XDR Implementation And AI Use Cases
Summary
TLDRThe panel discussion explores the evolution and necessity of Extended Detection and Response (XDR) in cybersecurity, contrasting it with traditional antivirus solutions. Panelists emphasize the holistic approach of XDR, which integrates various security tools for comprehensive threat detection and response. They discuss challenges in implementing XDR, such as legacy system compatibility and cost, and highlight the role of AI and ML in enhancing XDR's effectiveness. The conversation also touches on the importance of adapting security strategies to protect against modern threats, including ransomware attacks on mobile devices.
Takeaways
- đ The security landscape is evolving, necessitating the development of more advanced security tools such as XDR (Extended Detection and Response).
- đ ïž Traditional antivirus solutions are no longer sufficient to address modern cybersecurity threats, leading to the adoption of EDR (Endpoint Detection and Response) and XDR.
- đ XDR provides a comprehensive view by integrating with various security tools, offering a single pane of glass for visibility across the IT ecosystem.
- đĄ The implementation of XDR is crucial for organizations with a large number of assets, as it aids in reducing the cost and effort of manual monitoring.
- đ The use of AI and ML in XDR solutions enhances their effectiveness by providing actionable insights and automating responses to security incidents.
- đ Cloud-native XDR components are emerging, offering native capabilities and extending their reach to other platforms like IoT and OT.
- đŒ The transition to XDR requires a change in mindset, particularly among organizational boards, to recognize its value over traditional antivirus solutions.
- đïž Legacy systems can pose a significant challenge to the implementation of XDR due to their limited capacity to support advanced security solutions.
- đ XDR can help detect and respond to abnormal behaviors, such as unusual data transfers or access patterns, by correlating data from various sources.
- â° Timely response to security incidents is critical, and XDR solutions can automate these responses, providing a proactive approach to cybersecurity.
Q & A
What is XDR and how has it evolved from traditional security solutions?
-XDR, or Extended Detection and Response, is a comprehensive security solution that evolved from traditional siloed security tools like antivirus, IDS, and IPS. It provides a holistic view of an organization's security posture by integrating data from various security tools, including endpoint, network, cloud, and email servers, to detect and respond to threats more effectively.
Why is XDR considered an improvement over EDR and NDR?
-XDR is considered an improvement over EDR (Endpoint Detection and Response) and NDR (Network Detection and Response) because it offers a unified platform that correlates data from multiple security layers, providing a single pane of glass for visibility. This allows for more effective detection of threats and faster response times, as opposed to the isolated approach of EDR and NDR.
What are the challenges in implementing XDR in an organization?
-Implementing XDR can be challenging due to several factors, including the integration with legacy systems, deciding on the deployment location, and the mindset change required from the board members. Legacy systems may not have the capacity to support XDR, and the board may be resistant to adopting a more advanced and costly solution compared to traditional antivirus software.
How does XDR help in reducing security costs?
-XDR helps in reducing security costs by automating threat detection and response, thereby reducing the need for manual monitoring. It provides a centralized view of security incidents, making it easier to manage and respond to threats, which can lead to cost savings in the long run.
What role does AI and ML play in XDR solutions?
-AI and ML play a significant role in XDR solutions by enabling the system to learn and adapt to normal and abnormal behaviors within the organization. They can help in detecting anomalies, automating responses to security incidents, and improving the overall effectiveness of the XDR platform.
Can you provide an example of how XDR can detect abnormal behavior within an organization?
-An example of XDR detecting abnormal behavior could be a sudden large data transfer from the network to an external source that deviates from the normal behavior. XDR, by integrating with network and endpoint security, can identify such anomalies and provide actionable insights for security teams to respond accordingly.
What are some use cases where XDR can be beneficial for an organization?
-XDR can be beneficial in various scenarios, such as detecting and responding to sophisticated phishing attacks, identifying unauthorized access to sensitive information, and providing a comprehensive view of the security posture across different platforms, including IoT and OT networks.
How does XDR help in managing security incidents?
-XDR helps in managing security incidents by providing a centralized platform that correlates data from various security layers. This allows security teams to have a complete view of an incident, making it easier to investigate and respond to threats more effectively.
What is the importance of a single pane of glass in XDR solutions?
-The single pane of glass in XDR solutions is crucial as it provides a unified view of an organization's security posture, enabling security teams to monitor, detect, and respond to threats in real-time across all security layers, which improves the efficiency and effectiveness of security operations.
How does XDR integrate with cloud-native security tools?
-XDR integrates with cloud-native security tools by leveraging APIs and other integration methods to collect and correlate data from cloud platforms like GCP, AWS, and Azure. This allows for a comprehensive view of security incidents across both on-premises and cloud environments.
Outlines
đ Evolution of Security Solutions and XDR Adoption
The conversation begins with a discussion on the use of antivirus software and the evolution of security tools to Extended Detection and Response (XDR). The panelists acknowledge the shift from basic antivirus to more advanced security measures due to the evolving threat landscape. The discussion highlights the transition from isolated security tools to integrated solutions like XDR, which provides a comprehensive view of an organization's security posture by communicating with various security tools across the network, endpoints, and cloud services. The panelists also emphasize the importance of insights from experienced professionals in dealing with these advanced security solutions.
đĄ Benefits and Challenges of Implementing XDR
This segment delves into the practical aspects of XDR implementation, emphasizing its benefits in reducing costs and improving security monitoring, especially in large environments with numerous assets. The panelists discuss the challenges faced when transitioning to XDR, such as the integration with legacy systems, the cost implications compared to traditional antivirus and EDR solutions, and the need for a change in mindset among organizational decision-makers. The conversation underscores the importance of XDR in addressing the increasing sophistication of cyber threats and the potential of AI integration to enhance its effectiveness.
đ€ AI and ML in XDR: Use Cases and Future Prospects
The final paragraph focuses on the role of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing XDR capabilities. The panelists explore use cases where AI and ML can be leveraged to detect anomalous behavior and respond to security incidents more effectively. They discuss how XDR, when integrated with AI and ML, can create a baseline of normal behavior for an organization and identify deviations from this norm, allowing for proactive security measures. The conversation also touches on the potential of XDR to adapt to the unique needs of different organizations and the upcoming panel session that will explore practical AI use cases in cybersecurity.
Mindmap
Keywords
đĄAntivirus
đĄXDR (Extended Detection and Response)
đĄEDR (Endpoint Detection and Response)
đĄNDR (Network Detection and Response)
đĄSiloed Security Tools
đĄSecurity Information and Event Management (SIEM)
đĄIntegration Compatibility
đĄCost
đĄLegacy Systems
đĄAI and ML in Cybersecurity
Highlights
The evolution of security tools from antivirus to Extended Detection and Response (XDR) to address the changing threat landscape.
Almost everybody uses antivirus, but the adoption of XDR and EDR is still growing.
The necessity for a comprehensive security solution that doesn't operate in silos, leading to the development of XDR.
XDR provides a single pane of glass for visibility across the entire IT ecosystem, including network, cloud, and endpoints.
The importance of XDR in reducing costs associated with security operations by automating responses and improving threat detection.
Challenges in XDR implementation, including integration with legacy systems and the need for a change in mindset among organizational boards.
The role of AI and ML in enhancing XDR capabilities, such as detecting anomalous behavior and automating responses to security incidents.
Use case of XDR in identifying and responding to abnormal data transfers within an organization's network.
How XDR can help in detecting and managing access to sensitive information outside of normal business hours.
The impact of XDR on vulnerability management and the potential for AI to automate responses to security incidents.
The need for organizations to develop use cases for XDR that are tailored to their specific business needs.
The upcoming panel discussion on practical AI use cases in cybersecurity, indicating the growing interest in AI's role in security.
The panelists' backgrounds in threat intelligence and their insights into the practical applications of XDR and AI in security.
The potential of XDR to help organizations take proactive actions against security threats.
The increasing trend of attackers targeting mobile devices and the importance of security solutions like XDR in protecting against such threats.
The challenges of integrating XDR with multiple security technologies and the need for a holistic approach to security.
The future of XDR with cloud-native components and its extension to other platforms like IoT, indicating the ongoing evolution of security solutions.
Transcripts
oh is it sorry yeah we were outside hi
hi good morning at
breakfast
coffee the energy is very
low okay after the session after the
session I think yeah we will'll fill you
with
energy that's okay um how many are using
antivirus almost everybody almost
everybody okay who's using xdr and ndr
EDR xdr xdr oh God so actually you
should be speaking not us
then right why did you use xdr and where
did we come from okay I'm it's basically
the security threat landscape has been
evolving and we've been dealing with it
and our tools also have been evolving
with the antivirus 2 extended detection
and response or endpoint detection and
response right it started off like that
yeah there were some basic stuff
available but not good good enough so
that's where the evolution came to
ndr and not sufficient it's Silo and so
on so on right we'll we'll get that
insights from our eminent panelists and
these are like you know when I spoke to
them individually each of them carry a
whole lot of experience dealing with
these kind of things so I thought this
conversation will be
helpful we are missing one panelist at
still he's on way so we'll try to get
yogesh as soon as he's available we'll
start start with him as
well Nanda I'll start with you
question okay people are using xdr
definitely but it's always good to hear
a concise precise definition definition
of xdr what it is and how did we reach
here right good morning everyone um so
disclaimer whatever I'm discussing and
sharing it is all belongs to it is not
belongs to my current organization it is
all all it is all based on my knowledge
only for sharing Purp
uh let's give you know the context how
the XTR is evolved right the yearli
security uh solution right it more
working on the silos like you know
antivirus or IDs IPS solution it is are
more on detection technology tool it be
working as a silos it will not talk to
each other right and mid 2000 right uh
the Sim tool is evolved right so Sim
everybody knows it is a security
information and event management tool it
will collect the locks from the
different sources and you know correlate
and give the analysis of what is doing
it is giving some at least some
visibility on the overall I know uh the
network then um The Sim is right it is
there in for 13 years I know uh and also
there is a lack of you know the data
which is received from the different
sources very massive so there is no
actionable item you know to be done from
the S so it give only the general you
know the correlation Etc
in uh 200 uh 3 uh 13 so 3 I believe you
know the EDR is come to the picture
right is a endpoint detection response
it is more on related to the endpoint
detection response right so if the
endpoint is compromised or in endpoint
is having any malicious activity that
will be detected and any and you know
isolated from the from the network Etc
then it is only the restricted to the
end point right then again you know
after sometimes the ndr is come to the
picture Network detection and response
the the it it was you know completely
evolving right then 200 um uh 16 or 17 I
believe the xdr component is come so it
is a it is a comprehensive solution
which will talk to all the security
tools it's not working as a silos it
will be talking to the network and Cloud
as well as the you know the uh endpoint
and email server Etc it will give the
comprehensive view of how the traffic is
going what is the normal behavior what
is the anomal activities Etc so the xdr
will give the more context in terms of
you know the single pan of water single
pain of glass right it'll give the you
know overall picture to the you know
Security operation team to take a
proactive actions and also the exteror
right it is it is a even it is it is
evolving it is not you know to reach the
you know the top level right it just
keep on evolving the reent days right
you know still there is a know um
challenge in xdr solution in terms of
integration compatibility Etc but still
it is evolving and also the recent days
there are Cloud native xdr components
also coming in like you know gcp AWS and
asour they have know their own uh xdr
tool which have more you know native
capability of xdr and also it'll be
extended to the other platform like you
know uh o OT iot platform which is more
isolated network uh is a air gap Network
that is also the xdr into the come to
the picture so it is completely evolving
so the very simple term is xdr is the
single pan of glass which will give the
overall visibility to the entire uh it
ecosystem fantastic thank you kames you
want to add anything
to yeah so already highlighted if he
imagine you know if you have a more than
10,000 asset in your environment it's uh
quite challenging for you if you are not
using such type of tools that means you
have to do eyeball monitoring right now
eyeball monitoring is very difficult
that means our employee actually you
know performing all these activity 24
by7 365 days uh the cost right because
security is all about cost so xdr
actually helped to reduce cost as well
you know you can say like the difficult
part for any ceso when you are reaching
out to finance guy and saying can you
give some budget you know first question
mark actually you know it's very
difficult to get so such tool actually
helping us to do this uh everybody here
actually you know raise a hand they are
using antiv virus but data shows that
more than 80 to 90% people is still
actually not using antivirus now I'm
talking about antivirus means is not you
are talking about your actually
organizational devices I'm talking about
your mobile devices right in here in
this Hall also you can think how many of
we are using you know antivirus in our
mobile devices right more than 80 to 90%
people are not using and uh you know my
background is mainly is a threat int so
now attacker is start targeting mobile
devices now I'm giving example if you're
not using such devices if I ATT a Target
your mobile device and ask for
ransom now Ransom you can say maybe you
know a small amount they can ask okay
you can you have to pay uh
$1,000 now because we have a critical
data and you know we have to pay we
don't have any option so you can think
like this attacker start targeting as
you know that ransomizer service is
going on I clearly said that this is not
one type of you can say attack method
which every country is using but but
it's a business right we are trying to
protect our environment they are trying
to actually generate a revenue so xdr
actually help here and definitely after
AI
integration the you know effectiveness
of such solution is a more so just I'm
little bit yeah definitely after that I
can start provide more insight on this
manik G just can you give me some ideas
about I mean the kind of challenges one
would experience when implementing an
xdr see he talked about several things
one it's a cost as a challenge compared
to normal antivirus and edrs there xdr
are slightly more comp cost costly
apologies right and uh also talked about
having integration essentially it needs
to kind of work with multiple security
Technologies and hence something what
challenges one would expect and kind of
experience in this sixd
implementation uh thanks for the
question thanks ceso platform for this
opportunity and as a disclaimer um All
My Views are all from my uh personal
experience and nothing to do with my
personal and previous
organization um see the first step the
first roadblock which um anyone would
experience is the Legacy systems because
Legacy
systems uh capacity to take the load of
xdr would never be POS possible um
second thing is uh deciding which one to
be done where first whether we do it at
the remote location or doing it the the
local location uh and deployment is
always a big challenge though we may
have all the state of art ad uh and
remote deployment tools but uh in an
Enterprise where there may be a huge um
assets uh inventory uh implementation or
the deployment of the remote location uh
scanning it and probably monitoring uh
probably initial monitoring is a biggest
challenge um having said
that basic one of the biggest problem
which I also seen is the mindset of the
board also has to change which is also a
problem because when the board is stuck
with only an antivirus which is around
let's say $10 or something to bring them
to a level of an xdr needs that type of
a mind CH change of mind thank you so
that's a that's a challenging stuff as
well uh
Nanda take us through any of the use
case where AI or ml is is kind of
leveraged in the next year sure so there
are many use cases you know uh the alml
into the picture to the XTR
implementation so I'll give the one use
cases right now um I think if when you
implementing XTR right you'll be
integrating with all the security
solution you'll be creating a baseline
what is what is normal for your
organization right so uh let's take
example you know
um the anomaly behavior for the behavior
analysis for anom an anomal deduction
right for example uh there is a suddenly
suddenly right there is a huge data is
transfer from your network to you know
external world right is the it is not a
normal behavior right so if the if you
implement xdr solution it will give talk
to the your network it'll talk to your
endpoint it'll talk to your you know
security solution it'll give the you
know overall picture how the data is
transferred and you know what what time
it is transferred Etc so the if ex
solution is there it be easily dedu and
respond for you know this kind of you
know the use cases similarly for example
the one one employer right he will be
accessing sensitive information from the
different countries and OD time for
example I am U I am accessing some Sensi
information night 1:00 it is a normal it
is not a normal behavior right it is a
usual activity so if the xdr is there it
will be check your normal behavior and
it will compare with your you know
abnormal behavior then it'll be giving
you know uh a lot to the XTR solution
for the uh response for particular
access will be denied or particular
access will be you know propagated for
the particular users so the XTR you know
will will talk to all the security tools
it not be silos right endpoint Network
cloud email Etc so uh this is one of the
use cases there are many use cases there
for you know for fishing sophisticated
fishing attack how the xdr will you know
help for the organization
yeah kames would you like to add another
use case and deep di a little bit into
it yes so see we have a standard huge
cases for xdr but my suggestion is you
have to look into your environment you
can develop your huge cases as according
to you know according to your
organization business you can say
because the nature of business of every
organization is different and already uh
you know add so for example you know I
always say you know your xdr will help
to detect
sorry thank you
so before we go on the break for the tea
break uh we will go on the last uh panel
session that will be on practical AI use
uh cases and in cyber
security uh it will be moderated by
Rajiv nandwani from BCG panelists
include vinit Kumar shasa from GSK T
selven from hexaware
Technologies Shiva Kumar from Lenovo
Nies goyel from Aquin Financial Services
Halal Ahmed Looney from R Razer pay and
Shri Kant s from Tata Electronics this
panel will discuss if AI can automate
responses to security incidents help in
vulnerability management as well as
based on threat intelligence and many
other topics as well handing over to you
Rajiv
Voir Plus de Vidéos Connexes
8 XDR Benefits You Need to Know About
What is XDR vs EDR vs MDR? Breaking down Extended Detection and Response
ReliaQuest GreyMatter Explainer Video
Best Antivirus/EDR vs Unknown Ransomware
Melindungi Organisasi
Attacks on Mobile/Cell Phones | Organisational Security Policies in Mobile Computing Era | AKTU
5.0 / 5 (0 votes)