On average, businesses with 500 or more employees are losing an average of $19.5 million a year due to insider incidents, up 20% since 2023, according to the Cost of Insider Risks 2026 Report from DTEX, a provider of risk-adaptive security and behavioral intelligence. The highest insider costs were in the healthcare and pharmaceutical industries, which averaged $28.8 million in annual losses per company.
The report is based on independent research conducted by the Ponemon Institute on organizations in North America, EMEA, and Asia-Pacific with between 500 and 75,000 employees. The research includes interviews with 8,750 IT and IT security professionals in 354 organizations that experienced one or more material insider events. Organizations represented in the data experienced almost 7,500 insider incidents, with an average of 25 incidents per company.
DTEX breaks down insider incidents into three categories: malicious, non-malicious, and outsmarted. Malicious insider incidents include employees causing harm through espionage, sabotage, workplace violence, unauthorized disclosures, IP theft, and fraud. Non-malicious incidents include causing harm due to genuine mistakes, carelessness, or inattentiveness. The outsmarted category includes employees being reasonably outmaneuvered by an attack or adversary, such as a phishing attack.
Malicious insiders accounted for 27% of incidents ($4.7 million), and 20% of incidents ($4.5 million) were due to employees being outsmarted. By far the highest costs were due to non-malicious incidents caused by negligence. These incidents include careless mistakes that expose sensitive data and employees ignoring IT warnings. These incidents accounted for 53% ($10.3 million) of insider losses per company, up 17% year-over-year.
The increase in non-malicious insider losses has been driven by a rise in shadow AI incidents – the use of AI-based tools by employees without the knowledge or consent of IT departments. The other main losses due to negligence were the use of personal webmail and file-sharing sites.
Shadow AI-related incidents include employees uploading sensitive internal documents to AI tools such as ChatGPT, using AI notetakers that produce publicly accessible recordings and summaries containing sensitive information, and the use of AI browsers that enable access to malicious sites, AI-assisted torrenting, and NSFW content generation. The use of AI browsers and agents for performing tasks is also a major risk, as these tools are often granted access to corporate systems and bypass traditional controls and logging. While businesses can take action to prevent shadow AI use by blocking access to popular AI tools such as ChatGPT, in practice, it has little effect, as it just encourages employees to find other AI tools, which may carry even greater risks.
AI adoption has greatly accelerated; however, visibility and governance have failed to keep pace. Employees are using AI tools to improve productivity, but their behaviors are routinely exposing sensitive data. DTEX found that organizations routinely lacked insight into the AI tools that were being used by employees, the data that was entered into these tools, and the length of time that AI-generated artifacts remained accessible.
The interviews highlighted considerable concern around AI, with almost three-quarters (73%) of interviewed IT staff believing AI is creating invisible data exfiltration paths, and 44% believe malicious use of AI agents significantly or moderately increases the risk of data theft. Fewer than one in five respondents (18%) said they have fully integrated AI governance into their insider risk programs.
The report shows there has been an increase in the adoption of defensive AI, with 42% of organizations confirming that they have incorporated defensive AI into their insider risk management programs, and 71% of respondents believe behavioral intelligence is essential for combating insider incidents.
While the cost of insider incidents has grown, DTEX reports that a record low has been set for time to contain an incident. The latest report shows the average time to contain an incident has fallen from 86 days in 2023 to 67 days in 2025. The survey also shows a significant ROI on mature insider risk management programs, which allow organizations to prevent at least 7 insider incidents a year, saving them an average of $8.6 million in avoided breach costs.
“The results show real and meaningful progress at organizations with comprehensive and disciplined insider risk programs. Mature programs combined with modern tooling are clearly helping to prevent incidents before they occur. At the same time, the cost of insider risk continues to rise as their impact becomes more severe,” said DTEX CEO Marshall Heilman. “That contrast creates a powerful opportunity as AI becomes embedded across the workforce. Today, too few organizations classify AI agents as equivalent to human insiders, even as those agents operate with delegated authority, persistence, and reach. As a result, insider risk management and AI agent security are quickly converging. The same behavioral visibility and accountability that protect against insider risk must extend to AI systems. Organizations that apply those lessons will be better positioned to scale AI securely without sacrificing resilience in 2026 and beyond.”
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