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AI for Cybersecurity
“Enhancing Cybersecurity with the Power of AI”
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Outline of the Presentation
• Introduction
• Role of AI in Cybersecurity
• Benefits of AI in Cybersecurity
• Applications of AI in Cybersecurity
• Challenges and Limitations of AI in Cybersecurity
• Future of AI in Cybersecurity
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What is Cybersecurity??
"Cybersecurity is the practice of protecting
computer systems, networks, and sensitive
information from unauthorized access, use,
disclosure, disruption, modification, or
destruction using AI-powered technologies."
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Role toAI
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in Cybersecurity
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Artificial Intelligence (AI) plays a crucial role in cybersecurity by:
❖Finding Threats Quickly: AI can study large amounts of data
and spot unusual behavior, like a hacker trying to break in, much
faster than humans.
❖Handling Attacks Automatically: AI can take actions on its
own, like blocking suspicious activity or alerting the security
team, saving time and reducing effort during attacks.
❖Stopping Future Attacks: AI can analyze patterns to guess
where threats might come from and take steps to stop them
before they happen.
It makes cybersecurity faster, smarter, and more efficient.
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Benefits of AIMaster
in Cybersecurity
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❖ Improved Threat Detection: AI-powered systems can analyze vast amounts of data to identify potential
threats in real-time.
❖ Predictive Analytics: AI-powered predictive analytics can help identify potential security threats before they
occur.
❖ Improved Accuracy: AI-powered systems can reduce the number of false positives and false negatives,
improving the accuracy of security alerts.
❖ Real-Time Monitoring: AI-powered systems can monitor networks and systems in real-time, identifying
potential security threats as they emerge.
❖ Cost Savings: AI-powered cybersecurity systems can help reduce the cost of cybersecurity by automating
many tasks and improving efficiency.
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Applications of AI in title
Cybersecurity
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❖ Threat Intelligence: AI-powered threat intelligence systems can analyze vast amounts of data to identify
potential threats and provide actionable insights.
❖ Predictive Analytics: AI-powered predictive analytics can help organizations anticipate and prepare for
potential cyber threats.
❖ Network Security: AI-powered network security systems can help organizations detect and prevent
cyber attacks on their networks.
❖ Cloud Security: AI-powered cloud security systems can help organizations protect their cloud-based
infrastructure and data from cyber attacks.
❖ Identity and Access Management: AI-powered identity and access management systems can help
organizations manage user identities and access privileges more effectively.
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Challenges of AI in Cybersecurity
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1. Data Quality and Availability: AI algorithms require high-
quality and relevant data to learn and improve. However,
cybersecurity data can be noisy, incomplete, and biased.
2. Algorithmic Bias and Fairness: AI algorithms can
perpetuate existing biases and discriminate against
certain groups. This can lead to unfair outcomes and
exacerbate existing social inequalities.
3. Human Oversight and Accountability: AI algorithms can
make decisions that have significant consequences.
However, it can be challenging to determine who is
accountable for these decisions and ensure that human
oversight is in place.
4. Dependence on Data: AI algorithms are only as good as
the data they are trained on. If the data is incomplete,
biased, or inaccurate, the AI algorithm may not perform as
expected.
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AI in
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Cybersecurity
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❖ Protecting Online Payments: AI keeps your online transactions safe from hackers and fraud.
❖ Safe Web Browsing: It blocks harmful websites and stops phishing attempts to trick you.
❖ Securing Personal Data: AI shields your private information from being stolen or misused.
❖ Blocking Spam and Scams: It filters out junk emails and phishing messages trying to fool you.
❖ Quick Problem Solving: AI responds fast to security issues, reducing downtime and fixing problems quickly.
❖ Home Network Safety: It protects your Wi-Fi and devices at home from cyber threats.
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Thank You
