High stakes. Patient safety. No downtime.

Medical devices are not just tools – they are entry points into the care environment.

Shift from siloed vulnerability scanning to a risk‑based approach that delivers full visibility, actionable context, prioritization, and proactive protection. Reduce exposure across connected devices so incidents don’t impact test results, patient data, or trust.

Continuously score CVEs based on real-world impact across segmented networks, unprotected devices, and legacy OS environments.

In healthcare, compliance is complex, continuous, and unavoidable. Align security operations with frameworks such as HIPAA, HITECH, and PCI. Automatically generate audit‑ready reports, streamline routine compliance tasks, and provide leadership with clear visibility into organizational risk, demonstrating due diligence and reduce liability.

Detect configuration gaps across healthcare environments before they disrupt patient care.

Healthcare environments are complex, always‑on, and connected, with little margin for disruption. Strengthen cyber resilience through asset discovery, real‑time risk assessment, and automated mitigation across hybrid and co‑managed care environments.

Use AI‑driven automation to extend team capacity, reduce fatigue, and enable faster response.

See and secure everything and fix what matters first.

AI is transforming healthcare, but legacy controls weren’t built for its scale, speed, or risk profile. Gain visibility and governance across AI initiatives with continuous monitoring, zero‑trust access, and adaptable controls that help security teams manage data privacy, oversight, and third‑party risk across healthcare operations.

Experience unmatched end-to-end protection across your AI stack.

Healthcare cybersecurity refers to the strategies, tools, and policies that protect medical systems, patient records, and clinical networks from cyber threats. This includes securing electronic health records, connected medical devices, and cloud infrastructure while maintaining the strict compliance and uptime requirements unique to patient care.

Healthcare cybersecurity threats take many forms, including:

• Ransomware that can halt clinical operations and delay patient care
• Phishing attacks targeting clinical and administrative staff
• Insider threats caused by compromised or misused credentials
• Unpatched medical device vulnerabilities across connected clinical equipment

Healthcare organizations face unique threats, strict HIPAA requirements, connected medical devices, and life-critical systems that can't tolerate downtime. These realities demand purpose-built, industry-specific cybersecurity that addresses these specific risks while keeping clinical operations running safely and continuously.

As healthcare cloud adoption accelerates, safeguarding electronic protected health information (ePHI), ensuring HIPAA compliance, and securing cloud workloads have become critical operational priorities. Migrating clinical systems and patient data to the cloud introduces new attack surfaces that traditional, on-premises security tools weren't designed to cover.

Shadow AI is the unsanctioned use of generative AI tools, such as public chatbots, beyond an organization's approved systems. In healthcare, this often means staff pasting patient data into a consumer AI tool without proper safeguards. A 2025 IBM report found that one in 5 studied organizations (20%) experienced breaches linked to shadow AI.*

*Source: IBM, Cost of a Data Breach Report 2025