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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: Guru
8/8/2013 | 7:07:35 PM
The NIST Workshops on the Cyber Security Framework are revealing an underlying reluctance to harmonize standards associated with resistance to regulation. Here there are trust issues associated with the commitment to voluntary compliance. Beyond that Congress is split on what kind and whether incentives should be offered especially on indemnification of liability.
And then there is the issue of moral hazard faced by industry participants. If they know of threats and risks and don't act on behalf of their customers and the public, there are consequences.