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Ponemon/Proofpoint survey: 97% of US healthcare orgs hit by cyberattacks, operational disruption now costliest impact at $1.39M

1 fonte(s) · 1 atualização(ões) · publicado 13/10/2026 12:40 · coletado há 4 dias

A Ponemon Institute and Proofpoint survey of 705 IT and security practitioners at U.S. healthcare institutions (conducted May 2026) found that 97% of organizations suffered at least one cyberattack in the past 12 months, and 74% of those reported disruption to patient care. The average number of attacks per organization rose to 51 from 43 in 2025. Operational disruption is now the single largest cost component, averaging $1.39 million (up from $1.2 million), and the average cost of the most expensive attack rose nearly 8% to $4.2 million. Fewer organizations are paying extortion demands, yet ransomware continues to disrupt patient care. The report also flags a governance gap as healthcare adopts AI faster than it can secure it.

Detalhes técnicos

  • 45% of organizations have embedded AI in cybersecurity, or in both cybersecurity and patient care, and another 30% plan to adopt it.
  • 60% lack controls governing sensitive data used in AI systems, and only 42% use security measures designed for AI.
  • The top AI risk, cited by nearly 40% of respondents, is supply chain risk from AI vendors. Others include data leakage via prompts, AI-generated phishing and social engineering, inadequate privacy protections, and non-compliant tool usage.
  • Human-driven risks remain relevant: phishing, compromised accounts, employee mistakes and data loss.

Remediação

  • Shift from cyber defense to cyber resilience, so clinical services can be maintained and restored during an attack.
  • Implement microsegmentation to keep a simple breach from becoming a large-scale incident (per ColorTokens' Guru Gurushankar).
  • Inventory where AI is used, what sensitive data it can access and what actions AI agents are permitted to take, and put governance and AI-specific security controls around them.
  • Prioritize third-party and AI vendor risk management and continue to address phishing and account compromise.

Linha do tempo

  1. proofpoint.com ↗ · pub. 13/10/2026 12:40 · coletado 19/10 18:02 primeiro registro

    Ponemon/Proofpoint survey: 97% of US healthcare orgs hit by cyberattacks, operational disruption now costliest impact at $1.39M

    ler a análise desta fonte

    A Ponemon Institute and Proofpoint survey of 705 IT and security practitioners at U.S. healthcare institutions (conducted May 2026) found that 97% of organizations suffered at least one cyberattack in the past 12 months, and 74% of those reported disruption to patient care. The average number of attacks per organization rose to 51 from 43 in 2025. Operational disruption is now the single largest cost component, averaging $1.39 million (up from $1.2 million), and the average cost of the most expensive attack rose nearly 8% to $4.2 million. Fewer organizations are paying extortion demands, yet ransomware continues to disrupt patient care. The report also flags a governance gap as healthcare adopts AI faster than it can secure it.

    Technical Details

    • 45% of organizations have embedded AI in cybersecurity, or in both cybersecurity and patient care, and another 30% plan to adopt it.
    • 60% lack controls governing sensitive data used in AI systems, and only 42% use security measures designed for AI.
    • The top AI risk, cited by nearly 40% of respondents, is supply chain risk from AI vendors. Others include data leakage via prompts, AI-generated phishing and social engineering, inadequate privacy protections, and non-compliant tool usage.
    • Human-driven risks remain relevant: phishing, compromised accounts, employee mistakes and data loss.

    Remediation

    • Shift from cyber defense to cyber resilience, so clinical services can be maintained and restored during an attack.
    • Implement microsegmentation to keep a simple breach from becoming a large-scale incident (per ColorTokens' Guru Gurushankar).
    • Inventory where AI is used, what sensitive data it can access and what actions AI agents are permitted to take, and put governance and AI-specific security controls around them.
    • Prioritize third-party and AI vendor risk management and continue to address phishing and account compromise.