Enterprises are still fighting the same battle - keeping a dispersed workforce connected without interruptions. When apps slow down or networks fail, productivity tanks, and figuring out what’s actually broken often takes longer than resolving it. Zscaler’s newest updates to its Digital Experience (ZDX) platform are built to flip that script.ZDX adds new monitoring and remediation capabilities designed to give IT and security teams a complete view of user experience across devices, networks, and applications. The goal is to detect issues in real time, resolve them quickly, and prevent small performance drops from snowballing into major disruptions.By merging SPLX’s AI capabilities with Zscaler’s global telemetry and cloud backbone, the company is expanding its reach beyond user connectivity to safeguard the emerging layer of AI-driven applications shaping enterprise operations. Taken together, the SPLX acquisition and recent ZDX updates mark a broader shift for Zscaler, from protecting networks to securing every digital and AI-powered interaction end-to-end.
Anthony Torsiello, SVP, Global Partner Ecosystem, Zscaler told ChannelE2E, “With the recent innovations around Zscaler Digital Experience, including new Managed Monitoring and Network Intelligence capabilities, MSPs can deliver seamless digital experiences while meeting strict SLAs through enhanced visibility and faster issue resolution.
These innovations enable partners to proactively identify and address bottlenecks, such as ISP disruptions, by providing real-time insights into performance issues and quickly rerouting traffic. "This not only minimizes customer downtime and accelerates mean time to resolution but also empowers partners to demonstrate greater value by strengthening SLAs, improving customer satisfaction, and enhancing operational efficiency for their clients," emphasized Torsiello.
Tackling the root cause problem
Traditional troubleshooting can take days because teams rely on separate tools that rarely share data. ZDX brings together telemetry from devices, networks, and applications to pinpoint the source of an issue faster. This unified approach supports stronger service-level agreements and minimizes downtime.The new Network Intelligence feature helps organizations identify ISP-related bottlenecks. When performance dips, traffic can be rerouted through Zscaler’s Zero Trust Exchange data centers, keeping users connected without waiting on the provider to fix the problem.With Zscaler Managed Monitoring, companies can continuously track the health of SaaS and custom applications from multiple locations worldwide. This helps IT teams and managed service providers spot issues before users feel the impact, verify that providers are meeting SLAs, and negotiate better terms when they don’t.Zscaler has also added tools for endpoint health and maintenance. The Device Health Score and System Events dashboard offer visibility into how devices perform across the enterprise. Administrators can identify widespread issues like software conflicts or aging hardware, then apply fixes remotely. This approach extends device lifecycles and reduces replacement costs.Strengthening the Zero Trust experience
Zscaler is also doubling down on AI security with its acquisition of SPLX, a pioneer in securing AI ecosystems through asset discovery, automated red teaming, and governance. The deal expands the Zscaler Zero Trust Exchange platform to cover every phase of the AI lifecycle, from model development to deployment, helping organizations rein in shadow AI, data leakage, and unmonitored AI usage.As AI adoption accelerates, enterprises are facing a growing sprawl of models, datasets, and agents that introduce new risks. By embedding SPLX’s technology into its cloud platform, Zscaler plans to make AI security simpler and more proactive. The integration will enable automated AI asset discovery, real-time vulnerability testing, and runtime guardrails, giving security and compliance teams continuous oversight of their AI environments.What SPLX brings to the table- AI Asset Discovery and Risk Assessment: Gives visibility into both external and internal AI assets, including generative AI tools, proprietary models, workflows, and Model Context Protocol (MCP) servers across hybrid and multi-cloud setups.
- Automated AI Red Teaming and Remediation: Runs large-scale, domain-specific simulations to find and fix weaknesses early, pushing security further left in the development cycle.
- AI Runtime Guardrails and Prompt Hardening: Defends against data exposure and malicious prompt manipulation during production use.
- AI Governance and Compliance: Delivers ongoing monitoring to help organizations align with regulatory and internal governance mandates.
