All news with #llm security tag

🛡️The Phishing Triage Agent is now in Public Preview and automates triage of user-reported suspicious emails within Microsoft Defender. Using large language models, it evaluates message semantics, inspects URLs and attachments, and detects intent to classify submissions—typically within 15 minutes—automatically resolving the bulk of false positives. Analysts receive natural‑language explanations and a visual decision map for each verdict, can provide plain‑language feedback to refine behavior, and retain control via role‑based access and least‑privilege configuration.

🔒 Microsoft outlines a layered defense-in-depth strategy to protect systems using LLMs from indirect prompt injection attacks. The approach pairs preventative controls such as hardened system prompts and Spotlighting (delimiting, datamarking, encoding) to isolate untrusted inputs with detection via Microsoft Prompt Shields, surfaced through Azure AI Content Safety and integrated with Defender for Cloud. Impact mitigation uses deterministic controls — fine-grained permissions, Microsoft Purview sensitivity labels, DLP policies, explicit user consent workflows, and blocking known exfiltration techniques — while ongoing research (TaskTracker, LLMail-Inject, FIDES) advances new design patterns and assurances.