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Discovery Mode: Zero-Config Security Monitoring

SilentPulse Team |

Here is an honest question for anyone running a SOC: How long does it take you to set up monitoring for a new data source?

Not “connect it to the SIEM.” That part is relatively quick. We mean the full loop: knowing which assets should appear in that data source, defining what “normal” looks like, and getting alerted when something stops flowing.

In most organizations, the answer ranges from “a few days” to “we never actually finished that.”

The CMDB Chicken-and-Egg Problem

Traditional security monitoring has a prerequisite problem. Before you can monitor whether your 50 Windows servers are reporting to Splunk, you need:

  1. A list of those 50 servers (your CMDB)
  2. That list to be accurate and current
  3. Someone to have mapped the list to the data source
  4. The mapping to stay updated as servers come and go

Step 1 alone derails most teams. CMDBs are notoriously incomplete. Ask any SOC analyst to pull up their asset inventory, then compare it to what’s actually on the network. The gap is always larger than anyone expects.

And here is the paradox: you need an accurate inventory to monitor your telemetry, but you need working telemetry to build an accurate inventory. Both sides of the equation point at each other, and neither side blinks.

What if the system just figured it out?

That is the premise behind Discovery Mode in SilentPulse. Instead of demanding a CMDB before monitoring starts, Discovery Mode inverts the sequence:

  1. Connect to your data source (Splunk, Kafka, Elasticsearch, whatever)
  2. The system observes what arrives during a configurable learning phase
  3. After the learning phase completes, it freezes the discovered baseline
  4. From that point forward, any asset that was reporting and then stops triggers an alert

No CMDB import. No CSV upload. No manual asset mapping. You connect the data source and the system teaches itself what “normal” looks like.

How It Works in Practice

When you create a new Pulse in SilentPulse with Discovery Mode enabled, three things happen.

First, a worker starts collecting data from your configured source. Every hostname, every unique identifier that appears in the data stream gets recorded. The system is building a picture of what is actually reporting, right now, from this specific data source.

Second, the scheduler enters observation-only mode. It watches what the worker collects but does not generate alerts. This is the learning phase. If a server reboots during this window, if a batch job runs only on weekdays, if a log source is inherently intermittent, the learning phase catches all of it. You configure how long this phase lasts: one hour for a quick test, 24 hours to catch a full daily cycle, seven days to capture weekly patterns.

Third, when the learning phase completes, the system automatically transitions to active monitoring. Every asset that was observed during learning becomes the expected baseline. The scheduler now compares what it sees against that baseline. If SRV-APP-01 was reliably reporting every 5 minutes during the 24-hour learning window and then goes silent for 15 minutes, you get an alert.

The entire process, from “I wonder if my Splunk is getting all the logs” to “I will know within minutes if anything stops reporting,” takes about 60 seconds of human effort.

What You Can Do After Learning

Discovery Mode does not lock you into automatic baselines forever. Once the learning phase completes, SilentPulse shows you exactly what it discovered. You can:

  • Review the auto-created asset group and adjust it
  • Remove entries that should not be monitored (test systems, known intermittent sources)
  • Add assets that you expect to see but haven’t appeared yet (this is where your CMDB knowledge adds value, not replaces the system)
  • Connect multiple Pulses monitoring the same assets into a Pipeline for cross-source correlation

The key insight is that Discovery Mode gives you a working, useful baseline on day one. The refinement happens after you already have monitoring running, not as a prerequisite for starting.

When to Use Discovery Mode vs. Manual Mapping

Discovery Mode is the right choice when:

  • You’re setting up a new data source and want to understand what’s actually reporting
  • Your CMDB is incomplete or unreliable (most of them are)
  • You need monitoring running quickly and can refine later
  • You’re validating whether expected assets are truly reporting

Manual mapping is the right choice when:

  • Compliance requires monitoring a specific, documented set of assets
  • You need to detect assets that have never reported (Discovery only catches disappearances, not things that were never there)
  • Your CMDB is genuinely authoritative and well-maintained

In practice, most teams start with Discovery Mode and graduate to manual mapping for their most critical data sources once they have confidence in their inventory.

Pipelines: When One Pulse Isn’t Enough

Discovery Mode becomes even more powerful when combined with SilentPulse’s Pipeline feature. Consider a typical security data flow:

Windows Server -> Winlogbeat -> Kafka -> Splunk
                                     -> Databricks

Your Windows events traverse four systems before reaching your SIEM and your data lake. A problem anywhere in that chain creates a blind spot.

With Discovery Mode, you create a Pulse for each stage. Each one independently discovers what assets are reporting at that point in the pipeline. When SilentPulse detects that you have multiple Pulses monitoring the same assets, it suggests connecting them into a Pipeline.

Now you get cross-source correlation for free. If SRV-APP-01 appears on Kafka but disappears from Splunk, you know instantly that the problem is between Kafka and Splunk, not at the endpoint. If it disappears from Kafka too, the issue is between the server and Kafka. No manual configuration of these relationships required, the system figures out the topology from what it observes.

The Numbers

From our internal testing and early deployments:

  • Time to first monitoring: Under 60 seconds (connect, name, create Pulse)
  • Learning phase completion: Typically 24 hours for a full baseline
  • False positive rate during first week: Near zero, because the baseline is built from actual observation, not from a potentially stale CMDB
  • Assets discovered per data source: Varies, but teams routinely discover 10-15% more assets than their CMDB accounts for

That last metric is worth pausing on. When the system discovers assets that are not in your CMDB, those are hosts producing security telemetry that nobody knew about. Which means nobody was tracking whether that telemetry continued flowing. Which means an attacker could compromise one of those hosts, disable the agent, and the SOC would never know it happened.

Discovery Mode does not just simplify setup. It catches the things your existing processes missed.

Getting Started

Discovery Mode is available now in SilentPulse. Creating a Discovery Pulse takes three fields:

  1. A name
  2. A connector type and credentials
  3. A learning duration

That is it. The system handles the rest.

curl -X POST /api/v1/pulses \
  -d '{
    "name": "Production Splunk",
    "connector_type": "splunk",
    "connection_config": {
      "base_url": "https://splunk.internal:8089",
      "token": "your-token"
    },
    "discovery_mode": true,
    "learning_duration": "24h"
  }'

Or click Pulses > New Pulse in the dashboard and toggle Discovery Mode on.

Your baseline builds itself. Your monitoring starts automatically. And the next time someone asks “are we sure all our endpoints are reporting?”, you will have an actual answer instead of a hopeful assumption.