Dan Kaplan

Director of Content Marketing

Expertise

  • Cybersecurity
  • Identity and access management
  • Non-human identity
  • Workload identity and access management
  • AI agent identity and security
  • Cloud security
  • Security operations
  • Threat detection and response
  • Cybersecurity journalism
  • Content strategy
  • Editorial strategy

About Author

Dan Kaplan is the friendly neighborhood content marketing leader at Aembit. Based in New York but operating remotely, he tells stories about agentic identity, workload identity, and cybersecurity that are meant to educate, inspire and, if he’s lucky, even entertain. Before joining Aembit, Dan held a similar role at Google Cloud, following stints at Siemplify and Trustwave, where he led content initiatives. He planted his roots in cybersecurity as a reporter and editor at SC Media. When he’s not conjuring content, he can usually be found watching sports, advocating for farm animals, or listening to paranormal stories as he falls asleep. Don’t ask.

Education

  • Bachelor’s degree in journalism, Syracuse University, S.I. Newhouse School of Public Communications

Articles by Dan Kaplan

The latest rankings show which risks become more pressing when a model can do more than generate an answer.
The gateway label now covers several very different jobs. The useful question is what traffic each gateway handles, what decision it supports, and where identity and access fit in the architecture.
Instead of duplicating accounts or sharing credentials, one identity system can validate identities issued by another and grant access based on that trust.
AI agents are changing how identity and access work but most teams are unprepared.
The Model Context Protocol (MCP), developed by Anthropic, standardizes how AI agents interact with external tools and data.
As apps and service accounts proliferate, robust management is key to maintaining automated, scalable, and resilient IT environments.
An exercise ended with frontier models inside a platform’s production systems, exposing a hard truth about what agents can do with credentials that systems trust.
Compare 10 identity security vendors for AI agents, including where each fits and what buyers should examine before choosing.
As AI moves from chat windows to enterprise systems, data leakage becomes an identity and access problem.
The response to the Canvas breach revealed how much modern institutions still depend on long-lived credentials, shared trust layers, and persistent access between systems.
Workforce and customer agents may rely on similar identity infrastructure, but the trust models, access patterns, and security risks behind them differ significantly.
Static access rules fail in dynamic MCP environments. Context-based access control evaluates identity, context and resources in real time.