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fix generation and validation, and submits every change for human review before it is merged. Signal Agentic Fix counters two pressures intensified by the rapid adoption of AI across software development. The first is a growing backlog of vulnerabilities, driven by the surge in AI-generated code, the higher vulnerability rates in that code, and a flood of new supply chain CVEs. The second is a collapsing time to exploit: attackers use AI to chain and weaponize vulnerabilities in hours, while human-led remediation is still measured in days or even weeks. "The differentiator is not that AI can write a fix; it's whether you can trust it," said Dipto Chakravarty, Chief Product & Technology Officer at Black Duck. "A harness that pairs deterministic static and software composition analysis with AI-powered triage, fix generation, and validation, plus human-defined guardrails and approval gates is what makes agentic remediation something enterprises can actually trust and deploy." Closing the loop: scan, triage, fix, validate, submit Signal Agentic Fix automates the end-to-end remediation workflow that would otherwise be constrained by a team's available headcount and expertise: - Scan: Uses Black Duck's deterministic SAST and SCA engines to identify defects in proprietary code and open source dependencies at scale – reliably and cost-effectively. - Triage: Applies AI to assess severity, reachability and exploitability, filtering out false positives and prioritizing the issues that present the greatest risk. - Fix: Generates code fixes for SAST findings using AI, and dependency upgrade fixes for SCA findings using remediation guidance from Black Duck Security Advisories, informed by ContextAI™