Detection Engineering  Made Easy

Build, test and optimize threat detection with attack simulations and custom rules that automate detection engineering.

View Solution Brief

Detection engineering demands continuous vigilance to adapt to new threats.

81%

MITRE ATT&CK techniques not covered by average SIEM

Source: CardinalOps

49%

Security teams report challenges validating custom detections

Source: Anvilogic

18%

SIEM rules are broken and will never fire due to issues with data sources

Source: CardinalOps

Automate Detection Engineering to Reduce Exposure Risk

Adversarial exposure validation tests and optimizes SIEM, EDR and XDR detection rules and builds custom detection rules for identified gaps. With the best of breach and attack simulation and automated red teaming, SecOps teams can confidently validate existing detections, identify blind spots, fine-tune detection logic and reduce false positives.

Validate detection gaps

Validate MITRE and threat coverage to pinpoint weak or missing detection rules – and the logs supporting those rules.

Streamline rule creation

Create new detection rules for specific threats by simulating the attack and applying recommended rules for gaps.

Validate IR playbooks

Run live-data exercises to test security operations and response to new and common threats.

Solution Features

Solution Features

Visualize threat coverage and MITRE techniques validated by attack simulation for common threats and active campaigns.

API connections with security controls provide the visibility and insights to validate log collection, threat detection and alerting.

Mitigate threat exposure with recommended detection rules applied directly to your SIEM, EDR and XDR.

Validate if new rules trigger the correct alerts, ensuring that detection remains effective against evolving attack techniques and threats.

Test security processes, policies and playbooks and integrate offensive (red team) and defensive (blue team) strategies for a holistic approach to security validation.

Results & Outcomes

81%

Improvement in security risk score in four months

60%

Increase in security operations team efficiency

50%

Improvement in the prevention of known exploit techniques

Solution Benefits

Accelerate rule creation

Automate and streamline the detection engineering workflow to reduce your mean time to detect (MTTD).

Improve detection accuracy

Reduce false positives and false negatives, giving analysts higher confidence in alerts and decreasing alert fatigue.

Visualize coverage gaps

To prioritize improvements, visualize how well your detections align with threat frameworks like MITRE ATT&CK.

Minimize exposure risk

Reduce the likelihood of a cyber attack evading detection and leading to a material cyber breach.

What our customers say about us

Organizations across all industries choose Cymulate for award-winning breach and attack simulation to validate their security operations.

“When we create a new detection rule in our SIEM that we can’t validate with historical logs, we use Cymulate assessments to generate the appropriate events and see if the rule was successful in its detection. The immediate feedback is useful when fine-tuning our SIEM and practicing detection engineering.”

– Markus Flatscher, Senior Security Manager

“Using the Cymulate integrations, we launch assessments to see if our tools detect them. If they don’t, Cymulate provides mitigation guidance and Sigma rules, and we easily rerun the assessments to validate remediation.”

– Karl Ward, Head of Cybersecurity

Financial Services

“As a MITRE ATT&CK shop, Cymulate quickly shows me top MITRE techniques not prevented or not detected, so I give my detection engineering team more specific data on what needs to be improved.”

– Lead Red Team Engineer

Credit Union

“I am not a programmer, but with Cymulate, I was able to set up a reliable incident response exercise, and I didn’t have to worry about the execution. Overall, we cut the total time spent on the exercise by at least 60%.”

– Head of Cybersecurity Operations

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