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: Ninja
6/9/2017 | 3:28:33 PM
Condolences, though, on your role as an investigator. It seems it must be hard being an investigator in software security if you are not the one defining who you take down. Like law enforcement, the judicial system, and financial industries, there are countless gray areas in InfoSec. How do you know who to arrest, who to prosecute, and who is better to let go in favor of bigger fish.
Cyber criminals come in all shapes and sizes, too. Some can be tracked and taken down with little resistance while others are part of a larger "army" who can be unforgiving once they know you have them in your sights.
But kudos again for giving back, and digging under the casing. With a focus on code, perhaps you'll be in better shape than as an investigator. Don't get me wrong, boy do we need InfoSec investigative work. But I don't envy those who do it.
Nice to see a personal story once in a while here on DR.