Enhancing data security and compliance in the XaaS Era 

Recent
research
from

IDC
found
that
85%
of
CEOs
who
were
surveyed
cited
digital
capabilities
as
strategic
differentiators
that
are
crucial
to
accelerating
revenue
growth.
However,
IT
decision
makers
remain
concerned
about
the
risks
associated
with
their
digital
infrastructure
and
the
impact
they
might
have
on
business
outcomes,
with
data
breaches
and
security
concerns
being
the
biggest
threats.  

With
the
rapid
growth
of
XaaS
consumption
models
and
the
integration
of
AI
and
data
at
the
forefront
of
every
business
plan,
we
believe
that
protecting
data
security
is
pivotal
to
success.
It
can
also
help
clients
simplify
their
data
compliance
requirements
as
organizations to
fuel
their
AI
and
data-intensive
workloads.  

Automation
for
efficiency
and
security 

Data
is
central
to
all
AI
applications.
The
ability
to
access
and
process
the
necessary
data
yields
optimal
results
from
AI
models.
IBM^®
remains
committed
to
working
diligently
with
partners
and
clients
to
introduce
a
set
of
automation
blueprints
called

deployable
architectures.  

These
blueprints
are
designed
to
streamline
the
deployment
process
for
customers.
We
aim
to
allow
organizations
to
effortlessly
select
and
deploy
their
cloud
workloads
in
a
way
that
is
tailor-made
to
align
with
preset,
reviewable
security
requirements
and
to
help
to
enable
a
seamless
integration
of
AI
and
XaaS.
This
commitment
to
the
fusion
of
AI
and
XaaS
is
further
exemplified
by
our
recent
accomplishment
this
past
year.
This
platform
is
designed
to
enable
enterprises
to
effectively
train,
validate,
fine-tune
and
deploy
AI
models
while
scaling
workloads
and
building
responsible
data
and
AI
workflows. 

Protecting
data
in
multicloud
environments 

Business
leaders
need
to
take
note
of
the
importance
of
hybrid
cloud
support,
while
acknowledging
the
reality
that
modern
enterprises
often
require
a
mix
of
cloud
and
on-premises
environments
to
support
their
data
storage
and
applications.
The
fact
is
that
different
workloads
have
different
needs
to
operate
efficiently.  

This
means
that
you
cannot
have
all
your
workloads
in
one
place,
whether
it’s
on
premises,
in
public
or
private
cloud
or
at
the
edge.
One
example
is
our
work
with
CrushBank.
The
institution
uses
watsonx
to
streamline
desk
operations
with
AI
by
arming
its
IT
staff
with
improved
information.
This
has
led
to
improved
productivity
and
,
which
ultimately
enhances
the
customer
experience.
A
custom
hybrid
cloud
strategy
manages
security,
data
latency
and
performance,
so
your
people
can
get
out
of
the
business
of
IT
and
into
their
business. 

This
all
begins
with
building
a
hybrid
cloud
XaaS
environment
by
increasing
your
data
protection
capabilities
to
support
the
privacy
and
security
of
application
data,
without
the
need
to
modify
the
application
itself.
At
IBM,
security
and
compliance
is
at
the
heart
of
everything
we
do.  

We
recently
expanded
the

IBM
Cloud
Security
and
Compliance
Center,
a
suite
of
modernized
cloud
security
and
compliance
solutions
designed
to
help
enterprises
mitigate
risk
and
protect
data
across
their
hybrid,
multicloud
environments
and
workloads.
In
this
XaaS
era,
where
data
is
the
lifeblood
of
digital
transformation,
investing
in
robust
data
protection
is
paramount
for
success. 

XaaS
calls
for
strong
data
security 

IBM
continues
to
demonstrate
its
dedication
to
meeting
the
highest
standards
of
security
in
an
increasingly
interconnected
and
data-dependent
world.
We
can
help
support
mission-critical
workloads
because
our
software,
infrastructure
and
services
offerings
are
designed
to
support
our
clients
as
they
address
their
evolving
security
and
data
compliance
requirements.
Amidst
the
rise
of
XaaS
and
AI,
prioritizing
data
security
can
help
you
protect
your
customers’
sensitive
information. 

Watch
“What
is
XaaS?”
led
by
IBM
VP
Chuck
Smith