Creating Appsec metrics and visualisation

Track:DevSecOps
When:Tue PM-1
Where:Maulden
OrganizersDinis Cruz Dinis Cruz
ParticipantsAjy Gupta Ajy Gupta , Daniel Kefer Daniel Kefer , Foteini Karantoni Foteini Karantoni , Francisco Novo Francisco Novo , Jay Mbolda Yamdjeu Jay Mbolda Yamdjeu , Jim Newman Jim Newman , John DiLeo John DiLeo , John Ellingsworth John Ellingsworth , Mario Platt Mario Platt , OSS Bot OSS Bot , Phil Winstanley Phil Winstanley , Rafael Jimenez Rafael Jimenez , Roger Comastorres Roger Comastorres , Yasmin Martin Yasmin Martin , Zuhal Vargun Zuhal Vargun
Remote ParticipantsAndré Rainho André Rainho

Why

You can’t improve what you don’t measure. Its important to measure the activities as part of SDL and drive future improvements to the application security program. Metrics show business value to stakeholders and help drive further investments in the program. Metrics also help in figuring out whats working and whats not.

Metrics used should be meaningful and not there for the sake of just metrics (metric fatigue?).

What

The goal of this User Session is to find ways to create meaningful metrics and dashboards for AppSec Professionals like Mean Time To Remediate, Mean Time To Find etc.,

This session also works what metrics are effective and meaningful. What can you do to get started and different challenges, you might come across.

Content

  • What is the difference between metrics and measurement.
  • How to get started and different challenges.
  • What are the best practices for using tools like ELK or prometheus?
  • How to visualise the data collected in actionable/meaningful graphs.
  • Learning curve of tools like graphviz, dot format, etc.,

Outcomes

This Working Session will publish:

  • A list of meaningful metrics to measure application security program
  • A guide on how to calculate them using open source tools.

Who

The target audience for this Working Session is:

  • Developers
  • Security professionals
  • DevSecOps
  • Security champions

References

Register as participant

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