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1. Role of AI in
Cybersecurity
Advantages, Real-World Examples

2. Cybersecurity has come a long way in its journey. Back then,
it used to be about offering basic defenses against simple
viruses and computer hacks. Defense methods were pretty
straightforward, like installing antivirus software and setting
up firewalls to secure a network.
Introduction
This file shares details of how AI is transforming the way of
tackling cyber attacks by offering smarter and faster threat
defense mechanisms.

3. Current Scenario
of Cyber Attacks
Accenture’s 2023 State of
Cybersecurity Report found that
68% of organizations had
experienced a cyberattack in the
past year. Similarly, IBM’s 2023 Cost
of a Data Breach Report states that
the average cost of a data breach in
2023 was $4.35 million – a 12%
increase from the last year. The
report also found that the time taken
to identify and resolve a data breach
event is 277 days on average.
The essence of the above and many
such reports is that there’s an
alarming increase in sophisticated
cyber-attacks and their frequency

4. How does AI in
Cybersecurity work?
AI algorithms play a crucial role in cybersecurity by providing
cognitive abilities to software programs and devices. This
enables the devices to learn from past data and recognize cyber-
attacks when they arise in the future.
It analyze vast amounts of data fed to them to identify patterns
and make decisions to resolve cyber attacks that have already
happened and prevent cyber attacks from happening in the future.

5. Advantages of AI in
Cybersecurity
Speedy 24X7 Threat
Detection
1.
Precise Threat
Recognition
2.
Automated Response
3.
Predictive Analysis
4.
AI in Cybersecurity
into Action – Real-
world examples
Here are some real-world stories of organizations that have
successfully implemented AI into their cybersecurity strategies:
Darktrace
1.
Cloudflare
2.
IBM
3.

6. Conclusion
AI has revolutionized the cybersecurity landscape by offering
precise and predictive threat detection mechanisms. However,
there are also several red flags emanating from AI–. AI can
sometimes produce false results and there’s also a risk of AI-
driven cyberattacks
Challenges and Limitations
of AI-Enhanced
Cybersecurity
While AI has proved itself to be a game-changer in the
cybersecurity realm, it also brings several challenges with it.
Complex Implementation
1.
AI-Driven Cyber Attacks
2.
False Positives and Negatives
3.

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