shadow ai3 articles
The 5% Problem: Why Your AI Power Users Are Your Biggest Security Headache
New research from Akamai reveals that the top 5% of enterprise AI "power users" interact with AI tools at 12 times the rate of average employees, creating disproportionate security risks through shadow AI, data leakage, and unvetted autonomous tools operating outside corporate oversight. Nearly half of all enterprise AI conversations occur through personal rather than corporate-managed accounts, and 16% of AI browser extensions contain known security vulnerabilities, expanding the attack surface significantly. Security teams are urged to shift focus from broadly policing mainstream AI tools to identifying where AI is most deeply embedded in operations and whether those systems fall within established guardrails.
Shadow AI Is Already In Your Organisation. Here's How to Deal With It.
Employees aren't waiting for IT to approve an AI tool. They're already using it. ChatGPT for drafting emails, Claude for summarising documents, some random browser extension that claims to boost productivity. By the time your security team hears about it, the data's already been pasted somewhere you don't control.
Shadow AI Is the Insider Threat Nobody's Watching
Verizon's 2026 Data Breach Investigations Report reveals a fourfold increase in "shadow AI" use, with 67% of employees who regularly use AI at work doing so through unauthorized personal accounts, potentially exposing sensitive corporate data such as source code, documents, and proprietary research to unvetted third-party platforms. The report also highlights worsening vulnerability management, with remediation rates for critical flaws dropping from 38% to 26% and resolution times rising from 32 to 43 days, while ransomware featured in nearly half of all breaches. On a positive note, ransom payments continued to decline, with 69% of victims refusing to pay and the median payment falling slightly to just under $140,000.