Application security is colliding with a new reality: thousands of repositories, globally distributed teams, and a surge of AI-generated code. Today, Black Duck is responding with a major update to its Polaris platform, rolling out enhanced, native integrations across all major source code management (SCM) systems.

The upgraded Black Duck Polaris Platform now delivers built-in integrations with GitHub, GitLab, Azure DevOps, and Bitbucket—not as bolted-on scripts, but as natively engineered connections designed for enterprise scale.

In an era when code is written by both humans and machines, Black Duck is making a clear bet: security has to move at the speed of development, or it becomes irrelevant.

What’s New: Native, Automated, and AI-Aware AppSec

Polaris has long combined static application security testing (SAST), software composition analysis (SCA), and dynamic application security testing (DAST) in a SaaS model. What’s new here is the depth of automation and orchestration across SCM environments.

The enhanced integrations introduce:

• Instant onboarding for thousands of repositories without manual setup

• Continuous synchronization as repos are renamed, branched, or created

• Automated scan triggers on pull request creation, updates, and pre-merge events

• Single-click policy enforcement across large repo estates

• Automatic user and role synchronization

For organizations managing hundreds—or thousands—of repositories, that shift matters. Manual onboarding and piecemeal security tools often lead to blind spots. Polaris now aims to eliminate those gaps by auto-detecting changes across SCM systems and maintaining continuous coverage.

In practical terms, security scans can now trigger automatically during the pull request process, embedding vulnerability detection directly into code review workflows. Developers see findings inside the pull request itself, reducing the need to switch tools or escalate late-stage issues.

That’s DevSecOps without the “Sec” slowing things down.

AI-Powered Security for AI-Generated Code

The rise of generative coding tools has fundamentally changed the attack surface. Enterprises are now grappling with code that may be syntactically correct but security-naïve—or worse, subtly flawed at scale.

Black Duck is leaning into AI to counter AI.

Through Black Duck Signal, organizations can run AI-powered scans directly in the IDE or through CI/CD pipelines, all centrally managed in Polaris. Signal is designed to surface meaningful security insights in both human- and AI-generated code, before it ever makes it into production.

Meanwhile, Code Sight extends that coverage directly into the developer’s desktop environment. It triggers Polaris scans in real time while coding, and when combined with Black Duck Assist’s AI-driven remediation guidance, offers contextual fixes instead of abstract vulnerability reports.

The goal: catch vulnerabilities before commit, not after deployment.

In a market crowded with AI security claims, the differentiator here is workflow placement. Black Duck isn’t just adding AI to dashboards—it’s embedding intelligence at the precise points where code changes happen.

Customizable Scanning for Modern Development Cadence

Another key addition is flexible scanning depth. Teams can opt for:

• Full, deep analysis for comprehensive security checks

• Rapid analysis for ultra-fast feedback in high-velocity workflows

This dual-mode capability reflects a broader industry trend: security must adapt to different pipeline contexts. A hotfix merge doesn’t require the same scanning depth as a major release candidate. Polaris now allows enterprises to tailor scanning to the moment, balancing speed with rigor.

Why It Matters: Scaling DevSecOps Without Adding Friction

Enterprise software development has become massively distributed. Teams are global. Repositories multiply quickly. AI accelerates output. But security headcount doesn’t scale linearly.

That imbalance creates risk.

Black Duck’s enhanced SCM integrations aim to solve the operational bottleneck: instead of manually onboarding projects and enforcing policies repo by repo, organizations can automate coverage across their entire SCM footprint.

The company claims no other solution combines this breadth of SCM support with universal event- and policy-based automation, alongside AI-powered depth of analysis.

While competitors in the AppSec space are increasingly emphasizing platform consolidation and AI assistance, Polaris positions itself as both comprehensive and workflow-native. The strategy reflects a growing realization in the industry: fragmented security tools don’t just slow teams—they create coverage gaps attackers exploit.

The Bigger Picture: AppSec in the Age of Code Explosion

Software supply chains are expanding rapidly. Microservices, third-party libraries, and AI-generated snippets have made applications more modular—and more vulnerable.

At the same time, enterprises are racing to operationalize AI, often across sprawling codebases managed in mixed SCM environments. Security leaders are under pressure to ensure policy consistency across GitHub, GitLab, Azure DevOps, and Bitbucket simultaneously.

By offering unified, automated coverage across all four major SCM platforms, Black Duck is targeting that exact pain point.

The result isn’t just tighter integration. It’s an attempt to make security ambient—always present, always synchronized, and invisible until needed.

If Polaris delivers on its promise, enterprises may finally be able to scale DevSecOps without scaling friction alongside it.

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