Emerging_Trends_Cybersecurity_AI_IoT_Q5uantum_202.pptx

Emerging_Trends_Cybersecurity_AI_IoT_Q5uantum_20

1. Emerging Trends in Cybersecurity — 2025 AI, IoT & Quantum Computing

2. Agenda Cybersecurity Landscape 2025 AI in Cybersecurity IoT Security Challenges and Solutions Quantum Computing and Cybersecurity Integration and Future Outlook

3. Cybersecurity Landscape 2025 Growing sophistication of cyber threats Increased attack surface from connected devices Rise of AI-driven offensive and defensive tactics Quantum computing on the horizon — changing encryption standards

4. AI in Cybersecurity AI used for real-time threat detection and response Automation of Security Operations Centers (SOCs) Behavioral analytics to identify insider threats AI aiding both defenders and attackers

5. AI-Driven Threats Deepfake-based social engineering and identity fraud AI-powered phishing and malware creation Adversarial AI: manipulating detection models Data poisoning attacks compromising model integrity

6. AI-Powered Defense Mechanisms Machine learning for anomaly detection Predictive analytics for proactive defense Automated response systems reducing reaction time AI copilots assisting cybersecurity teams

7. IoT & Edge Security Billions of IoT devices expanding the attack surface Edge computing decentralizing data protection Diverse hardware with inconsistent security standards

8. IoT Security Challenges Weak or default passwords on devices Unpatched firmware vulnerabilities Lack of visibility and monitoring Privacy concerns from continuous data collection

9. IoT Defense Strategies Zero Trust network architecture for IoT Regular firmware updates and authentication mechanisms Device identity management and encryption Segmentation of IoT networks from enterprise systems

10. Quantum Computing & Cybersecurity Quantum computing’s potential to break classical encryption Threat to RSA, ECC, and other public-key systems Urgency for post-quantum cryptography transition

11. Quantum Threats Harvest-now-decrypt-later attacks on sensitive data Quantum supremacy impacting traditional security models Need for quantum-safe key management

12. Post-Quantum Cryptography (PQC) Development of quantum-resistant encryption algorithms NIST standardization of PQC methods Hybrid encryption strategies for transitional security Early adoption planning critical for enterprises

13. Integration of AI, IoT & Quantum Security AI enhances IoT security monitoring and automation Quantum encryption to protect IoT communications Converging technologies forming a new cybersecurity paradigm

14. Strategic Recommendations Adopt AI responsibly with explainable models Implement Zero Trust for IoT ecosystems Plan migration to post-quantum cryptography Invest in R&D for cross-technology security integration

15. Key Takeaways & Future Outlook AI, IoT, and Quantum are reshaping cybersecurity simultaneously Organizations must evolve from reactive to predictive defense Continuous adaptation and innovation are essential for resilience