HR/Payroll
Cybersecurity statistics about hr/payroll
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A shortage of talent with edge AI expertise is a challenge for 37%.
A staggering 96% of respondents said FWA has negatively impacted citizen trust in their agency and its programs.
A third (34%) of respondents argued that fraud up to £100 is permissible.
A third of respondents indicate that GenAI is either being integrated or is actively transforming their operations.
Among men (~54%), the number of people who would ban biometrics was significant.
Among respondents 60+ years old (~49%), the number of people who would not ban biometrics was significant
Among those already using AI to confront FWA, nearly 40% cite better prioritization of fraud alerts and quicker identification of FWA as benefits.
Among women (~39%), the number of people who would not ban biometrics was significant.
Among younger respondents (~45%), the number of people who would ban biometrics was significant.
Around half of consumers on both sides of the Atlantic have been targeted by social media advertising promoting retail fraud guides and services and thinly disguised ‘refund hacks’.
Compared to publicly available tools, 63% agree that domain-specific AI significantly or extremely enhances security operations.
Current AI adoption rates for addressing FWA are relatively low, with about half of those surveyed using AI.
DNSFilter blocked over 60 million generative AI requests in March.
Finding the right technology vendors and partners of Edge AI is a challenge for 37%.
Half (50%) of organizations are assessing their encryption strategies in response to quantum risks.
High operational and maintenance costs of Edge AI are a challenge for 40%.
High operational and maintenance costs of Edge AI are a challenge for 40%.
Human error, while still significant, has dropped to third place of most concerning threat actors.
Human error, while still significant, has dropped to third place of most concerning threat actors.
Improving security and data privacy is the No. 1 reason (53%) for Edge AI investment.