Join us on The Before AGI Podcast for a crucial deep dive into the complex relationship between Artificial Intelligence and Cybersecurity. AI is revolutionizing how we defend against threats, but it also introduces new vulnerabilities and attack vectors. We explore both sides of this digital arms race.
In this episode, you'll gain insights into:
🛡️ AI-Enhanced Defense: How machine learning, deep learning, GNNs, and NLP are improving threat detection, analysis, and response times.
🔐 Privacy-Preserving Collaboration: Understanding Federated Learning and Homomorphic Encryption for secure threat intelligence sharing.
⚔️ AI Under Attack: The dangers of adversarial attacks (poisoning, evasion), model theft, and prompt injection targeting AI systems.
☁️ Securing Modern Environments: AI's role in protecting IoT, critical infrastructure (SCADA), and complex multi-cloud setups.
⚛️ The Quantum Horizon: How AI is essential for preparing for the threat quantum computing poses to current encryption (Post-Quantum Crypto).
⚖️ Ethical Considerations: Addressing bias, transparency, accountability, and privacy in AI security applications.
This episode unpacks the shift towards adaptive, AI-driven security, the innovative techniques being employed, the inherent risks AI introduces, and the critical need for ethical considerations and future-proofing against quantum threats.
Follow Before AGI Podcast for more essential explorations of AI's impact on security and technology!
TOOLS MENTIONED:
(Techniques/Concepts mentioned, rather than specific software tools in this transcript)
Machine Learning (Supervised, Unsupervised)
Deep Learning
Graph Neural Networks (GNNs)
Self-Supervised Learning for Intrusion Detection (SSID)
Natural Language Processing (NLP)
Federated Learning (FL)
Homomorphic Encryption
Reinforcement Learning (RL / MARL)
Explainable AI (XAI)
Generative AI
Post-Quantum Cryptography (PQC)
Digital Twins (Used in context of RL training)
(Companies like Darktrace, IBM, CrowdStrike, Nvidia, Veracode, AWS, Tenable, Palo Alto Networks mentioned as examples using AI)
CONTACT INFORMATION:
🌐 Website: ianochiengai.substack.com
📺 YouTube: Ian Ochieng AI
🐦 Twitter: @IanOchiengAI
📸 Instagram: @IanOchiengAI
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