SIEM Tuning by Live Fire (STLF™)

Close the Gaps. Strengthen Detection. Optimize Response.

STLF™ empowers organizations to identify weaknesses and improve their detection and response capabilities. Without proper tuning and validation, security teams cannot confidently assess whether their monitoring solutions are effectively detecting, alerting, and analyzing threats in real time.

Most organizations rely on a Security Information and Event Management (SIEM) solution to monitor for cyber threats. Whether managed in-house, outsourced to an MSSP (Managed Security Solutions Provider), or a combination of both. Early warning is critical: incident response teams can contain the threat and investigate the root cause of the breach.

Request Consultation >

Why STLF is a Game Changer

Unlike penetration testing or red team engagements, STLF is a purple team collaboration exercise designed to walk security teams through real-world attack emulations from an “assumed breach” perspective. Our ever-evolving repository of attacks and tradecraft ensures that organizations keep pace with emerging threats.

At the conclusion of an engagement, a comprehensive report delivers actionable insights, enabling teams to:

Enhance detection capabilities
Reduce noise in event logging
Lower security management costs
Improve overall visibility

The STLF research team reviews historical data, data breaches, discerning patterns, and anomalies to develop realistic attack scenarios (playbooks) around a threat actor, their tactics, techniques, and procedures (TTPs), resulting in more accurate emulation and evaluation.
By profiling typical user and system behavior, STLF helps teams identify anomalies more effectively, therefore reducing false positives while improving detection accuracy.
STLF integrates actionable threat intelligence feeds, adding valuable context to events and alerts. This reduces triage time and speeds up incident resolution.
Security incidents demand swift and precise action. STLF validates response procedures such as:
- Isolating compromised systems
- Blocking malicious traffic
- Triggering investigative workflows
By assessing deviations from behavioral norms, STLF can emulate insider threats, compromised accounts, unauthorized access attempts, and full exploitation scenarios.
STLF seamlessly integrates with cloud environments, allowing teams to stress-test on-premises and cloud infrastructure detection capabilities at scale.
Through adaptive algorithms and real-time feedback loops, STLF refines detection rules over time, ensuring security teams can immediately apply lessons learned to stay ahead of evolving threats.