Presented By:
William (23BTAI217)
Prathamesh (22BTAI204)
Yakub (23BTDS205)
• Why AI is Essential in Cybersecurity
• Applications of AI in Cybersecurity
• Benefits And Challenges of AI in Cybersecurity
• Prospects of AI in Cybersecurity
• Case Study
• Conclusion
Why AI is Essential in Cybersecurity
Volume of Data: Huge amounts of data make it difficult for human
analysts to process and identify threats.
Sophistication of Attacks: Increasingly sophisticated cyber attacks
that traditional methods can't handle alone.
Speed of Response: Need for real-time threat detection and
response to minimize damage.
Intrusion Detection: AI models that identify and alert on potential
intrusions.
Malware Detection: AI algorithms that classify and detect new types
of malware.
Phishing Detection: NLP algorithms to identify phishing emails and
messages.
Efficiency: Automates repetitive tasks and Data Quality: AI's effectiveness depends on the
processes large datasets quickly. quality and quantity of data.
Accuracy: Reduces false positives and Adversarial Attacks: Cybercriminals attempting
improves threat detection accuracy. to deceive AI models.
Proactiveness: Identifies and mitigates threats Complexity: Implementing and managing AI
before they can cause harm. systems requires expertise.
Scalability: Handles large-scale cybersecurity Privacy Concerns: Ensuring AI systems comply
challenges effectively. with data privacy regulations.
Advancements in AI: Continuous improvements in AI algorithms and
techniques.
Global Collaboration: Sharing AI-driven threat intelligence across
organizations and borders.
Ethical AI: Developing AI systems that are transparent, fair, and
secure.
AI in detecting and preventing a major ransomware attack.
One way that AI can help prevent ransomware attacks is by detecting
and blocking them before they can infect a system.
Machine learning algorithms can analyze patterns and behaviors to
identify potential threats and prevent them from entering a network.
This is especially useful in the case of zero-day vulnerabilities, which
are security weaknesses that are unknown to the software vendor
and are therefore not yet patched.
AI can detect these vulnerabilities and alert security professionals,
allowing them to take proactive measures to protect against attacks.
AI is revolutionizing cybersecurity and threat intelligence by enhancing
threat detection, response, and prevention through advanced analytics
and automation. Despite challenges like data quality and adversarial
attacks, AI's efficiency, accuracy, and scalability make it indispensable
for protecting against sophisticated cyber threats and ensuring robust
security measures.
