Dark Reading is part of the Informa Tech Division of Informa PLC
This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.
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.
Tweet This
1 Comments
User Rank: Apprentice
9/21/2016 | 12:36:46 PM
That said, Tesla's remote breach appears to demonstrate a lack of internal validation -- it was possible, for example, to open the trunk while the car was in motion, which is something you'd expect code to prevent.
If you allow remote control, a logical question to ask is, "what happens when a hacker gains remote access?" It's probably unreasonably optimistic to assume a remote attack isn't possible; it's also probably unappealing to mitigate this possibility by requiring confirmation -- especially that which requires physical interaction with the device -- whenever remote control is requested. Security and usability are opposites...