Trust and growth have historically been framed in tension. Trust mechanisms introduce friction. Friction slows conversion. Business metrics suffer. At LinkedIn, we challenged that assumption. In this session, we’ll share how LinkedIn reached 100M+ verifications, along with cross-platform data and lessons from LinkedIn, Adobe, and G2 on how reusable verification impacts engagement, sentiment, and trust outcomes.

Metrics only tell part of the story; truly effective detection and monitoring go beyond dashboards, blending art and science to combine alerts with intuition, business knowledge with hard-earned experience, and findings with actionable solutions. Incident response should not be treated as firefighting, but as a continuous improvement process that consistently strengthens systems and pushes the organization forward.

As AI agents begin transacting on behalf of users, a new security battleground is emerging between helpful agents and adversarial AI systems capable of mimicking behavior, hijacking permission chains, and infiltrating shared environments with near-human precision. Research from the OpenID Foundation highlights that existing identity and authorization models were not designed for agents that can be duplicated, corrupted, or co-opted. This session explores the growing “trust gap” and how enterprises can verify which agents are legitimate, distinguish them from adversarial systems, and defend against an expanding AI-driven threat surface.

The regulatory playbook for marketplaces is rapidly evolving amid coordinated action by state attorneys general, heightened consumer-protection enforcement, and shifting federal priorities. This session delivers practical guidance for managing compliance, enforcement, and reputational risk in a fragmented regulatory environment where UDAAP scrutiny, transparency expectations, complaints monitoring, product review governance, and Know Your Seller diligence remain central. Attendees will explore lessons from recent FTC enforcement and emerging state initiatives, while gaining actionable frameworks for deploying AI-driven monitoring and risk detection responsibly—strengthening oversight, preserving consumer trust, and avoiding new regulatory exposure as requirements continue to evolve.

The session would cover how marketplace platforms can use AI for fraud, abuse, spam, and Trust & Safety decisions while keeping enforcement defensible: clear policy grounding, calibrated automation, human escalation, appeals, reason codes, and audit trails.