In modern cybersecurity, the primary challenge is not the lack of alerts, but rather the overwhelming volume of them. Security teams face a barrage of notifications, not just from external threats, but also from the countless alerts generated by their own tools. This epidemic of alert fatigue jeopardizes the effectiveness of even the most well-funded Security Operations Centers (SOCs).
Deepwatch is changing this dynamic.
Through its patented Dynamic Risk Scoring (DRS) engine, Deepwatch has enabled security teams to cut through the noise and reduce alert fatigue by up to 90%. This is not just a marketing claim; it is backed by purpose-built detection logic, real-time risk evaluation, and precision-focused automation.
Here’s how it works.
The True Cost of Alert Fatigue
Let us examine the issue at hand: traditional detection systems emphasize quantity over quality. These systems generate tens of thousands of alerts each day, many of which are characterized as low-risk, redundant, or outright false positives. The implications of this approach are considerable:
- Analysts often become desensitized to these alerts, thereby increasing the likelihood of overlooking genuine threats.
- Investigations may be delayed or abandoned entirely, jeopardizing security efforts.
- The prevalence of manual triage contributes to rising levels of analyst burnout, as more time is spent processing alerts than on actual response activities.
- Commitments to Service Level Agreements (SLAs) may be compromised, leading to extended incident response timelines.
Data from the industry indicates that more than 45% of alerts remain uninvestigated, with analysts dedicating over 70% of their time managing false positives. This scenario reflects not only inefficiency but also a heightened exposure to risk.
Deepwatch’s Game-Changer: Dynamic Risk Scoring
Deepwatch understands that the solution isn’t simply to generate “more alerts”—it’s to create better alerts. That’s why we developed the DRS Engine, a real-time, context-aware system that assesses each signal based on its true threat potential. Rather than treating all alerts the same, DRS dynamically scores them by analyzing various factors: identity, behavior, asset criticality, threat intelligence, and the surrounding environment.
Key Features That Slash Alert Volume by 90%+
1. 200+ Risk Markers for Granular Evaluation
Traditional security tools may alert you to a suspicious login attempt, but Deepwatch DRS takes it a step further. It examines several factors: Is the login coming from an unusual location? Is it associated with a privileged account? Does the asset hold significant value? Is there a pattern of credential misuse?
With over 200 risk markers, Deepwatch enables precise scoring across four key categories:
- User behavior
- Asset sensitivity
- Detection fidelity
- Environmental risk context
This multi-dimensional scoring system ensures that only high-priority alerts are escalated, effectively filtering out background noise.
2. Real-Time Adaptive Scoring
Threat environments are dynamic, so why rely on static rules?
DRS continuously reassesses alerts in real time. If an endpoint suddenly becomes high-risk due to an ongoing ransomware campaign, the system adjusts and increases the risk score for related alerts. Conversely, benign patterns are automatically downgraded. This adaptive scoring model ensures that alert prioritization accurately reflects current real-world risks rather than outdated baselines.
3. Auto-Enabling Detections Based on Active Sources
When you integrate a new log source, such as a new email security gateway, DRS automatically identifies and activates all relevant detections. This process:
- Ensures complete coverage from day one
- Eliminates the need for manual tuning
- Keeps detection logic aligned with the available telemetry
The result is reduced human error, a faster time to value, and fewer alerts being overlooked.
4. SLA-Backed Alert Response
Unlike most MDR vendors that only provide visibility, Deepwatch takes action. With SLA-backed detection and response, our team is committed to triaging and escalating genuine threats within guaranteed timelines. Alerts that fall below the risk threshold are still monitored, but we ensure your team isn’t overwhelmed with unnecessary noise.
This transition from receiving “all alerts all the time” to a “risk-prioritized response” is a fundamental aspect of how we help reduce alert fatigue.
5. Native Integration with Splunk for Seamless Operations
Many detection systems need additional infrastructure or cumbersome add-ons. However, Deepwatch’s DRS engine is fully integrated into Splunk, which offers several advantages:
- No need for complete replacement of existing systems
- Full visibility within your current dashboards
- Risk scoring is integrated directly into your existing detection and response workflows
This seamless integration accelerates deployment and promotes platform-wide adoption, effectively reducing alert overload.
From Alert Fatigue to Analyst Focus
Let’s compare before and after:
| Before Deepwatch DRS | After Deepwatch DRS |
| 10,000+ daily alerts | High-fidelity, risk-prioritized alerts only |
| 80%+ false positives | <20% false positives |
| Manual triage on every event | Automated scoring, auto-enablement |
| Constant SLA pressure and burnout | SLA-backed response, reduced ticket load |
| Friction with compliance/audit | Transparent metrics, audit-ready dashboards |
Instead of drowning in alerts, analysts become empowered. Instead of reactive triage, teams adopt proactive defense.
Bonus: Try Deepwatch DRS Free for 90 Days
As part of our ongoing campaign, new Deepwatch MDR for Splunk customers who sign up before December 31, 2025, get their first 90 days free.
You’ll experience:
- A 90%+ drop in alert volume
- Real-time, adaptive scoring
- SLA-backed detection and response
- Automated enrichment and asset discovery
Get 90 Days Free
Sign up for a 12-month Deepwatch MDR for Splunk subscription by December 31, 2025, and get 90 days free. Offer valid for new customers with existing Splunk licenses.
Connect with us to get started.
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