Breakpoint Security Podcast
Breakpoint-'Exploring the depths of Defensive Security'. The defensive side of Security is a world in itself with teams achieving amazing feats that involve excellent engineering practices and smart optimisation for scale. This is not talked about enough in the industry. Join me in the br3akp0int podcast as we reflect on the methods and approaches these smart teams use to solve practical challenges in information security and innovate their way into the future. Who is this meant for? : This podcast is for anyone in InfoSec willing to know more about advances in security techniques. This includes security researchers or professionals, product owners, compliance or cloud, AI/ML, threat intel, SecOps automation, Security Leaders, development teams, pentesters and security practitioners. A bit about me: I am a technical security enthusiast and have been dabbling my hands at both offensive and defensive security. I am passionate about growing security communities and have spoken and trained at various security conferences.
Breakpoint Security Podcast
#S03EP04 AI for Security And Security For AI | Tamaghna Basu
In this episode, we delve into the intricate world of AI security, tackling the dual challenge of safeguarding artificial intelligence systems and utilizing AI to enhance cybersecurity.
Guest: Tamaghna Basu, Founder & CEO, DeTaSECURE
Join us as we unravel the complexities of AI security and provide valuable insights that can help you stay ahead in the ever-evolving cybersecurity landscape. Whether you're a security professional, an AI enthusiast, or simply curious about the intersection of these fields, this episode offers critical knowledge and practical tips to enhance your understanding and approach to AI security.
Glossary for Listeners
Artificial Intelligence (AI) is the creation of computer systems that can perform tasks normally requiring human intelligence. This includes recognizing speech, making decisions, and learning from data. Imagine a smart assistant like Siri or Alexa—they use AI to understand and respond to your requests.
Machine Learning (ML)
- A subset of AI focused on developing algorithms that allow computers to learn from and make predictions or decisions based on data.
Neural Networks
- Computational models inspired by the human brain, consisting of interconnected nodes (neurons) that process information in layers to recognize patterns and make decisions.
Natural Language Processing (NLP)
- A branch of AI that enables machines to understand, interpret, and respond to human language in a natural way, including tasks like translation, sentiment analysis, and chatbots.
Deep Learning
- A type of machine learning involving neural networks with many layers (deep neural networks), which excel at analyzing large datasets and performing complex tasks such as image and speech recognition.
Adversarial Attacks
- Techniques used to deceive AI models by introducing malicious input, causing the model to make incorrect predictions or classifications, highlighting vulnerabilities in AI systems.
Recommended reading/viewing for practitioners:
- Tamaghna’s BackHat Talk- Clone with AI : https://www.youtube.com/watch?v=XafJT7I71yo
- Adversarial Attacks: https://youtu.be/t5-vMJDFr8E
- T-Mobile Breach: https://www.t-mobile.com/news/network/cyberattack-against-tmobile-and-our-customers
- Samsung bans ChatGPT: https://www.forbes.com/sites/siladityaray/2023/05/02/samsung-bans-chatgpt-and-other-chatbots-for-employees-after-sensitive-code-leak/
- OpenAI Data Breach: https://openai.com/index/march-20-chatgpt-outage/
Follow us on LinkedIn: @breakpoint-security-podcast
Audio on Buzzsprout: https://breakpoint.buzzsprout.com
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