Red Sift invites you to their event

Closing the gaps: Multi-channel brand impersonation in healthcare

About this event

In healthcare, where trust is everything, attackers are finding new ways to exploit it. Beyond phishing, cybercriminals are mimicking trusted brands through DNS misconfigurations, forgotten subdomains, and convincing lookalike domains that deceive patients, partners, and staff before security teams even realize what’s happening.

In the second and final part of this Red Sift series, our experts unpack different impersonation risks and show how to close these blind spots with the trinity of brand protection:

  • DMARC as the foundation to prevent spoofed email
  • DNS monitoring to identify and secure misconfigurations and exposed subdomains
  • Lookalike domain defense to detect, prioritize, and act on high-risk impostors

Join us alongside our partners at H-ISAC, to learn how healthcare organizations can strengthen patient trust, safeguard their digital front doors, and stay ahead of evolving impersonation tactics.

Register today!

Hosted by

  • Guest speaker
    JJ G
    Joshua Justice H-ISAC

  • Team member
    T
    Faisal Misle Technical Lead, Customer Success & Strategic Projects @ Red Sift

    Passionate email geek specializing in email security with a decade’s worth of experience

  • Team member
    T
    Francesca Runger-Field Sr. Product Marketing Manager @ Red Sift

    Senior Product Marketing Manager at Red Sift with almost a decade of SaaS experience. Loves turning complex ideas into compelling narratives and showcasing customer success.

  • Guest speaker
    GM G
    Geoffrey Mann Senior Physical Threat Analyst @ Health-ISAC

Red Sift

Creating a fundamentally safer internet through proactive security

Trusted by 1,200+ teams around the world, Red Sift makes it simple to deploy proactive security across email, web and PKI. Its cloud-based apps make it easy to embrace the protocols that keep the internet safe while protecting known protocol gaps, stopping configuration drift and using AI to scale.