Page 5 - SASE - SSE Decoded

DTM: What are the key drivers for SASE adoption in India and globally?

Gurinder: Following are some of the primary drivers of SASE adoption:

Increasing adoption of SAAS application and COVID-driven switch to remote work continues
cloud services. A Netskope Cloud and Threat with 70% of users working remotely, whereas in
Report/CTR - July 2021 found that the average Feb 2020, only 33% of enterprise workers were

mid-sized enterprise with 500-2000 users working remotely. When the pandemic started
accesses at least 805 distinct apps and cloud in March 2020, 64% of workers shifted to
services, up by 22% from 690 distinct apps and remote work profiles, and the use of
cloud services in the February 2021 CTR. collaboration apps increased by 80%.

Increasing data movement within and Economic uncertainty requires cost savings,
between cloud app instances increased 300% c o n s o l i d a t i o n , a n d 3 r d p a r t y
in the last 30 days of employment for users, contractor/workforce access.
with 74% of data going to Google Drive Need for a flexible, agile platform to prepare for

personal instances. future of work and protect data for any user,

Increasing cloud-enabled threat delivery to device, and location.
68% in July 2021, up from 61% in Feb 2021 for
malware delivery.

DTM: Your views on the Need for SASE.

Gurinder: Perimeter is dead from traditional VPN through that provides immense scale
because of traffic inversion, zero trust VPN offering in this up and down capabilities with

where 80% of the critical data framework, or cloud DLP all the features managed by
i s n o w c r e a t e d a n d solution, which is more refined c e n t r a l i z e d p o l i c y
collaborated on the cloud w.r.t to new DLP use case for management and forensics

instead of on-premise. Hence, collaborations apps and analysis.
traditional security controls i n s t a n c e a w a r e n e s s Additionally, SASE solutions are
and Network controls also capabilities inside the SAAS focused on more contextual
started falling apart- and applications or ML/AI-based policy capabilities where

there was a move to a more Data Loss. policy can be defined for data,
uniform USER & DATA Centric Prevention Models for image location, and based on the risk
security solution. analysis or screen captures or profile of different activities for

This new architecture i.e., SASE usage of UEBA for insider threat any application or website
c o m e s w i t h s o m e k e y protection and last but not the a c c e s s t h r o u g h d i r e c t

scalability and flexibility least Microservices based networking and on-premise
advantages, whether its cloud-native architecture - scenario.
removal of back-haul traffic -

MAY 2022