HR/Payroll
Cybersecurity statistics about hr/payroll
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Average ransom per attack on state, local, tribal, and territorial (SLTT) governments reached $872,656 between 2018 and December 2024, with total costs exceeding $1.09 billion.
More than 80% of government organizations operate with fewer than five dedicated cybersecurity employees.
24% of CISOs are leveraging Ai to build enhanced incident response capabilities.
Security awareness training reduced phishing susceptibility from approximately 33.1% to just 4.1% after one year in state, local, tribal, and territorial (SLTT) governments.
27% of assets hosted by Azure were vulnerable to at least one security issue or misconfiguration.
88% of Security and IT leaders recognize the importance of deep observability for securing AI deployments.
Seven out of 10 global consumers (69%) indicated they are more skeptical of online content due to AI-generated fraud compared to last year.
Assets hosted by Azure showed 0.07% with critical vulnerabilities.
Fintech firms had the strongest security posture of any industry analysed, with a median score of 90 and 55.6% earning an “A” rating.
Nearly nine in 10 (89%) Security and IT leaders cite deep observability as fundamental to securing and managing hybrid cloud infrastructure.
76% of consumers are worried about fake digital IDs generated with AI.
78% of respondents said they would be willing to spent more time compelting comprehensive identity verification processes in government services.
When asked who they trust most to protect their personal data from AI-powered fraud, 85% of consumers said "Government agencies."
64% say their number one focus for the next 12 months is achieving real-time threat monitoring delivered through complete visibility into all data in motion.
10% of assets on hosting providers other than AWS, Google, and Azure had easily exploitable vulnerabilities. This compares to 5 percent hosted on Google Cloud with easily exploitable vulnerabilities and just 2 percent on AWS and Azure with easily exploitable vulnerabilities.
False positives are the #1 blocker to Shift Left, cited by 35% of respondents.
When asked who they trust most to protect their personal data from AI-powered fraud, 88% of consumers said "Big Tech."
When asked who should be most responsible for stopping AI-powered fraud, 43% consumers pointed to Big Tech.
When asked who they trust most to protect their personal data from AI-powered fraud, 93% of consumers said "themselves."
69% of respondents believe AI-powered fraud now poses a greater threat to personal security than traditional forms of identity theft.