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The hidden risks of shadow AI
UK NCSC guidance warns shadow AI use by employees risks data exposure, lost data control, and attacker exploitation of vulnerable AI agents.
The UK NCSC warns that 'shadow AI'—use of AI tools not captured in organizational approved systems—is widespread, with 71% of employees reporting unapproved AI tool use. Risks include exposure of sensitive company and customer data, loss of visibility and control when data goes to consumer AI services, and new attack opportunities if adversaries exploit vulnerabilities in AI agents with access to corporate systems. The NCSC advises reducing rather than eliminating the risk through positive security culture, understanding employee needs, offering secure alternatives, and following its joint guidance on careful adoption of agentic AI services.
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Shadow AI in Financial Services | Risk & Governance
Huntress warns financial services firms that unsanctioned 'Shadow AI' tool use creates data leakage and compliance risks faster than governance controls can keep pace.
Huntress argues Shadow AI — employee use of unapproved AI tools such as ChatGPT and Microsoft Copilot — is spreading across financial services faster than visibility and controls. Uploading regulated customer data into public generative models risks breaches of client confidentiality, data protection rules, and market conduct obligations. The piece recommends secure web gateways, DNS filtering, DLP, application allowlisting, and corporate SSO/MFA for approved tools rather than outright bans, which can push usage onto personal devices.
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NCSC Warns Shadow AI Creates New Security Risks
UK NCSC warns that unapproved AI tools used by 71% of UK employees expose corporate data and create hard-to-detect organizational security risks.
The UK's National Cyber Security Centre warned on 7 September that shadow AI, unapproved AI tools used outside organizational controls, creates visibility gaps and raises risks of data breaches, intellectual property loss, and regulatory non-compliance. It cited Microsoft research finding 71% of UK employees had used AI tools not approved by their employer. NCSC also warned AI agents can carry critical vulnerabilities, allowing attackers who exploit one to inherit the agent's data access, services and privileges, and that attackers are highly likely to abuse agents with looser guardrails. The agency recommended reducing rather than eliminating shadow AI through positive security culture and clear guardrails.
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The Outsized Shadow: Why 5% of AI Users Are Your Biggest Security Risk
Akamai's 2026 Enterprise AI Usage report finds the top 5% of AI power users create outsized shadow AI, data leakage, and agent security risks.
Akamai's State of the Internet: Enterprise AI Usage Risk Report 2026, based on real-world usage telemetry, finds the top 5% of enterprise AI power users interact with AI models at 12 times the rate of the bottom 50% of the workforce. 47.11% of enterprise AI conversations occur through personal identities rather than corporate-managed accounts, and 14.4% run through corporate email addresses tied to personal freemium subscriptions. 17.7% of employees at midsize enterprises use AI browser or IDE extensions, of which 16.31% contain known CVE vulnerabilities and nearly 75% request high or critical permissions. The report also describes emerging attack vectors including Vibe Hacking, CursorJacking, and CometJacking indirect prompt injection.
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Shadow AI, deepfakes, and supply chain compromise are rewriting the financial sector threat playbook
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