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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: Author
6/8/2015 | 12:36:22 PM
To your next point - no network architecture or data center is ever 100% safe. The security that we deploy is only as good as the policies, configurations, and best practices that we incorporate around it all. I have to argue that those organizations facilitating the architecture going into the modern cloud and data center environment are very much interested in more intelligent security practices. A breach will cost them customers, reputation, and - in this fast-paced world - potentially their entire business. It's not perfect out there - but it certainly is improving.
Now, to cloud security; we're seeing that it's certainly evolving and doing so at a very fast pace. We have yet to see ANY major cloud breach within some of the biggest cloud providers. Many of the biggest breaches have all happened with on-premise resources. And yes, I'll take a slightly more positive approach here and show that the way we secure our data centers today are a bit better than "dismal." Cloud providers don't want a legal process... they also really don't want negative public attention. So they'll do whatever they can to secure these multi-tenant environments. I'm not talking about some unrealistic pristine cloud security architecture here. I'm being realistic. The way we have created better network and cloud intelligence allows you to see more of the "bits" which are traveling the wire.
As for any open-source cloud management technology out there - yes, there are still some challenges to overcome. But OpenStack - when deployed properly - is a powerful cloud orchestration and API layer. A good security architecture will work with security to ensure no critical data is ever close to any holes. Joe - you take a very bleak approach to cloud and security in your comments. In working with data centers, cloud providers, and many security professionals - it's clear that big progress has been made around the security of your data. But you're right - it's not perfect. And, there are more breaches potentially happening as we store more data in the cloud and within our own data centers. The only way to work around this is to continue to improve the capabilities of the products in the field - and hope that they're not too "dismal" moving forward.