Growing amounts of data to be analyzed are creating bottlenecks for cyber analysts, but using AI can help automate the process and reduce workload. The result is dramatically reduced time to outcome, recorded actions in knowledge bases for training of new cyber analysts, and the general opening of the field for new opportunities. The implementation of AI will improve the state of cybersecurity.
IEEE is focused on standardizing the labeling of cybersecurity data to effectively train AI. In 2021, we will run the Grand Challenge of applying AI/ML to cybersecurity.
The Labeling program will bring together industry stakeholders to build consensus on priority issues for standardization activities on these topics and provide a platform for IEEE thought leadership to industry. The Grand Challenge initiative will enable collaboration and attract additional participants with common interests between the activity and Grand Challenge participants. As standards opportunities are identified, the activity participants will partner with IEEE societies to place new standards projects that align with society areas of expertise.
We welcome new participants from large and small corporations, academia, industry, security community in industry, government agencies, and any individuals that are interested in Labeling Cybersecurity Data for AI Automation.
Possible Industry Outcomes
Proposed deliverables and outcomes from this Industry Connections activity may include documents (e.g., white papers, reports), proposals for standards and guidelines, conferences, webinars and workshops, databases, computer code, etc.
How to Participate
To learn how to join the team, please express your interest by sending an inquiry to: