Okay, I need to vent and maybe get some perspective. My org recently moved from a traditional Palo Alto NGFW setup to Versa Networks for a full SASE rollout. The networking team is mostly happy with the performance and simplified management, but the security team is in open revolt.
Their biggest complaint? The observability feels like a step backwards. We went from having very granular, customizable logging and dashboards in our old system to what they're calling a "black box" for security events. The built-in security reporting in the Versa portal is... fine for a high-level view, but trying to drill down into a specific blocked session or understand the context around an alert is a pain.
For example, trying to correlate a threat detection with the specific user application traffic at that moment involves jumping between three different views. I tried to rebuild our old security dashboard in Grafana by pulling metrics from Versa Analytics, but the Prometheus exporter feels limited. Look at this attempt to chart top blocked threats over time:
```promql
sum by (threat_name) (increase(versa_security_threats_blocked_total[1h]))
```
The cardinality is huge, and we're missing useful labels like `src_ip` or `user_id` that we used to have readily available. The security team says their incident response time has doubled because they can't quickly build the timeline.
* Are we missing a configuration trick? Is there a better way to get rich, queryable security logs out of Versa?
* Has anyone else faced this pushback from security after switching to a SASE model?
* How are you handling custom alerting for security events? The built-in alert rules seem very basic.
Alert fatigue is real, but so is my rule of silence.
I'm a senior security engineer at a mid-sized financial services firm, managing our transition from a legacy edge firewall to a true SASE architecture. In production, I run both Palo Alto Prisma Access and Zscaler ZIA for different use cases, after a previous PoC with Versa.
* **Observability Gap**: The claim of a "black box" is accurate. SASE platforms often consolidate data for scalability, which can bury granular session details. In our Versa trial, reconstructing the full kill chain for an incident required stitching together data from the 'Threats', 'Applications', and 'Users' panels, as you noted. It's not impossible, but it's slower than a NGFW's unified log viewer.
* **Security Data Model Limitations**: The telemetry export is a common pain point. Unlike Palo Alto's rich log forwarding, many SASE vendors provide summarized, aggregated metrics to their analytics engine. The Prometheus metrics you tried are often pre-aggregated counters. We found the raw event logs via their analytics API to be more useful, but you'll spend significant time building your own SIEM integration.
* **Deployment & Configuration Effort**: The initial move is deceptively simple, but fine-tuning security policy becomes complex. Replicating Palo Alto's App-ID or User-ID-based granularity in Versa required more manual tag creation. The networking team's happiness with "simplified management" often means security lost some policy nuance.
* **Target Fit & Hidden Cost**: Versa is strong for distributed organizations needing SD-WAN integrated with security. However, the hidden cost is in operational overhead. The security team's productivity loss from tool fragmentation is real. In our analysis, the extra person-hours for investigations post-move effectively added 15-20% to the licensing cost.
If your team's priority is security investigation efficacy and you cannot dedicate headcount to build custom dashboards and integrations, you may need to push for additional tooling. I'd recommend you push your vendor for two things: a detailed security log forwarding specification and a commitment to a joint workshop to rebuild a key investigative workflow. If they can't provide that, the fit may be wrong.
prove it with data
The analytics API point is spot on. That's the real workaround, but it basically turns you into a platform dev.
We ended up building a custom Grafana dashboard that pulls from the Versa API, because the canned portal views were useless for our SOAR workflows. It works, but now we're maintaining a bunch of integration code. So much for "simplified management," right?
I'm curious, with Prisma Access, did you find their Log Forwarding Service (LFS) actually gave you raw, stitchable logs? Or was it still a step behind what you'd get from a physical NGFW?
Prompt engineering is the new debugging.
Prisma's LFS is better than Versa's API, but it's still a curated feed, not the raw session table you're used to. You get parsed events, not the full packet-level context. It's enough for most compliance and high-level threat hunting, but when you're knee-deep in an incident and need to see every flag and option in a TCP stream, you'll miss the physical appliance.
We ran into the same integration code problem. The real cost isn't the initial Grafana dashboard, it's the maintenance burden when their API schema changes, which it does. Your "platform dev" comment is exactly right. You're now responsible for the ETL pipeline your security team depends on.
Measure twice, migrate once.
Yeah, the observability gap is real. I've been trying to get a handle on the Versa Analytics API for our email security workflows, and it's rough.
Your PromQL example hits the nail on the head - you can get the data, but it's a fight to make it useful. It feels like we traded one kind of management overhead for another. Now we're data engineers on top of everything else.
Curious, did you ever get a straight answer from them on whether this granularity is a design choice or just a current platform limitation?
Oh wow, I'm literally looking at Versa for my company. This is a huge red flag.
When you say the built-in reporting is "fine for a high-level view," does that mean it actually works for management dashboards, or is it just useless everywhere? Our CISO loves flashy overviews.
Also, are you guys a huge shop? I'm wondering if this is a scale problem, where it works okay for smaller deployments but falls apart when you have a ton of traffic.
Still learning
It works for the flashy overviews, actually. The high-level dashboards showing top threats, application usage, and overall policy hits are visually clean and auto-refresh. That's the part our leadership loved during the demo. The problem starts when you click on any of those pretty widgets to investigate *why*.
On your scale question, we're about 3,000 endpoints. I've heard similar complaints from both smaller shops and much larger ones. The issue isn't data volume breaking it, it's the data model itself. The platform seems designed to serve up aggregated answers, not to let you ask arbitrary, granular questions. So the size of your traffic might change how fast the dashboards load, but not the feeling of hitting a wall when you try to drill down.
Map twice, migrate once.
The PromQL cardinality issue is a known bottleneck. You can't directly export that data for deep analysis without overwhelming your own infrastructure.
Your team is correct about the three-view correlation problem. The underlying data model separates threats, apps, and users into distinct silos. For true investigation, you have to query each one and stitch it together yourself, which is inefficient.
This isn't a scale problem. It's a fundamental trade-off. The platform's simplicity for network ops comes at the cost of security ops agility. Your old NGFW gave you a relational database. Versa gives you aggregated reports.
Data > Marketing
I completely understand your team's frustration with the three-view problem. We had the same issue trying to trace an alert back to a user who swore they weren't using the flagged application. It took cross-referencing the application view, the user activity log, and the threat feed just to get a basic timeline.
That PromQL cardinality wall is real, and it's often the breaking point for trying to build anything custom. The data's there, but the cost to pull it for deep analysis becomes prohibitive. You end up having to pre-filter on the Versa side, which defeats the purpose of building your own dashboard.
Have you talked to your networking team about enabling the detailed session logging for specific high-risk policies? It's a manual, policy-by-policy workaround, but it can create a narrow stream of usable logs for your most critical assets while you sort out the bigger picture.
The right tool saves a thousand meetings.
You've put your finger on the maintenance burden, which is the silent killer of these workarounds. It's not just API schema changes; it's the implicit SLA you now own for a data pipeline that wasn't part of your core competency. When the SOAR playbook breaks at 2 AM because a field renamed from `src_user` to `user_name`, the security team isn't calling Versa support.
Your point about the curated feed versus raw session data is the architectural core of the issue. These platforms optimize for multi-tenant scale by processing telemetry into immutable events. You lose the ability to re-interrogate the raw evidence, which is a fundamental shift in investigative posture. It's like being given a detective's report instead of access to the crime scene.
infrastructure is code