Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 289 - 321
Опубликована: Авг. 21, 2024
This
chapter
explores
the
burgeoning
role
of
generative
artificial
intelligence
(AI)
in
realm
cybersecurity.
As
our
digital
world
expands,
so
do
threats
posed
by
malicious
actors.
In
response,
emergence
AI
technologies
presents
a
promising
avenue
for
bolstering
cybersecurity
defenses.
examines
various
applications
fortifying
security,
including
its
use
threat
detection,
anomaly
identification,
and
vulnerability
assessment.
By
harnessing
power
machine
learning
neural
networks,
systems
exhibit
remarkable
capabilities
predicting,
pre-empting,
mitigating
cyber
threats.
Moreover,
this
delves
into
ethical
considerations
potential
challenges
associated
with
deploying
contexts,
emphasizing
importance
responsible
development
deployment
practices.
Ultimately,
exploration
highlights
pivotal
as
guardians
realm,
ushering
new
era
enhanced
measures.
Advances in digital crime, forensics, and cyber terrorism book series,
Год журнала:
2024,
Номер
unknown, С. 83 - 136
Опубликована: Сен. 12, 2024
This
chapter
examines
the
issues
that
traditional
cyber
defense
tactics
confront
and
investigates
limitations
of
static
measures
necessity
for
dynamic
adaptable
alternatives.
Furthermore,
discusses
principles
GenAI
its
approaches,
as
well
an
overview
how
allows
synthetic
data
to
be
developed
train
robust
models
recognize
emerging
threats.
A
separate
part
can
applied
threat
detection
response
in
real-time
operations.
emphasizes
importance
operations
adaptive
security
policies
based
on
GenAI.
full
treatment
predictive
analytics
forecasting,
intelligence
fusion
using
techniques,
is
included
book
chapter.
Finally,
finishes
with
real-world
examples
use
cases
demonstrating
efficacy
strategies
utilizing
GenAI,
ethical
legal
considerations,
future
directions,
new
trends.
Advances in human and social aspects of technology book series,
Год журнала:
2024,
Номер
unknown, С. 101 - 130
Опубликована: Сен. 13, 2024
The
advancement
and
proliferation
of
generative
Artificial
Intelligence
(AI)
tools
models
is
noticeable
in
recent
digital
transformation.
Several
AI
tools,
such
as,
ChatGPT,
CoPilot,
Bard
have
become
famous
received
widespread
adoption
usage.
popularity
every
sector
reflects
its
potential
to
boost
the
cybersecurity
domain
as
well,
particularly
serve
security
analysts.
Despite
ethical,
social,
privacy
implications
AI,
it
can
be
effectively
utilized
various
ways.
Recent
reports
indicated
use
both
offensive
defensive
sides
cybersecurity.
Where
by
attackers
lead
an
increase
number
quality
attacks,
also
applied
same
way
empower
defenders
better
analyze
attacks
develop
advanced
practices.
In
this
chapter,
role
analysts
identifying
mitigating
cyber
threats
has
been
presented
along
with
their
tasks.
addition,
challenges
faced
are
elaborated,
including
information
overload,
alert
fatigue,
complexity
modern
cyber-attacks.
Moreover,
a
discussion
provided
on
how
enhance
threat
detection,
incident
response,
intelligence
analysis.
Furthermore,
characteristics
support
anomaly
pattern
recognition,
visualization
interpretation
data,
automated
simulation
response
case
studies
presented.
Lastly,
ethical
legal
considerations
well
future
directions
emerging
trends
transformative
for
empowering
operations
discussed.
Overall,
research
effort
towards
exploring
positive
prospective
not
only
increasing
robustness
practices
but
capabilities
Intellectual Technologies on Transport,
Год журнала:
2024,
Номер
0(4), С. 5 - 12
Опубликована: Дек. 30, 2024
Abstract.
In
modern
conditions,
companies
need
to
introduce
new
technologies
in
a
timely
manner
and
monitor
compliance
with
information
security
requirements
order
effectively
counter
threats.
Access
control
systems
are
one
of
the
main
tools
that
ensure
an
adequate
level
at
enterprise
simplify
over
provision
access
organization’s
resources.
The
goal:
explore
possibilities
using
artificial
intelligence
for
systems,
highlighting
its
importance
context
increasing
organization
effectiveness
rights
management.
Research
method:
analysis
technologies,
including
large
language
models,
as
well
assessment
practical
cases
AI
implementation
systems.
Both
advantages
risks
associated
automated
considered.
Practical
significance:
results
work
can
be
used
by
organizations
improve
efficiency
management
identified
recommendations
introduction
will
allow
take
more
conscious
approach
improving
processes.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 289 - 321
Опубликована: Авг. 21, 2024
This
chapter
explores
the
burgeoning
role
of
generative
artificial
intelligence
(AI)
in
realm
cybersecurity.
As
our
digital
world
expands,
so
do
threats
posed
by
malicious
actors.
In
response,
emergence
AI
technologies
presents
a
promising
avenue
for
bolstering
cybersecurity
defenses.
examines
various
applications
fortifying
security,
including
its
use
threat
detection,
anomaly
identification,
and
vulnerability
assessment.
By
harnessing
power
machine
learning
neural
networks,
systems
exhibit
remarkable
capabilities
predicting,
pre-empting,
mitigating
cyber
threats.
Moreover,
this
delves
into
ethical
considerations
potential
challenges
associated
with
deploying
contexts,
emphasizing
importance
responsible
development
deployment
practices.
Ultimately,
exploration
highlights
pivotal
as
guardians
realm,
ushering
new
era
enhanced
measures.
