What the 2026 State of Digital Risk Report Reveals About AI-Powered Fraud
Digital risk is the dominant security conversation of 2026. Every CISO is having it. Every board is asking about managing digital risk. The question worth answering is why.
For twenty years, enterprises hardened the inside. Endpoint. Identity. Cloud. Network. Email. Every year the stack got better and the cost of getting through it kept going up. Adversaries didn't quit, but they did the math. Breaking through a modern security stack is expensive. Walking around it is not.
The walk-around is the open internet. The trust your business projects out into the world. Your brand, your executives, your customers, your suppliers, and now your AI agents. A spoofed domain that intercepts a customer payment. A deepfaked CFO on a video call authorizing a wire transfer. A LinkedIn lookalike recruiting your engineer into a meeting that turns into a credential phish. An AI agent your team deployed last quarter, doing its job on the open web has now become a security risk, pulling back context that was poisoned by an adversary three nodes upstream. None of it touches your stack. Your telemetry shows green while the loss is already on its way.
How AI-Powered Fraud Drives Digital Risk
AI is what made the walk-around scale.
Adversaries can now spin up convincing impersonation at machine speed. Deepfakes that used to take a specialist now take a prompt. Lookalike domains by the thousand. Synthetic identities indistinguishable from real ones. The external attack surface expanded faster in the last 18 months than it had in the previous decade. And the agentic internet, where AI agents are active participants in commerce, communication, and decisions, just added a new attack vector to the same surface. Your agents are out there. They are interacting with content, sources, and other agents you do not control. They cannot tell what has been manipulated. When they come back to you, neither can you.
This is why digital risk is the conversation of 2026. The inside didn't get weaker. The outside got cheaper. And now we must learn how to navigate and manage digital risk.
What's missing is the data on what enterprise security leaders are actually doing about it.
The 2026 State of Digital Risk Report from Outtake Labs closes that gap. The industry's first deep look at how enterprise security leaders are managing digital risk today. Where the defenses are working. Where they aren't. What's top of mind. And what's getting funded next.
The World Economic Forum's Global Cybersecurity Outlook 2026 captured the inflection in a single data point: cyber-enabled fraud overtook ransomware as the top concern for CEOs. Not because ransomware stopped. Because something else got bigger. This report shows what that something else looks like inside enterprise security programs.
The 2026 State of Digital Risk Report Builds on Prior Research
This report is the latest from Outtake Labs, building on the 2026 Digital Trust Industry Pain Report and the Digital Trust Kill Chain framework. The Pain Report captured where enterprises were already feeling the impact. The Kill Chain mapped the eight stages of an external trust attack. The State of Digital Risk Report shows, for the first time, how the modern enterprise is actually defending itself across all of it.
Three documents. One thesis. Digital risk has become the central security conversation, and the security model has to evolve in kind in order to successfully mitigate and manage the risk.
How We Measured Digital Risk in 2026
Cybersecurity Insiders surveyed more than 1,100 enterprise security and risk leaders on how they are actually managing digital risk today. The research covers five structural dimensions: detection capability, response infrastructure, executive and employee protection, AI agent governance, and digital risk program maturity.
The findings tell a clear story. The threat surface has industrialized. The defenses are catching up unevenly. The gap between the two is the most important number in enterprise security right now.
Three Key Findings on Managing Digital Risk in 2026
The report contains five structural findings. Three are worth surfacing publicly because each one reframes a conversation the industry has been having without the underlying data.
96% of organizations have no automated way to stop a hijacked AI agent. Enterprises are deploying agents into the open web, where adversaries actively seed manipulated content, spoofed sources, and adversarial context designed to corrupt what agents read, decide, and bring back. Detection isn't the bottleneck. Containment is. AI agents act in seconds. Manual review takes minutes. By the time a human catches a compromised agent, the action has already landed. Only 4% have both automated detection and automated containment. The report names this the AI Trust Gap, and it is the most consequential exposure most enterprise programs have not yet measured.
47% of organizations suspect or confirm deepfake impersonation of their own executives. Most have no way to tell the difference between a real executive communication and a synthetic one. The world has been signaling this risk for two years. The internal data shows how the defense is keeping pace, and where it isn't.
More organizations learn about impersonation from their own customers than from any other source. Not the SOC. Not threat intelligence. The customer who already got phished is the single largest detection signal in external risk programs. And when remediation begins, manual staff hours now outrank direct fraud loss as the top cost category. The detection pipeline is under more pressure than the org charts assume.
These are three of the five. The report contains the other two findings, the supporting data, and the cross-finding pattern that ties them together.
Why AI-Powered Fraud Is Changing Digital Risk
Why does the pattern matter more than any single stat? Each finding is consequential on its own. The pattern they form together is the story.
The way enterprises showed up in the world used to be a manageable surface. A website. A few executives on conference panels. A handful of social accounts. That surface has multiplied, accelerated, and rewired who is doing the activity on it. Adversaries running at AI speed produce a fundamentally different operational tempo than the one defenders were trained against. That asymmetry is the gap the report documents.
Closing the gap takes more than a point tool retrofitted to a new threat surface. It takes a platform built for what digital risk has become, defending brands, people, products, events, and AI agents as a single set of entities with one coordinated security model. The data in this report is what justifies that architecture.
Inside the 2026 State of Digital Risk Report
This is the latest installment of Outtake Labs as a recurring research program. We did the work because the dynamics changed and someone had to capture what changed.
The report also includes a Maturity Matrix mapping enterprise programs across three tiers (Reactive, Managed, Adaptive) at every stage of the kill chain. Use it as a self-assessment for how you manage digital risk within your own program.
This is not a vendor pitch. There are no product mentions in the data sections. The conclusions follow the evidence. Where they lead is a separate conversation.
Get the 2026 State of Digital Risk Report
The full report contains all five structural findings, the supporting data, the Maturity Matrix self-assessment, the five-step playbook for closing the gap, and the framework Outtake Labs uses to think about digital risk in 2026.
It is built for CISOs, security architects, fraud leaders, and the board members asking harder questions about digital risk than they were asking last year.
Download the 2026 State of Digital Risk Report →
Outtake is on a mission to take out internet threats and restore digital trust.
As the AI-native digital risk protection platform, Outtake delivers unified detection, investigation, and response across the full threat surface, protecting brands, executives, products, and locations from impersonation, AI-generated deception, and AI agent security risks. In an era where coordinated, industrial-scale attacks move faster than human response, Outtake gives organizations the agentic capability to stay ahead of threats, not just react to them.