54% of respondents say AI agents accessing and sharing inappropriate information is a factor contributing to AI agents as a security risk.

39% of respondents say AI agents accessed unauthorized systems or resources.

31% of respondents say AI agents accessed inappropriate data.

55% of respondents say AI agents making decisions based on inaccurate or unverified data is a factor contributing to AI agents as a security risk.

75% of decision-makers at financial institutions cited system fragmentation as a top AML (Anti-Money Laundering) challenge.

75% of financial institutions say fraudsters outpace defenders with generative AI.

38% of respondents noted they prioritize the most vulnerable areas within their applications.

26% of CISOs use tools rationalisation to optimise costs.

31% of CISOs are leveraging AI to improve threat detection and response times.

70% of surveyed state, local, tribal, and territorial (SLTT) organizations cite lack of sufficient funding as their top security concern

30% of global cybersecurity leaders and consultants stated that investing in AI automation to bolster cybersecurity operations and reduce costs is a top priority.

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.

23% of CISOs use security and risk management process optimisation to optimise costs.

Implementing Zero Trust security frameworks is a top investment priority for 97% of global cybersecurity leaders and consultants.

20% of CISOs use operating model simplification to optimise costs.

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.