Mythos Readiness: AI Security Solutions for the AI Era

Black Duck offers several AI security solutions that make it easier for organizations to manage the risks introduced by AI-generated code. Powered by ContextAI™, Black Duck’s software security intelligence foundation that combines security research, analytics, and decades of AppSec expertise, these solutions help eliminate oversights, accelerate remediation, and embed security directly into AI-driven development workflows.

• Black Duck Polaris™ Platform combines comprehensive application security testing with AI-driven insights, triage recommendations, and remediation guidance to help developers identify, prioritize, and remediate risks faster. AI-powered triage recommendations identify the issues that matter most, providing confidence ratings and a clear rationale to reduce noise and focus efforts on high-impact vulnerabilities. Developers receive real-time issue summaries, code analysis, and AI-generated remediation guidance directly in their workflows, helping them move from findings to fixes faster while maintaining human oversight and auditability across the software development life cycle.
• Black Duck Signal™ provides agentic AppSec analysis that complements deterministic scans by reasoning over source code to identify vulnerabilities that are hard to detect with deterministic analysis. Scans can be triggered by AI coding assistants and within CI/CD pipelines, providing the highest level of coverage available.
• Code Sight™ IDE Plug-in helps simplify prioritization and accelerate remediation directly in developer and agentic workflows. Key features include AI-powered issue summaries, automated triage, fix suggestions, and fix pull requests for SCA and SAST.

Together these AI code security solutions help organizations match attacker speed with AI-driven defense that  continuously uncovers risk, prioritizes what’s exploitable, and automates remediation to reduce mean time to remediate.

Black Duck secures AI-generated code using a hybrid security approach that combines deterministic application security testing, AI-assisted remediation, and LLM-based security analysis throughout the software development life cycle. This approach helps organizations identify vulnerabilities, reduce application security oversights, and manage the risks introduced by AI coding assistants such as GitHub Copilot, Claude Code, Cursor, ChatGPT, and Google Gemini.

Black Duck’s multiple layers of security testing, including SAST, SCA, DAST, and LLM-based analysis, improves coverage, reduces risk, and optimizes costs. Real-time analysis can be run in the IDE using the Code Sight™ IDE Plug-in, and scans can be executed within agentic workflows, triggered by pull requests in CI pipelines, or performed as part of periodic builds. Results can be integrated into quality gates to ensure compliance with policies.

Black Duck’s AI code security solutions detect a wide range of vulnerabilities introduced by AI-generated code. Traditional code analysis finds injection flaws (SQL injection, cross-site scripting), hardcoded secrets and credentials, insecure deserialization, weak cryptography, vulnerable open source snippets copied from training data, insecure defaults unique to LLM output, and runtime gaps between developer intent and actual behavior. LLM-based scans expand this coverage by finding issues that deterministic analysis misses, such as IDOR and logic-based issues, authentication-related errors, and issues in proprietary programming languages and frameworks. Our solutions can then prioritize the findings based on risk score, exploitability, and severity, and AI-assisted triage automatically identifies false positives to quickly reduce issue backlogs and accelerate mean-time-to-remediation.

AI SAST combines traditional static analysis with AI to return more-accurate findings, reduce false positives, and accelerate fixes. Traditional SAST uses deterministic rules to find known vulnerability patterns but at enterprise scale, manual triage becomes time-consuming, inconsistent across reviewers, and can create bottlenecks that impact developer velocity. Black Duck’s AI-assisted triage reduces these challenges by identifying false positives, recommending actions, and providing confidence scores with explanations for each suggestion. Users can review these recommendations individually or in bulk, keeping human judgement in the loop while still resolving large numbers of issues at once.

Black Duck Signal, built on ContextAI, Black Duck’s software security intelligence foundation, extends application security beyond the limits of traditional SAST tools with AI-powered analysis and language-agnostic scans that run incrementally as code is created, and can be triggered to run as part of continuous integration workflows. By combining the precision of traditional scans with AI-based analysis, organizations receive consistent, auditable results, plus AI-powered detection that expands coverage to more vulnerability classes and all programming languages and frameworks.

Black Duck continuously synchronizes code repositories to ensure all projects and branches adhere to policies and coding standards. Trigger scans on every code change, ensuring complete application security coverage across the full software development life cycle—and that all new projects are automatically identified, including those created by AI coding assistants.

Black Duck Polaris™ Platform unifies SAST, SCA, DAST, container analysis, binary analysis, and API and infrastructure-as-code scanning in a single cloud-native platform, so there are no oversights between testing types. Security governance is managed centrally and applied uniformly via granular policies, with inheritance ensuring consistent enforcement across projects. Event-based test automation ensures every pull request and build triggers the right security assessment. This comprehensive coverage is critical for AI-driven development, where AI-generated code, new dependencies, and configuration changes can introduce risk faster than periodic scanning can catch it. This continuous, policy-driven scanning is the foundation of Black Duck’s AI code security solutions.