Engineer What Matters.Detect What Others Miss.

OT Detection Engineering is the continuous process of designing, validating, measuring, and improving an organization's ability to detect cyber threats across Operational Technology (OT) environments. It combines visibility analysis, detection content development, validation, and ongoing optimization to ensure security monitoring remains effective as industrial environments evolve.

Unlike one-time SIEM tuning, Detection Engineering is a continuous operational discipline that improves detection quality over time.

Many organizations have cybersecurity tools but lack confidence that those tools can reliably detect threats targeting industrial environments. Detection Engineering identifies blind spots, validates detection effectiveness, reduces false positives, and continuously improves coverage so organizations can detect attacks before they impact production or safety.

The goal is not simply to collect more telemetry, but to ensure the right telemetry produces meaningful, actionable detections.

SIEM tuning typically focuses on reducing noise, improving alert quality, and optimizing system performance.

OT Detection Engineering is much broader. It evaluates telemetry sources, validates detection coverage, measures effectiveness against real-world attack techniques, identifies visibility gaps, develops new detection content, and continuously improves an organization's overall detection capability.

SIEM tuning is one activity within Detection Engineering, not the entire discipline.

OT Detection Engineering helps organizations identify and resolve issues such as:

• Unknown or unmanaged assets
• Missing telemetry
• Detection blind spots
• Poor visibility across industrial environments
• Excessive false positives
• Low-confidence detections
• Gaps in ATT&CK for ICS coverage
• Detection content that no longer reflects current threats

By addressing these issues, organizations improve both cybersecurity visibility and operational resilience.

A detection blind spot is an area of the environment where malicious activity could occur without generating meaningful security alerts.

Blind spots may result from missing telemetry, unmanaged assets, incomplete network visibility, or gaps in detection content.

Detection Engineering identifies these blind spots and develops strategies to eliminate them.

Mithryl Systems evaluates available telemetry, asset coverage, network architecture, industrial communications, and existing detections to determine where operational visibility is incomplete.

Rather than assuming every asset is monitored, we verify whether important systems are generating the telemetry needed to detect cyber threats.

This process often uncovers unknown assets, unmonitored systems, and critical detection gaps.

MITRE ATT&CK for ICS is a globally recognized knowledge base that documents adversary tactics, techniques, and procedures targeting industrial control systems.

Mithryl Systems uses ATT&CK for ICS as one method for evaluating detection coverage, identifying defensive gaps, and prioritizing new detection content based on real-world attack behavior.

Detection quality is measured by evaluating whether detections reliably identify meaningful threats while minimizing false positives.

Mithryl Systems measures detection quality through validation testing, ATT&CK coverage analysis, operational relevance, analyst feedback, and continuous performance monitoring.

Effective detections should produce actionable intelligence rather than simply generating alerts.

Detection validation should be an ongoing process rather than a one-time project.

As industrial environments, threat actors, operational processes, and technologies evolve, detections should be continuously tested and refined to ensure they remain accurate, relevant, and effective.

Continuous validation helps prevent detection content from becoming outdated over time.

Effective Detection Engineering depends on high-quality telemetry from across the industrial environment.

Common telemetry sources include:

• OT network monitoring platforms
• Firewalls
• Engineering workstations
• Active Directory
• Windows OT systems
• Remote access infrastructure
• Industrial protocol monitoring
• SIEM platforms
• OT asset inventories

The exact telemetry requirements depend on each organization's environment and risk profile.

Yes.

One of the primary objectives of Detection Engineering is reducing unnecessary alerts while improving confidence in meaningful detections.

By continuously refining detection logic, validating alert behavior, and incorporating operational context, organizations spend less time investigating benign activity and more time responding to genuine threats.

Yes.

Detection Engineering helps organizations understand which ATT&CK for ICS techniques are currently detectable, where gaps exist, and which new detections should be developed to improve overall coverage.

Rather than chasing arbitrary coverage percentages, Mithryl Systems prioritizes techniques based on operational risk and real-world adversary behavior.

The Detection Intelligence Workspace is Mithryl Systems' structured approach for connecting telemetry ingestion, coverage analysis, detection engineering, validation testing, performance measurement, and analyst recommendations into a continuous improvement workflow.

It provides a repeatable process for improving detection capability rather than treating detections as static rules.

Yes.

Mithryl Systems follows a vendor-neutral approach and works with existing SIEM, XDR, OT monitoring, and industrial cybersecurity platforms.

Rather than replacing existing technologies, Detection Engineering improves the effectiveness of the tools organizations already own.

Operational resilience depends on detecting threats before they become operational disruptions.

Detection Engineering strengthens resilience by improving visibility, reducing blind spots, validating detections, improving ATT&CK coverage, and continuously refining detection content as threats and environments change.

Better detections enable faster investigations and more confident operational decisions.

Detection Engineering is typically delivered as a continuous improvement program rather than a fixed-duration project.

Initial assessments establish visibility, coverage, and detection baselines. From there, detections are continuously validated, measured, optimized, and expanded as operational environments evolve and new threats emerge.

Mithryl Systems approaches Detection Engineering as an operational capability rather than a technical tuning exercise.

Our methodology combines:

• OT operational context
• Visibility analysis
• ATT&CK for ICS mapping
• Detection content development
• Validation testing
• Continuous optimization
• Augmented Intelligence
• Analyst expertise
• Operational feedback loops

The result is a continuously improving detection capability that supports operational resilience instead of simply generating more alerts.

The best place to begin is by downloading the OT Detection Engineering Datasheet to understand our methodology and approach.

Organizations interested in evaluating their current detection capability can also schedule a conversation with a Mithryl Systems OT cybersecurity expert to discuss visibility gaps, telemetry quality, ATT&CK coverage, and opportunities to improve operational detection effectiveness.