> For the complete documentation index, see [llms.txt](https://docs.vectra.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.vectra.ai/release-notes/respond-ux-rux-1/jul-2025-release-notes-rux.md). # Jul 2025 Release Notes (RUX) ### The Respond UX July release (2025.07) includes: **Zscaler Internet Access SSE Integration in Public Preview** Vectra AI and Zscaler have teamed up to eliminate blind spots in encrypted and direct-to-cloud traffic. Through integration with Zscaler Internet Access (ZIA), Vectra replays user traffic from secure PCAPs for full-spectrum threat detection—uncovering advanced C2 and exfiltration that traditional tools miss. It’s a game-changer for securing remote and cloud-first environments. For information see Vectra’s [Press Release](https://www.vectra.ai/about/news/vectra-ai-and-zscaler-expand-their-alliance-to-unlock-unprecedented-visibility-into-sase-traffic) and [Podcast](https://www.youtube.com/watch?v=YlwGoJQuVw4). Please contact your Vectra account team if you are interested in enabling Vectra’s ZIA integration. See [Zscaler ZIA Integration and Optimization](https://support.vectra.ai/vectra/article/KB-VS-1006) for implementation details. **Deeper Executive Insight with Signal Efficacy in CISO Reports** Vectra AI now brings signal efficacy metrics directly into CISO reports—showing how detections and entities were resolved as benign, remediated, or unclassified. This added context proves the value of detections that mattered most to analysts and highlights remediation outcomes at a glance. Executives get clear visibility into threat quality, empowering smarter security decisions and demonstrating measurable value from Vectra. **Smarter Visibility with the Network Discovery Dashboard** Vectra AI introduces the Network Discovery Dashboard, a powerful new way to explore your environment with an interactive network map. Analysts can now trace hosts and IPs visually, spot anomalies in context, and accelerate investigations with intuitive navigation. This dashboard simplifies complex environments, turning raw network data into actionable insights for faster, more confident threat response. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.vectra.ai/release-notes/respond-ux-rux-1/jul-2025-release-notes-rux.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.