experience the ping difference

An Event for the Ping Community,

by the Ping Community


IDENTIFY is about real stories from real enterprises, the good and the bad, as honest and insightful as it gets. Attendees will learn how to make identity smarter and more secure with identity intelligence, connect everyone to everything with a global authentication authority, manage identity across multi-cloud and hybrid IT environments and leverage MFA everywhere to balance security and convenience for diverse use cases spanning customers, partners and workforce. Whether you’re a security or identity and access management (IAM) professional, IT architect, CISO or line of business owner, IDENTIFY has something for you.



venue information


New World Stages


Nestled in between bustling Times Square and trendy Hell’s Kitchen, New World Stages is the perfect location for your next event. Our sharp, contemporary design can provide a stylish backdrop for events of all shapes and sizes, with the flexibility to transform into a distinctive vision. With a knowledgeable sales team, experienced AV technicians, and
a hospitable front of house staff, our foremost goal is to provide the highest customer satisfaction. 



340 W 50th Street  |  New York, NY 10019


(646) 871-1730




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IDENTIFY is Ping Identity’s user conference held in select cities around the globe. In 2018, we’re bringing together our customers in Sydney and Melbourne for one-day events packed with keynotes, panels, and workshops. This year, we’re focused on how enterprises are improving security, increasing employee and partner productivity, and providing seamless customer engagement.

Ping Identity is the identity security company. We simplify how the world’s largest organizations, including over half of the Fortune 100, prevent security breaches, increase employee and partner productivity and provide personalized customer experiences. With Ping, enterprises can securely connect users to cloud, mobile and on-premises applications while managing identity and profile data at scale.