ALTR, an innovator of automated cloud data control and security solutions, recently announced the promotion of James Beecham to Chief Executive Officer. VMblog had the opportunity to connect with Beecham and get his thoughts on the cloud data control and security market, as well as find out what the next phase of expansion for the company looks like over the next 6-12 months.
VMblog: Can you
provide a sense of where the market is going or maturing when it comes to
automated cloud data control and security?James Beecham: Automation of almost every aspect of data is a growing trend,
especially in the face of company layoffs. We are seeing data projects continue
to receive funding, however, the teams tasked with carrying out the data
mission are starting to reduce in size. In order to do more with less,
companies are looking at software which can help replace many person-hours with
simple automated systems. Discovery and classification of cloud data is
trending with automation as are data access and security.
VMblog: What
type of manual tasks does automated cloud data control address and
alleviate?
Beecham: One of the biggest areas automation is helping is reducing the
number of times you get an email or a phone call which states, "did you know
xyz group put customer PII into a Snowflake database for use by a third party?"
These type of scramble drills can be reduced or removed completely with
automation. By combining discovery and classification automation with tag-based
access policy automation, new sensitive data can be discovered and properly
policed without ever needing human interaction.
VMblog: In
general what are you seeing in terms of the data warehouse market
ecosystem, what is becoming of importance to companies?
Beecham: We are seeing a couple of interesting trends related to data
warehouse which you might not expect. First, the rise of data companies
building their products directly on top of a platform like Snowflake. According
to Snowflake, the four fastest companies to grow from $1M in ARR to $100M ARR
are all built on top of Snowflake. Another trend is the consolidation of
tooling and re-centralizing of decentralized data. Data from every corner of
the business is being consolidated into a platform like Snowflake, but then the
business copies and sends that data into many different systems. With the
advancement of Python support for Snowflake and programs like Snowflake Native
Apps and Streamlit, data can stay in Snowflake and application development can
occur directly on top of the data.
VMblog: What
challenges do organizations face when properly securing their cloud data?
Beecham: There are two major challenges faced by data and operations teams
today-both can be solved with automation. The first is knowing which data needs
to be secure and controlled with access policy. There will certainly be some
data sets which can be marked public and openly consumed by anyone in the
business. There will also be some data sets which need to be in masked or
obfuscated form for most, but plain text access is required for some. Then
there are certain data sets which are extremely sensitive and must only be
accessed by a select few people or processes. Knowing which data sets fall into
which category can be a challenge without automated discovery and
classification. Combining that with an automated tool for access controls can
make the two systems work hand-in-hand to provide immediate access controls for
data, reducing risk and time to value of data.
VMblog: What
are some of the misconceptions security or IT leaders have regarding data
control or security?
Beecham: One misconception, or learning if you will, that we have noticed
is the belief that it's possible to manage and scale a homegrown access control
or security solution. We have seen extremely talented teams build an initial
version of a security and access control automation solution only to learn the
maintenance and expansion use cases will take too much time and effort. The
cloud data platforms do provide powerful and enticing features for security and
control, but thinking about the steady-state use of these features, and the
investment involved, can sometimes be overlooked.
VMblog: When
evaluating the need for automated data access control and security
solutions, what is important for decisions makers to consider?
Beecham: It will be very difficult to find a one size fits all solution to
automate security and access across all data platforms. The vendors that claim
single-pane of glass are genuinely trying, but we have seen the varying
differences in data stores lead to unfinished deployments. Finding solutions
that work for most use cases and supplementing with additional solutions where
the data store is either older or less capable will lead to the company having
the quickest success.
VMblog: Can you
discuss the nature of your relationship with Snowflake?
Beecham: ALTR has been one of, if not the most, innovative partners with
Snowflake in the data governance and data security space. We are a Premier
partner within their organization and lead the charge of integrating natively
within the database vs external proxy-like solutions. We are still the only
true SaaS platform available for data governance and data security, and we
continue to invent new and extensive data security solutions for Snowflake
including data tokenization, data access rate limits, and, soon to come,
biometrically authenticated Snowflake queries! All of this leads to Snowflake
sellers, solution architects, and the market In general adopting ALTR at a
rapid rate. Our Free Forever pricing plan continues to put ALTR software in the
hands of more users every day, giving us the best chance at building exactly
what the market is looking for with an automated data governance and access
control solution.
VMblog: Can you
discuss the ALTR's next phase of expansion over the next 6-12 months?
Beecham: ALTR is continuing to get user feedback every day from our Free
version of the platform. Using this feedback we are improving the current
offering faster than any other platform and adding new features the market
requires rapidly. Also, look for ALTR to very rapidly expand our footprint in
the cloud data warehouse space to ensure our customers have coverage where they
need it most.
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