With security teams racing to keep pace as SASE adoption surges, visibility gaps and blind spots in encrypted traffic remain a major hurdle. To close that gap,
Vectra AI and
Zscaler have deepened their integration, helping organizations detect attacker behavior across remote and hybrid environments without sacrificing agility. By combining
Vectra AI’s NDR capabilities with
Zscaler’s Zero Trust Exchange, the partnership delivers clearer insight into traffic flowing through secure web gateways and private access channels.
With SASE adoption accelerating to support remote and hybrid work, visibility into encrypted and cloud-directed traffic has become a growing challenge for security teams. Traditional tools often struggle to monitor traffic flowing through secure web gateways and private access channels, creating blind spots attackers can exploit.
The integration allows security operations centers (SOCs) to apply advanced behavioral detection and response across cloud-delivered traffic—without having to rearchitect environments or deploy additional tools.
“That’s what this integration is really about—visibility. We’ve partnered closely with Zscaler so that traffic flowing through ZIA and ZPA can be analyzed directly by the Vectra AI Platform. That gives SOC teams the ability to detect attacker behaviors — even in remote or encrypted traffic — without having to bolt-on additional tools or re-architect their environments. It’s not about replacing what customers already have. It’s about giving them back the visibility they need to apply Zero Trust principles and respond quickly when something goes wrong. We’re trying to eliminate blind spots — especially at the edge — without slowing things down for the business,” said
Jeff Reed, Chief Product Officer at Vectra AI.Lighter Operational Lift, Faster Response
The technical integration is designed for low operational overhead. The Vectra AI Platform can be deployed agentlessly across SaaS, on-prem, or hybrid environments, delivering actionable detections within minutes. Alerts are surfaced through a unified platform, eliminating the need to juggle multiple UIs.
The result: reduced alert fatigue and faster response times.
“Our AI isn’t just surfacing alerts, it is helping analysts understand what matters, guiding investigations, and in some cases automating parts of the response,” Reed explained. “We’ve got data showing customers are identifying more threats, and doing it faster—which really takes pressure off already stretched teams.”
According to IDC, organizations using Vectra AI identified 52% more potential threats in 37% less time, while SOCs saw a 40% gain in efficiency, spending significantly less time on alert triage and investigation.
Improved Collaboration Between SecOps and NetOps
For both SecOps and NetOps teams, the operational lift of the Vectra AI and Zscaler integration is intentionally light. The agentless deployment can be up and running in as little as 10 minutes—whether on-prem, in the cloud, or in hybrid environments—delivering actionable attack signals without requiring teams to juggle multiple UIs.
“We’re delivering rich detection capabilities, visibility for the entirety of a customer’s users regardless of where they are working, with operational efficiency thanks to noise reduction, prioritization, reduced investigation and response times,” says Reed.
For SecOps, the benefits are particularly tangible. Vectra’s AI not only surfaces alerts but also helps analysts focus on what matters, guiding investigations and even automating aspects of the response. IDC recently reported that customers using Vectra AI identified 52% more threats in 37% less time, with SOC teams seeing a 40% boost in efficiency. Meanwhile, NetOps teams gain deeper network insight and benefit from improved alignment with security counterparts—closing the visibility gap and enhancing cross-team collaboration.
Built for MSPs Managing Distributed Environments
For managed service providers (MSPs), the integration is designed to support multi-tenant operations at scale. Vectra AI ingests telemetry from ZIA and ZPA, then enriches it with context from network activity, identity data, and endpoint or cloud signals where available.
“MSPs aren’t just securing one environment—they’re managing dozens, sometimes hundreds,” said Reed. “This gives them a clearer line of sight into what’s happening across all their customer environments, and the tools to respond quickly and consistently.”
Through the Vectra AI Clarity Program, providers can tailor how they manage and separate tenant environments, helping them deliver scalable detection and response services without losing visibility or efficiency.
MSPs can also leverage this integration to offer differentiated Zero Trust or managed detection services. By combining telemetry from ZIA and ZPA with Vectra AI’s high-quality detections and rich metadata, providers can build threat hunting services, streamline investigations, and deliver consistent security outcomes.
“Our detections are built to highlight what truly matters—not flood analysts with alerts,” said Reed. “For service providers managing multiple customer environments, that kind of efficiency isn’t just helpful—it’s essential.”
Red Canary, Zscaler, and Vectra AI: Aligning MDR with Real-Time Detection
With Zscaler acquiring Red Canary to bolster its MDR capabilities, the opportunity to streamline detection and response across ZIA and ZPA becomes even more timely. While Zscaler and Red Canary will chart their own integration roadmap, Vectra AI’s role in the broader ecosystem remains clear: providing real-time threat detection enriched with context across network, identity, and cloud layers.
“What Vectra AI brings to that picture is the ability to surface threats as they’re happening — and to do that with enough context to enable a quick and well-informed response,” emphasizes Reed. “That fits really well with any MDR service, especially one that’s layered on top of ZIA and ZPA traffic.”
Reed added, “Zscaler and Red Canary are best positioned to comment on their integration roadmap. But from our side, we see a lot of upside in combining strong MDR capabilities with real-time, high-fidelity threat signal from our platform.”
As hybrid environments expand and SASE architectures become standard, early and contextualized detection is critical. Vectra AI's-driven insights enhance MDR workflows, especially for threats hidden in encrypted traffic or remote access sessions. The expanded integration with Zscaler helps organizations—whether through internal SecOps or managed services—respond faster and more effectively, without compromising performance or agility.
