Emerging_Trends_Cybersecurity_AI_IoT_Q5uantum_202.pptx

Emerging_Trends_Cybersecurity_AI_IoT_Q5uantum_202.pptx

• 1.
  Emerging Trends inCybersecurity — 2025 • AI, IoT & Quantum Computing
• 2.
  Agenda • Cybersecurity Landscape2025 • AI in Cybersecurity • IoT Security Challenges and Solutions • Quantum Computing and Cybersecurity • Integration and Future Outlook
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  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
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  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
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  AI-Driven Threats • Deepfake-basedsocial engineering and identity fraud • AI-powered phishing and malware creation • Adversarial AI: manipulating detection models • Data poisoning attacks compromising model integrity
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  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
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  IoT & EdgeSecurity • Billions of IoT devices expanding the attack surface • Edge computing decentralizing data protection • Diverse hardware with inconsistent security standards
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  IoT Security Challenges •Weak or default passwords on devices • Unpatched firmware vulnerabilities • Lack of visibility and monitoring • Privacy concerns from continuous data collection
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  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
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  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
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  Quantum Threats • Harvest-now-decrypt-laterattacks on sensitive data • Quantum supremacy impacting traditional security models • Need for quantum-safe key management
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  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
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  Strategic Recommendations • AdoptAI 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
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  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