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Comments
How SaaS Adoption Is Changing Cloud Security
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Charlie Babcock
Charlie Babcock,
User Rank: Ninja
9/25/2014 | 6:47:58 PM
Security moving in from the perimeter
Good discussion, Tal, and another signpost that security has to come in from the perimeter and do more to keep an eye on what's actually going on with the application.
TalKlein
TalKlein,
User Rank: Author
9/25/2014 | 7:23:24 PM
Re: Security moving in from the perimeter
Thanks, Charlie! I know it's hard in an age of Shellshocks and Heartbleeds to actively think about adaptation rather than prevention - But hopefully security leaders out there are minding the gap.
Marilyn Cohodas
Marilyn Cohodas,
User Rank: Strategist
9/26/2014 | 11:23:03 AM
Re: Security moving in from the perimeter
There's been a lot of discussion about the end of the perimeter, but Tal did a really nice job breaking down why and how in the era of web services these attacks are so easily missed! The old saying "never assume" definitely does not apply in the cloud.    
TalKlein
TalKlein,
User Rank: Author
9/26/2014 | 4:53:29 PM
Re: Security moving in from the perimeter
Thanks, Marilyn - I'm glad to see these issues are rising to the forefront of security discussions.
Stratustician
Stratustician,
User Rank: Moderator
9/29/2014 | 1:39:12 PM
Re: Security moving in from the perimeter
It's nice to see a wider inclusion of other threat data such as social evidence included in security models. i think it's quite easy for people to get comfortable relying on traditional controls such as endpoint, authentication and encryption, but as more apps become SaaS based, it's going to come down to more heuristic information such as comparing how attacks are carried out versus as the author states, what is possible by a human.
TalKlein
TalKlein,
User Rank: Author
9/29/2014 | 2:43:09 PM
Re: Security moving in from the perimeter
Well put! I completely agree. In the article I laid out three mechanisms which we use today:

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. 

 

 


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