Remediating Vulnerabilities With LLMs: Inside Ivanti's Automation Push
ID: d07ebcb9-a0aa-5a16-959c-8f1e8d101385
STIX ID: report--d07ebcb9-a0aa-5a16-959c-8f1e8d101385
Feed Name: Dark Reading
Threat Score
Ivanti disclosed a critical CVE-2026-10520 in its Sentry mobile gateway that an LLM helped discover; the article describes Ivanti’s internal project to apply multiple LLMs (Anthropic, OpenAI and internal models) to both find vulnerabilities missed by traditional SAST/DAST tooling and to automatically generate fixes, outlines successes and operational challenges (guardrails, costs, prompt/skill maintenance), and highlights concerns about AI-generated bug reports and the potential for offensive misuse of advanced models.
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