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Improving Enterprise Cybersecurity With XDREnterprises are looking at eXtended Detection and Response technologies to improve their abilities to detect, and respond to, threats. While endpoint detection and response is not new to enterprise security, organizations have to improve network visibility, expand data collection and expand threat hunting capabilites if they want their XDR deployments to succeed. This issue of Tech Insights also includes: a market overview for XDR from Omdia, questions to ask before deploying XDR, and an XDR primer.
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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User Rank: Author
9/29/2014 | 2:43:09 PM
1. The behavioral standard deviation of the application in the context of the organization using it.
This will continue to be useful because applications in the contexts of their organizations have unique behavioral fingerprints, we will continue to build on these in collaboration with the app vendors themselves. Ideally these would be metered via APIs, but today we supplement some of them through other vectors such as Identity and Access API's (provided by Okta or ADFS), and our SAML-based reverse proxy.
2. The realm of human capability.
This is the low hanging fruit that, as you astutely stated, will become largely commodotized over time and likely adopted by the SaaS vendors themselves as a value added component of their service, like 2FA and IP restrictions. Where we think we'll add value here is by having a broader dataset that encompasses users across several SaaS platforms.
3. The unique behavioral fingerprint of a user.
This is the big one, this is where we're investing 60% of our R&D, hiring the best machine learning engineers, and the brightest heuristic scientists. We believe this is where the competitive battle lines will be drawn.