DHS and CISA building an AI-based cybersecurity analytics sandbox
Two of the US government's leading security agencies are building a machine learning-based analytics environment to defend against rapidly evolving threats and create more resilient infrastructures for both government entities and private organizations.
It also will include an automated machine learning"loop" through which workloads – think exporting and tuning data – will flow. "Fully realized, CAP-M will feature a multi-cloud environment and multiple data structures, a logical data warehouse to facilitate access across CISA data sets, and a production-like environment to enable realistic testing of vendor solutions," DHS and CISA wrote in a one-pageof the project."While initially supporting cyber missions, this environment will be flexible and extensible to support data sets, tools, and collaboration for other infrastructure security missions.
No timeline was given for delivery of the project. That lack of specificity and the project's broad goals drew a mix of praise and caution from some in the cybersecurity space.
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