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How Machine Learning, AI & Deep Learning Improve CybersecurityMachine intelligence is influencing all aspects of cybersecurity. Organizations are implementing AI-based security to analyze event data using ML models that identify attack patterns and increase automation. Before security teams can take advantage of AI and ML tools, they need to know what is possible. This report covers:
-How to assess the vendor's AI/ML claims
-Defining success criteria for AI/ML implementations
-Challenges when implementing AI
Incident Readiness and Building Response Playbook
In this special report, learn the Xs and Os of any good security incident readiness and response playbook.
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1 Comments
User Rank: Apprentice
12/14/2017 | 8:55:40 PM
The FDA's Cybersecurity fact sheet, Premarket, and Postmarket Cybersecurty guidelines address these issues. Here are the links:
hxxps://www.fda.gov/downloads/MedicalDevices/DigitalHealth/UCM544684.pdf
hxxps://www.fda.gov/downloads/medicaldevices/deviceregulationandguidance/guidancedocuments/ucm356190.pdf
hxxps://www.fda.gov/downloads/medicaldevices/deviceregulationandguidance/guidancedocuments/ucm482022.pdf
We need to be actively addressing the issues from within the industry rather than just Kicking Puppies from the outside. The experts I know are actively engaged in the Medical Device industry helping to fix these decades old design, implementation, and operational issues, rather than regurgitating that which has been published over and over again by a variety of boutique research companies. Yes – the problems with medical devices, products, and the HDOs who consume them, can be extremely serious denending on the situaton. This cannot be overstated enough. WannaCry clearly highlighted this in a huge way this past year. But stating that the "healthcare industry is underestimating security threats", without addressing what is actually being done to address it by both the HDOs and device manufacturers, presents a very lopsided picture and does the overall effort a significant injustice.
My comments are my own.