External Attack Surface Management
Attack Surface Management EASM
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Learn how each dark web monitoring approach works so you can pick the right one.
• Manual monitoring works for targeted investigations, but you can’t run it as your primary defense. Use it during incident response, not as ongoing surveillance
• Threat intel feeds plug into your SIEM, but they’re batch-based. By the time you see stolen session tokens in a feed, they may already be expired or exploited
• Automated platforms catch things fastest, but no vendor covers every source. Ask which specific forums and channels they monitor before you buy
• Most mature teams layer all three. Automate the baseline, add feeds for enrichment, and keep manual capabilities for when you need to dig deeper
Not all dark web monitoring works the same way. Some teams rely on analysts browsing Tor manually. Others subscribe to threat intel feeds. Many use automated platforms that scan around the clock.
Each approach trades off speed and coverage differently. Picking the wrong one means you’re either missing threats or burning budget on something that doesn’t fit your team.
This page breaks down the three main approaches so you can match the right method to your security maturity and team size.
We’ll compare manual monitoring, threat intelligence feeds, and automated continuous monitoring side by side.
What Are the Main Approaches to Dark Web Monitoring?
There are three ways security teams monitor the dark web for stolen data. Each trades off coverage and speed differently.
Dark web monitoring scans criminal marketplaces and forums for your stolen data. When credentials or sensitive files tied to your company appear, you get an alert so you can act before attackers exploit it.
The three approaches are:
- Manual monitoring. Analysts browse Tor-based marketplaces and search forums by hand.
- Threat intelligence feeds. Your team subscribes to curated data feeds from threat intel providers and ingests them into your SIEM.
- Automated continuous monitoring. A platform scans dark web sources 24/7 and sends real-time alerts when your data appears.
Most teams don’t pick just one. Experienced teams combine these approaches based on what they’re trying to catch and how fast they need to know.
How Does Manual Dark Web Monitoring Work?
Manual monitoring means an analyst actively browses dark web sources looking for your data. They use Tor to access .onion marketplaces and search hacker forums for mentions of your company. Paste sites get checked for leaked credentials too.
This is how dark web monitoring started. Before automated platforms existed, analysts had to do it all by hand.
Where it works well:
- Targeted searches during active incident response
- Initial dark web assessments before investing in tooling
- One-off investigations into specific threats or actors
Where it falls short:
- You can’t cover enough sources. The dark web is fragmented across hundreds of forums and marketplaces. No analyst can check them all.
- No real-time alerting. You only find threats when someone is actively looking.
- OpSec risk. Browsing criminal sources puts your analysts at risk. A misconfigured browser can infect their machine or expose your corporate identity to the people you’re watching.
- It doesn’t scale. If you’re monitoring 50 domains across a global organization, manual searches won’t cut it.
For a deeper look at why in-house dark web collection is hard, see the dark web monitoring methodology page.
How Do Threat Intelligence Feeds Work?
Threat intelligence feeds deliver dark web data from a provider’s collection network in a format your tools can use. Instead of browsing sources yourself, you subscribe to feeds that include compromised credentials and indicators of compromise.
A threat intelligence feed is a stream of security data from external sources, formatted so your tools can process it automatically. Feeds can include compromised credentials and malware indicators. You pipe them into your SIEM so it catches more and you respond faster.
Your team feeds this data into your SIEM or SOAR platform. From there, you can match dark web data against your own logs and trigger automated workflows.
Where it works well:
- Teams that already have a SIEM and want to add dark web data to it
- Getting processed data without building your own collection pipeline
- Supplementing automated monitoring with additional data sources
Where it falls short:
- Batch delivery. Most feeds update on a schedule (hourly or daily), not in real time. By the time you see the data, session tokens may already be expired or credentials already exploited.
- Coverage depends on the provider. You only get data from sources the feed provider monitors. If they don’t cover a specific forum or infostealer channel, you won’t see that data.
- Context gaps. Feeds give you data points, but you often need to investigate further to understand the full picture.
How Does Automated Dark Web Monitoring Work?
Automated platforms run continuous scans across dark web sources and alert you the moment your data appears. You configure which domains and email addresses to watch. The platform handles collection and matching.
This is what most enterprise security teams and MSSPs use today. The IBM Cost of a Data Breach Report found that shorter detection time directly reduces breach costs. Automated monitoring cuts detection time from weeks or months down to minutes.
Where it works well:
- Enterprise SOCs monitoring dozens or hundreds of domains
- MSSPs monitoring multiple clients from a single platform
- Teams that need instant notifications piped into SIEM or ticketing systems via webhooks and APIs
- Continuous compliance monitoring for frameworks like SOC 2 and ISO 27001
Where it falls short:
- No platform covers every source. Criminal groups create new forums and channels constantly. There are always gaps.
- Vendor selection matters. Platforms vary widely in source coverage and data freshness.
- Ongoing cost. Enterprise platforms are a recurring investment, though most teams find the cost far lower than building in-house collection.
How Do These Approaches Compare?
Here’s how the three approaches stack up across the factors that matter most:
| Factor | Manual | Threat Intel Feeds | Automated Platform |
|---|---|---|---|
| Detection speed | Hours to weeks | Hourly to daily | Minutes |
| Source coverage | Limited to where analysts look | Limited to provider’s collection | Broadest, but still has gaps |
| Scalability | Doesn’t scale | Scales with SIEM capacity | Scales across many domains |
| Integration | None (manual process) | SIEM/SOAR/TIP ingestion | Webhooks, API, SIEM integration |
| OpSec risk | High (direct Tor access) | None (provider handles access) | None (provider handles access) |
| Team effort | High (analyst-intensive) | Medium (setup and triage) | Low (setup, then alert triage) |
| Best for | Investigations | Enriching existing tools | Ongoing surveillance |
The Verizon DBIR consistently shows that stolen credentials are involved in the majority of breaches. Whichever approach you choose, credential monitoring should be the starting point.
Which Approach Fits Your Team?
The right approach depends on your team size and security maturity.
Small security teams (1-5 people): Start with manual monitoring for specific investigations. If you don’t have a SIEM yet, automated platforms with email or webhook alerts give you the most coverage for the least effort. You don’t need a full threat intel program to start watching for leaked credentials.
Mid-size security teams (5-20 people): Threat intel feeds work well if you already have a SIEM and want to add dark web data to your existing detection stack. Pair feeds with an automated platform that alerts you immediately on your most critical domains.
Enterprise SOCs and MSSPs: Automated continuous monitoring is the baseline. You need alerts firing across all your domains with webhook and API integration into your existing workflow. Layer in feeds for additional context and keep the ability to investigate manually during incidents.
No matter your team size, start by monitoring your own domains for exposed credentials. That’s where the highest-impact threats surface. Then expand to third-party vendor monitoring and ransomware leak site tracking as your program matures.
Ready to see what’s already exposed? Review our dark web monitoring methodology to understand exactly what sources get covered. Or book a demo to see your organization’s exposure data.
Dark Web Monitoring Approaches FAQ
Yes, and most mature security teams do. Automated monitoring handles ongoing surveillance across your domains. Threat intel feeds supplement that with curated data for your SIEM. Manual searching fills gaps during active incident investigations.
Automated continuous monitoring is fastest for ongoing detection. Platforms like Breachsense fire alerts within minutes of new data appearing. Manual monitoring depends entirely on when an analyst happens to check. Feeds are faster than manual but slower than real-time automation.
Manual monitoring costs analyst time but has low tool costs. Threat intel feeds typically run five to six figures annually depending on the provider and data types. Automated platforms vary by the number of monitored domains and data volume.
Yes, for specific use cases. During an active breach investigation, a trained analyst can search for context that automated tools might not surface. Manual monitoring is also useful for initial assessments before investing in tooling.
Coverage gaps. No single approach sees everything on the dark web. Manual monitoring misses what analysts aren’t looking for. Feeds only cover what the provider collects. Automated platforms have blind spots too. Layering approaches closes more of those gaps.
Start with your team size and security maturity. Small teams running occasional investigations can start with manual methods. Mid-size teams benefit from feeds integrated into their existing tools. Enterprise SOCs and MSSPs need automated platforms that scale across many domains and notify you the moment data appears.
No. Automated platforms handle data collection and alerting at scale. But analysts still need to triage alerts and investigate context. The platform handles the watching. Your team handles the thinking.
At minimum: hacker forums, dark web marketplaces, and ransomware leak sites. Infostealer channels and paste sites matter too. The more sources covered, the less you’ll miss. See the Breachsense methodology page for a full breakdown of source types.
