
Explore AI security best practices, attack history, and organizational strategies. Learn to secure AI implementations across platforms, debunking misconceptions and focusing on practical approaches.

Exploring AI's impact on security: hype, adoption challenges, privacy concerns, regulations, and legal issues. Experts discuss implications for the security industry and professionals.

Discover Salesforce development essentials, exploring cloud innovation, advanced skills, and AI applications for enhancing your expertise in this dynamic field.

Explore practical applications of generative AI, focusing on key patterns, best practices, and essential caveats for developers to integrate into their daily workflows.

Explore practical applications of generative AI in app development. Learn about Large Language Models, prompt engineering, and real-world examples of integrating AI into customer support applications.

Explore Microsoft's AI innovations: Azure OpenAI, Neural voice, and GitHub Co-pilot. Learn to leverage AI for innovation and productivity while considering societal impact.

Explore how global platforms use MLOps and AI governance to moderate content and ensure online safety, with insights from social media companies and technology vendors.

Explore technological tipping points and their impact on society, from digital cameras to AI. Gain insights into past innovations and future trends in this thought-provoking talk on digital revolution.

Explore how deep learning computer vision uncovers insights about beautiful places, property preferences, and societal well-being, with applications in real estate and environmental analysis.

Explore the potential and limitations of using large language models for offensive security operations, including techniques for finding vulnerabilities and ethical considerations.

Explore the psychological impact of AI assistants on human perception and vulnerability to manipulation, examining the potential for digital agents to exploit cognitive biases before achieving true sentience.

Learn to create AI-powered applications using Java, Spring Boot, and LangChain4j. Build chatbots, process unstructured data, and automate tasks with LLMs. Explore key components and best practices for developing efficient, personalized AI solutions.

Explore vector databases for AI applications, natural language interfaces, and advanced search capabilities. Learn to translate data into vectors and master querying techniques.

Explores challenges in implementing AI risk management frameworks, highlighting five key roadblocks faced by stakeholders when operationalizing standards like NIST AI RMF and EU AI Act.

Explore the security risks of AI integration, focusing on prompt injections and potential malware in language models. Learn about future challenges and consequences for AI assistants.

Discover how ChatGPT can enhance enterprise observability practices by interpreting system data, providing real-time insights, and offering recommendations to improve software reliability and performance.

Explore vulnerabilities in mobile face recognition systems, focusing on non-deepfake attacks that bypass liveness detection. Learn about security flaws in popular SDKs and their implications for critical applications.

Explore serverless and event-driven patterns for GenAI, learning efficient architectures for hosting, training, and consuming AI solutions on AWS at scale. Gain insights into EDA options for various business use cases.

Explore AI-assisted decision-making for identifying security review needs in new features, addressing challenges in modern SDLC and improving security oversight in fast-paced development environments.

Uncovers advanced espionage group using AitM attacks and ISP-level tampering in Belarus to target diplomats with custom malware, highlighting sophisticated surveillance techniques.

Explore automated USB fuzzing techniques to detect vulnerabilities in computer systems, including simulating USB cameras and exploiting Windows Hello using infrared images.