XDR Implementation And AI Use Cases

Summary

The 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

• 🔒 The security landscape is evolving, necessitating the development of more advanced security tools such as XDR (Extended Detection and Response).
• 🛠️ Traditional antivirus solutions are no longer sufficient to address modern cybersecurity threats, leading to the adoption of EDR (Endpoint Detection and Response) and XDR.
• 🌐 XDR provides a comprehensive view by integrating with various security tools, offering a single pane of glass for visibility across the IT ecosystem.
• 💡 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.
• 📈 The use of AI and ML in XDR solutions enhances their effectiveness by providing actionable insights and automating responses to security incidents.
• 🚀 Cloud-native XDR components are emerging, offering native capabilities and extending their reach to other platforms like IoT and OT.
• 💼 The transition to XDR requires a change in mindset, particularly among organizational boards, to recognize its value over traditional antivirus solutions.
• 🏗️ Legacy systems can pose a significant challenge to the implementation of XDR due to their limited capacity to support advanced security solutions.
• 🔍 XDR can help detect and respond to abnormal behaviors, such as unusual data transfers or access patterns, by correlating data from various sources.
• ⏰ 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

00:00

🔒 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.

05:01

💡 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.

10:01

🤖 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.

Keywords

💡Antivirus

Antivirus software is a type of computer program designed to detect, prevent, and remove malicious software. In the context of the video, it is mentioned as one of the foundational security tools that have evolved over time. The script discusses how almost everybody is using antivirus software, indicating its widespread adoption as a basic security measure.

💡XDR (Extended Detection and Response)

XDR stands for Extended Detection and Response, which is a comprehensive security solution that aims to provide a unified view of an organization's security posture by integrating data from various security tools. The video script highlights the evolution of security tools, with XDR being a significant step forward from traditional antivirus and EDR solutions, offering a more holistic approach to security by correlating data across different points in the network.

💡EDR (Endpoint Detection and Response)

EDR, or Endpoint Detection and Response, is a security approach focused on monitoring and defending individual endpoints, such as computers or servers, within a network. The script mentions EDR as an advancement from basic antivirus solutions, emphasizing its role in detecting and responding to endpoint-specific threats, such as malware or unauthorized access.

💡NDR (Network Detection and Response)

NDR, or Network Detection and Response, is a security technology that focuses on detecting and responding to threats within a network. The video script discusses NDR as part of the evolution of security tools, highlighting its role in providing a broader view of network activities and threats, which is essential for comprehensive security management.

💡Siloed Security Tools

Siloed security tools refer to individual security solutions that operate independently without sharing information or coordinating with each other. The script mentions that traditional security solutions like antivirus, IDS, and IPS were siloed, which means they did not communicate with each other, leading to a fragmented view of an organization's security posture. XDR aims to overcome this limitation by integrating various security tools.

💡Security Information and Event Management (SIEM)

SIEM is a software platform that collects, analyzes, and correlates security-related data from various sources within an organization's IT infrastructure. In the video script, SIEM is discussed as an early step in the evolution of security tools, providing visibility into network activities but often struggling with the vast amounts of data and the need for actionable insights.

💡Integration Compatibility

Integration compatibility refers to the ability of different software systems or components to work together seamlessly. The script highlights integration compatibility as a challenge when implementing XDR solutions, as they need to communicate and share data with various security tools and technologies within an organization's IT environment.

💡Cost

In the context of the video, cost refers to the financial investment required to implement and maintain security solutions like XDR. The script mentions that XDR solutions can be more costly than traditional antivirus software, but they also help reduce overall security costs by providing more efficient threat detection and response, thereby potentially reducing the financial impact of security incidents.

💡Legacy Systems

Legacy systems are older computer systems or applications that may not be as advanced or integrated as newer systems. The script discusses the challenge of implementing XDR in environments with legacy systems, as these older systems may not have the capacity or compatibility to support the advanced features and data processing requirements of XDR solutions.

💡AI and ML in Cybersecurity

AI (Artificial Intelligence) and ML (Machine Learning) are technologies that are increasingly being used in cybersecurity to automate tasks, detect anomalies, and improve the effectiveness of security measures. The video script mentions the use of AI and ML in XDR solutions to enhance their capabilities, such as by creating baselines for normal behavior, detecting anomalies, and responding to sophisticated threats more effectively.

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