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Everything You Need to Know About DNS AttacksIt's important to understand DNS, potential attacks against it, and the tools and techniques required to defend DNS infrastructure. This report answers all the questions you were afraid to ask.
Domain Name Service (DNS) is a critical part of any organization's digital infrastructure, but it's also one of the least understood. DNS is designed to be invisible to business professionals, IT stakeholders, and many security professionals, but DNS's threat surface is large and widely targeted.
Attackers are causing a great deal of damage with an array of attacks such as denial of service, DNS cache poisoning, DNS hijackin, DNS tunneling, and DNS dangling. They are using DNS infrastructure to take control of inbound and outbound communications and preventing users from accessing the applications they are looking for. To stop attacks on DNS, security teams need to shore up the organization's security hygiene around DNS infrastructure, implement controls such as DNSSEC, and monitor DNS traffic
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
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.