As enterprises increasingly adopt AI technologies, attackers are discovering innovative ways to weaponize these legitimate tools. This session analyzes the evolving threat landscape of AI-powered tools in enterprise environments, focusing on how adversaries exploit built-in AI capabilities to execute sophisticated Living-Off-the-Land (LotL) attacks—without relying on traditional malware. Through real-world examples, we’ll explore how AI assistants and AI-driven softwares are repurposed for malicious activities across the attack lifecycle: Initial Access: AI-enhanced phishing and data exposure exploitation. Reconnaissance: Analyzing internal documents, emails, and data repositories to extract sensitive information. Lateral Movement: AI-generated messages that mimic trusted personnel for seamless network access. Privilege Escalation: Abusing AI-driven workflow automation to gain unauthorized privileges. Data Exfiltration: Leveraging trusted communication channels, unauthorized APIs, and AI-generated scripts to evade detection. Persistence: Embedding malicious commands in AI-driven tasks and workflows for long-term access. We’ll showcase techniques like automated AI workflows for data extraction, file size manipulation for stealthy exfiltration, and exploiting under-monitored communication channels. Key Takeaways: How to integrate AI-specific threat models into security frameworks. Strategies for continuous monitoring of AI-driven anomalies. Building a security-aware culture that recognizes AI as a critical threat vector. AI isn’t just a productivity enhancer—it’s the next attack surface. Join this session to learn how to defend against AI-driven threats before adversaries outsmart your defenses.