The cybersecurity industry has spent years trying to improve detection fidelity. More sensors, more logs, more signatures. Yet despite all this investment, teams still struggle with one of the most frustrating truths in security:
Detection without context leads to noise, not protection.
Security teams today are overloaded not just by threats, but by alerts that lack meaning. Every SIEM or EDR product promises insights, but what they often deliver is volume. Alert fatigue isn’t caused by too many threats—it’s caused by too little relevance.
At Deepwatch, we believe the future of detection is risk-aligned and context-aware. And it starts with a critical shift: stop treating all alerts equally, and start mapping them to exposure, asset value, and threat impact.
The Problem: Detection in a Vacuum
Traditional detection logic—even when mapped to MITRE ATT&CK—often fails to account for the business context of the asset, user, or system involved. For example:
- A credential reuse alert from Okta is treated the same whether it’s a sandbox account or the CFO’s login
- A suspicious PowerShell command triggers the same workflow on a dev box or a production system
- A brute-force attempt gets the same priority whether it’s on a test VM or a critical ERP system
That lack of context is what creates false positives, alert overload, and, most importantly, missed threats.
Why Context Changes the Game
Adding context doesn’t just help analysts triage faster. It fundamentally improves detection quality by aligning it with real exposure. Here’s how:
- Risk-Based Prioritization
Deepwatch CRE uses asset criticality, identity posture, and cloud exposure to assign scores that weight alerts by their potential business impact. - Cross-Stack Correlation
Deepwatch CRE ingests data from identity, endpoint, cloud, SaaS, and SIEM to understand the full scope of an event—reducing duplicate or misleading alerts. - Threat Enrichment
Deepwatch CRE matches detection logic against threat intelligence and known attack paths, providing context that informs escalation, response, or suppression. - Executive Visibility
When detections are tied to real risk categories (like data loss or operational disruption), reporting becomes simpler, clearer, and more aligned to business concerns.
The Solution: Deepwatch Cyber Risk and Exposure
The Deepwatch Guardian MDR Platform™ now includes Deepwatch Cyber Risk and Exposure (Deepwatch CRE)—an integrated risk engine that transforms traditional detection into a risk-aware, context-driven process. Deepwatch CRE doesn’t replace your existing stack. It enhances it.
With Deepwatch CRE, detection rules are automatically scored, enriched, and benchmarked. SOC analysts receive fewer, higher-quality alerts. CISOs get dashboards that tie alerts to business impact. And detection engineers gain visibility into where rules are outdated, noisy, or missing entirely.
Real-World Example
One Deepwatch customer inherited a SIEM with 2,300 detection rules. But fewer than 10% of those were actively generating meaningful alerts. With Deepwatch CRE, they:
- Identified 42 rules producing >90% of alert noise
- Tuned or suppressed low-value alerts based on risk scoring
- Mapped all detections to MITRE coverage and exposure context
- Reduced alert triage time by 57%
Final Thought
The goal of detection isn’t alerts. It’s action. But without context, alerts can’t drive action—they drive burnout.
Deepwatch CRE helps Deepwatch customers shift from detection that reacts to everything, to detection that responds to what matters.
Read Deepwatch CRE Solution Brief
↑
Share