UpGuard Report Finds 68% of Security Leaders Use Unauthorized AI Tools
UpGuard announced in a press release the findings of its new "State of Shadow AI" report, showing that 68% of security leaders, including CISOs, use unauthorized AI tools in their daily work. The report also found that 8 in 10 employees worldwide use unapproved generative AI systems, indicating widespread noncompliance with corporate governance policies.
The study highlights a paradox: employees who have received AI safety training are more likely to use unapproved AI tools. UpGuard’s data suggests that traditional awareness programs may not reduce shadow AI usage, as trained employees often become more confident in experimenting with such tools.
Senior leadership appears to be leading this trend. The report states that 90% of security leaders admit to using unapproved AI, and 23% of CISOs are aware of credentials being shared with AI platforms. Additionally, 27% of workers trust AI more than their managers for reliable information, underscoring a growing divide between employees and corporate oversight.
UpGuard’s findings indicate that blocking access to AI tools is ineffective, as 41% of employees find ways to bypass restrictions. The company recommends a governance approach focused on visibility, intelligent guardrails, and providing secure, approved AI options to reduce risk and improve compliance.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Cybersecurity AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Cybersecurity
Oct 16 SpartanX names Erik Hardy CEO and launches vendor risk testing Oct 16 Inlayer, JLINC and Vconic Introduce Human Verification for Calls Oct 16 CTM and Huawei Plan AI Network Security Upgrades in Macao Oct 16 Advantech and DEKRA Partner on Industrial Cybersecurity Compliance Oct 15 Cyfendo Offers AI Code Scanning and Patch Review for Small BusinessesCybersecurity AI Weekly
Weekly newsletter about AI in Cybersecurity.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
PwC survey finds AI use rising as training access falls
Cognizant Finds 80% of Employees Want More AI Use at Work
Gurucul Launches AI Risk and Response Security Tool
Riskonnect Finds Fewer Than Half of Companies Train Staff to Evaluate AI Outputs
MarketsandMarkets Forecasts Shadow AI Governance Market at $8.64 Billion by 2032
Daily AI Brief: the AI news that matters, in your inbox.