarQube reduce developer burden?
By delivering security feedback inside developers' normal workflow, SonarQube reduces reliance on disruptive, out-of-band security reviews. Its analysis is tuned for a low false-positive rate, so developers spend time on real threats, not noise.
What is SonarQube’s approach to infrastructure-as-code security?
SonarQube finds and fixes misconfigurations and security risks in Terraform, Kubernetes, and Ansible files, extending security analysis beyond application code to the configurations that support production environments.