Predictive Shenanigans: The New Wave of Application Threats

In an age where artificial intelligence (AI) not only powers innovations but also underpins cybersecurity threats, this session aims to inform and help you prepare against the next wave of digital assaults. This talk will delve into the burgeoning domain where lax API security meets sophisticated AI-driven exploit bots, marking a paradigm shift in how cyber threats are generated and how they must be mitigated. As smaller entities become increasingly attractive targets due to the reduced cost and effort required for attacks, the session underscores the imperative of adopting secure development practices. It posits that the foundation of robust AppSec in this new era lies not in the procurement of cutting-edge tools, but in the diligent application of well-established security principles. Attendees will leave with the following takeaways: - Cost-effective strategies that can fortify applications against the onslaught of AI-powered threats. - Proactive cybersecurity frameworks, with a particular focus on how threat modeling can evolve to address AI-specific vulnerabilities. - Actionable insights into applying frameworks like the NIST AI RMF to AI app development. The session seeks to equip participants with the knowledge and tools necessary to anticipate and defend against not just the threats of today but those of a rapidly approaching future. Designed for security professionals, application developers, and business leaders alike, this talk will offer a blend of humor, real-world scenarios, and practical solutions to navigate the complexities of securing applications in an AI-driven world. Join us to explore how we can turn "advanced threat guesswork" into a strategic advantage, ensuring our digital defenses are not just reactive but predictively aligned with the cybersecurity landscape's evolution.