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: Author
4/15/2015 | 3:36:33 AM
Great article Daniel. Nearly all networks have authenticated users with access and rights, who carry out the kind of malicious or careless behavior that often leads to security breaches. 2015 does seem set to be a huge year for tackling the insider threat, as we've seen from our recent research report of 500 IT professionals. More and more organizations are now planning to launch an insider threat program and within that program they are looking to take a joined-up approach of better user education and enhanced user technology solutions. The good news is that the technology is available today to help secure user access to company resources and protect users from their own casual behavior.