Useless Usecases?
Why It’s Time to Retire Use Cases That Generate Alerts Without Context
For years, security teams have relied on traditional SIEM use cases built around static rules:
- “Alert when there are 5 failed logins.”
- “Alert when a user downloads X amount of data.”
- “Alert when an admin logs in outside business hours.”
These basic triggers once served a purpose, but in today’s threat landscape, they’re outdated, noisy, and often misleading. Cyberattacks have evolved. Cloud environments have multiplied. User behavior has become dynamic. And, most importantly, security teams are drowning in alerts that lack context.
If your SOC is still relying on rules that only tell you what happened—but not why, how, or whether it matters—it’s time to rethink your detection strategy.
Here’s why organizations must move beyond context-less alerting.
- Alerts Without Context Create Massive Noise
Alert fatigue is real, and it’s dangerous.
A use case like “Bulk file downloads detected” might fire every single day for:
- Backups
- Data migrations
- Analysts exporting reports
- Applications generating logs
The result?
Thousands of alerts that do nothing but overwhelm analysts.
Most alerts don’t represent malicious behavior—they represent normal business activity misinterpreted as suspicious.
Without context such as:
- User role
- Historical behavior
- Device trust
- Data sensitivity
- Location
- Threat intelligence
- Privilege level
…an alert is nothing more than a guess.
And guesses don’t scale.
- Analysts Waste Hours Chasing False Positives
Every alert requires:
- Triage
- Investigation
- Enrichment
- Validation
- Documentation
When alerts lack context, analysts must manually gather all this information just to determine whether the alert is actionable.
This drains time, morale, and resources.
Imagine if every “Failed login alert” also told you:
- The user’s normal login behavior
- Whether MFA succeeded afterward
- The user’s last known device
- Whether the IP is risky
- Whether the login is part of a larger pattern
That’s the difference between noise and insight.
- Threat Actors Are Too Sophisticated for Simple Rules
Cybercriminals know how to avoid signature-based detection.
They move laterally quietly, escalate privileges slowly, and blend into everyday behavior.
A context-less rule might tell you:
“User executed PowerShell.”
In 2024, everyone executes PowerShell.
But a contextual rule tells you:
“User executed PowerShell for the first time, used obfuscated commands, and connected to a suspicious IP that appeared in threat intel feeds.”
That’s not an alert—it’s a storyline.
Attackers hide in plain sight, and only contextual analytics can uncover them.
- Context Drives Prioritization
A raw alert tells you an event happened.
A contextual alert tells you how important it is.
Context allows the SIEM to answer:
- Is this normal for this user?
- Is this user high-risk?
- Is this system critical?
- Is this behavior part of a campaign?
- Is this activity trending?
- Is this linked to a known threat actor?
Without this information, all alerts look equally important—and equally urgent.
A SOC cannot prioritize what it does not understand.
- Context Enables Automation
SOAR and automated response workflows depend on one thing:
Confidence.
You can’t automatically lock accounts, isolate devices, or disable access based on:
“5 failed logins.”
But you can automate on:
“5 failed logins, followed by a successful login from an impossible travel location, matching a risky IP block with known credential-stuffing activity.”
Context isn’t just helpful—it’s required for safe, reliable automation.
- Context Turns Alerts Into Stories
Modern SIEMs (AI SIEM, UEBA-driven SIEM, etc.) don’t just generate alerts—
they generate narratives:
“The user downloaded sensitive data, connected to a suspicious domain, escalated privileges, and executed lateral movement—all within 30 minutes.”
Humans think in stories, not isolated alarm bells.
Context is what transforms fragmented events into the attack kill chain.
- Context Improves SOC Maturity
Moving beyond context-less alerts:
- Reduces noise
- Improves detection accuracy
- Enhances incident response
- Builds trust in SIEM alerts
- Allows analysts to focus on what matters
- Aligns with MITRE ATT&CK-based detection engineering
It’s a critical step toward modernizing your security operations.
- The Future of Detection Is Context-Driven
SIEMs are evolving into autonomous detection platforms powered by:
- AI
- Machine learning
- Behavior analytics
- Threat intelligence
- Identity risk scoring
These technologies rely entirely on contextual data.
The days of basic rules are gone.
The future is context-aware, behavior-based, AI-enhanced detection.
Final Thoughts: It’s Time to Retire Outdated Use Cases
A detection that fires without context is not a detection—it’s a distraction.
Security teams today need:
- Precision
- Context
- Correlation
- Confidence
- Automation-ready insights
If your SIEM is still generating raw, context-less alerts, it’s time to modernize your use cases and embrace a detection strategy built for today’s threats—not yesterday’s.