Identity and Access Management Trends to Watch at RSAC 2025
Cutting-edge identity and access management innovations will dominate discussions at this year's RSA Conference.
Nearly 50 years after The Who posed the question "Who Are You?", the cybersecurity world is grappling with identity verification like never before. This year's RSA Conference (RSAC) 2025 in San Francisco will spotlight emerging trends in Identity and Access Management (IAM), including:
Key Themes
- Rise of identity-based attacks: Research shows that a third of cyber intrusions now target IAM systems
- Passwordless future: Okta's Fei Liu will present on passkey implementation challenges
- Non-human identities: Managing AI agents and machine identities emerges as critical challenge
Industry Perspectives
"Identity has been a significant blind spot," says Dave Mahdi of Transmit Security, noting that most breaches stem from IAM failures. Mahdi will lead two panels on:
- AI's role across industries
- UX-focused identity security
AI and Identity Threats
- Deepfake dangers: Okta reports 11% increase in ID proofing tool adoption
- North Korean scammers: Using GenAI to create fake job applicant personas (details)
- Autonomous AI agents: Deloitte predicts exponential growth
New Product Launches
- LastPass: Secure Access Experiences for SMBs
- CryptoLab: Quantum-resistant Encrypted Facial Recognition
- X-PHY & Ironscales: Competing deepfake detection solutions
"Unlike traditional identities, AI agents need access to user-specific data and workflows to make decisions" - Fei Liu, Okta
As attackers increasingly target identity systems, RSAC 2025 will showcase how the industry is evolving beyond passwords and preparing for AI-driven security challenges.
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About the Author
Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.