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The 10 Most Impactful Types of Vulnerabilities for Enterprises TodayManaging system vulnerabilities is one of the old est - and most frustrating - security challenges that enterprise defenders face. Every software application and hardware device ships with intrinsic flaws - flaws that, if critical enough, attackers can exploit from anywhere in the world. It's crucial that defenders take stock of what areas of the tech stack have the most emerging, and critical, vulnerabilities they must manage. It's not just zero day vulnerabilities. Consider that CISA's Known Exploited Vulnerabilities (KEV) catalog lists vulnerabilitlies in widely used applications that are "actively exploited," and most of them are flaws that were discovered several years ago and have been fixed. There are also emerging vulnerabilities in 5G networks, cloud infrastructure, Edge applications, and firmwares to consider.
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.