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The Role of AI in Modern Cybersecurity • How Artificial Intelligence Is Reshaping Cyber Defense • Presented by: [Your Name/Organization] • Date: [Insert Date] +91-7032290546
Introduction to AI in Cybersecurity • - Growing volume and complexity of cyber threats • - Traditional cybersecurity limitations • - AI as a game-changer in threat detection and response • - Overview of what the presentation will cover +91-7032290546
Key Benefits of AI in Cybersecurity • - Real-time threat detection and response • - Improved accuracy through pattern recognition • - Scalability across networks and endpoints • - Reduced human workload and faster decision-making +91-7032290546
AI Applications in Cybersecurity • - Intrusion detection systems (IDS) • - User behavior analytics (UBA) • - Malware and phishing detection • - Automated incident response • - Fraud detection in financial systems +91-7032290546
Machine Learning in Threat Detection • - Supervised vs. unsupervised learning • - Identifying anomalies and zero-day attacks • - Training models on historical data • - Continuously evolving with new threats +91-7032290546
Challenges and Risks of Using AI • - Bias in AI models • - False positives/negatives • - Adversarial attacks targeting AI systems • - Dependence on data quality and availability +91-7032290546
Real-World Case Studies • - Darktrace: Enterprise AI for threat detection • - Google Chronicle: Cloud-based threat intelligence • - Microsoft Defender: AI-enhanced endpoint protection • - Brief outcomes or benefits in each case +91-7032290546
Conclusion and Future Outlook • - AI as an essential tool, not a full replacement for humans • - Continued innovation in AI-driven cybersecurity tools • - Future trends: AI + Blockchain, predictive security, federated learning • - Final takeaway: AI strengthens cyber resilience in a digital-first world +91-7032290546
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