Cybersecurity and compliance company Proofpoint released its 2026 AI and Human Risk Landscape report 2026 AI and Human Risk Landscape report, which explores the widening gap between how quickly organizations are operationalizing AI and how prepared they are to secure and investigate the risks that follow. The global study examines how rapid AI adoption is transforming enterprise collaboration and exposing structural weaknesses in security controls and incident response.
AI is increasingly permeating organizations and is now operational across most functions, with deployments spanning customer support, internal messaging, email workflows, and third-party collaboration. 87% of organizations have deployed AI assistants beyond the pilot stage, and 76% are actively piloting or rolling out autonomous agents.
Yet while organizations are investing in AI tools and controls, many cannot confirm that those controls are effective, with 52% are not fully confident that their AI security controls would detect a compromised AI, and half of those with controls in place have already experienced a confirmed or suspected AI-related incident.
Further, most organizations report they are not fully prepared to investigate AI-related incidents that span multiple systems and channels; only one-third say they are fully prepared to investigate one.
The 2026 AI and Human Risk Landscape report provides a global view into how organizations are adopting AI and managing the security risks that follow. The research examines AI deployment maturity, control effectiveness, incident experience, collaboration channel exposure, and investigation readiness as AI assistants and autonomous agents become embedded in enterprise workflows.
In January 2026, more than 1,400 full-time security professionals across organizations of varying sizes and industries were surveyed. Respondents represented 20 industries and spanned 12 countries, including the U.S., the U.K., France, Germany, Italy, Spain, the UAE, Australia, Japan, Singapore, India, and Brazil.
“This year’s findings highlight a widening divide between AI adoption and security readiness,” said Ryan Kalember, chief strategy officer at Proofpoint. “Organizations are scaling AI assistants and autonomous agents across core workflows, yet many cannot confirm their controls are effective or fully investigate incidents that move across collaboration channels. As AI becomes embedded in how work gets done, security leaders must rethink how they protect trusted interactions across people, data and AI systems.”
Key global findings from Proofpoint’s 2026 AI and Human Risk Landscape report show that AI deployment has outpaced security readiness, with adoption moving into production faster than governance frameworks have matured. While 87% of organizations have deployed assistants beyond the pilot stage and three-quarters are advancing autonomous agents, more than half describe security as catching up, inconsistent, or reactive, and 42% report experiencing a suspicious or confirmed AI-related incident, indicating that exposure is already present in live environments.
Collaboration channels have emerged as the primary AI attack surface, as AI expands the threat landscape and allows attacks to spread at machine speed across connected workflows. Email remains the most common vector at 63%, but exposure now extends to third-party SaaS and cloud applications at 47%, social and messaging platforms at 41%, and AI assistants or agents at 36%, with incident-affected organizations reporting even higher exposure across all channels, including 67% in email and 53% involving AI systems.
Confidence in security controls is outpacing their effectiveness, with 63% of organizations reporting that they have AI security coverage in place, yet 52% are not fully confident that those controls would detect compromised AI, and more than half of organizations with controls still report an AI-related incident. Gaps persist across training at 47%, visibility into AI or agent activity at 42%, and governance alignment across teams at 41%.
Investigation readiness continues to lag behind the reality of incidents, as only one-third of organizations say they are fully prepared to investigate an AI- or agent-related event, and 41% report difficulty correlating threats across channels. As AI-driven activity spans email, collaboration platforms, and cloud systems, the ability to reconstruct incidents depends on unified visibility across environments, which many organizations still lack.
Tool sprawl remains a structural barrier, with fragmentation across security stacks limiting visibility and slowing response as incidents move across systems at machine speed. Around 94% of organizations say managing multiple security tools is at least moderately challenging, with more than half describing it as very or extremely difficult, citing operational cost pressures at 45%, integration challenges at 42%, and difficulty correlating threats at 41%.
Security architecture is becoming a strategic priority as AI scales, with more than half of organizations actively pursuing vendor and tool consolidation and a majority viewing unified platforms as more effective than point solutions. Over the next 12 months, 61% plan to expand AI protections, 56% intend to extend collaboration channel coverage, and 53% expect to move toward a unified platform approach.
“While AI has introduced new risks, such as prompt engineering, its bigger impact has been amplifying the risks we’ve always had,” Kalember said. “Running untrusted code, mishandling sensitive data, and losing control of credentials are the same challenges that humans have created for decades. AI executes them at machine speed and scale.
When organizations hand AI the keys to act on their behalf, across customers, partners, and internal systems, the blast radius of any one of those failures grows dramatically. The answer isn’t to treat AI as a novel threat category, but to apply rigorous, proven controls to what AI touches, what it runs, and what it’s allowed to authenticate as. Organizations that get that foundation right early will scale AI confidently. Those that don’t are just automating their own exposure.”
