The AI Security Report 2026 

The data and trends shaping the 2026 AI threat landscape
The AI Security Report 2026 is Check Point Research's annual analysis of how AI reshaped the threat landscape over the past year. It tracks AI's evolution from development aid to live attack operator across every major stage of the cyber attack chain.

This year's report zeroes in on: 
  • How threat actors use AI to write malware and run live intrusions 
  • How AI powered systems and models are being targeted and exploited 
  • How synthetic personas made identity an unreliable trust anchor 
  • How ungoverned GenAI is creating serious enterprise data risk 
Grounded in real-world incidents and Check Point Research threat intelligence, the report shows how defenders use the same AI advances to sharpen detection, accelerate response, and build resilience. 

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AI Threat Trends

1 AI Operator Breached 9 Government Agencies

AI now runs commands, analyzes stolen data, and directs follow-on sessions inside live intrusions across nation-state and criminal operations alike. 


88,000 Lines Of Malware Built In 1 Week

One developer produced a full offensive framework in under a week. The AI involvement was invisible in the code and surfaced only through an operator mistake.


Indirect Prompt Injections Rose Fivefold In 3 Months

Detections of longer malicious payloads increased sharply between March and May 2026, signaling a clear shift toward content-borne and agentic attack paths.


 1 Query Pulled 400 Sensitive Files In A Second 

A single query through an approved ChatGPT integration retrieved over 400 sensitive internal files in under a second, with no warning. 


1 in 17 AI Prompts Carry Serious Data Exposure Risk

High-risk prompts doubled to 4% in a year. Organizations run ten AI apps a month on average, many ungoverned, creating a persistent and growing exposure risk.


Voice, Face, And Video Now Forged At Low Cost

Synthetic personas are being used at scale for fraud, KYC bypass, and enterprise infiltration across voice, video, and document verification channels.


On-Demand Session  The AI Security Report 2026: A Turning Point for Enterprise Security 


AI did not just assist attacks this year. It operates them. And the organizations adopting AI internally are creating an attack surface most security teams are only beginning to understand. 
On July 29th, Check Point Research presented the key findings from the AI Security Report 2026, followed by a practical discussion on what this means for enterprise defense. 
What you'll walk away with: 
  • Where AI sits in the modern attack chain and what that means for your exposure 
  • How attackers are exploiting AI models, agents, and infrastructure as an attack surface 
  • Why digital identity can no longer be treated as a reliable trust anchor 
  • How to govern enterprise GenAI adoption before it becomes an incident 

Watch On-Demand

AI Security Report 2026: Frequently Asked Questions

What is the AI Security Report 2026?

It's Check Point Research's flagship annual study on where AI and c...

What are the biggest AI cyber threats in 2026?

AI now runs intrusions and builds malware on its own. It has also become a target itself, with poisoned models and exposed agent infrastructure joining prompt injection as real attack paths, a...

How are attackers using AI?

They're mostly using jailbroken commercial models to write and debug malware, run live intrusions, and build attack infrastructure that would once have taken specialist teams weeks. One develo...

What industries face the greatest AI security risks?

Business Services, Wholesale and Distribution, Telecommunications, and Software all show a high share of risky AI prompts, well above average. Business Services leads the pack, and the trend t...

Why is AI changing cyber security?

Because it compresses the time, cost, and skill that attacks used to require, while simultaneously creating a whole new surface for defenders to secure. The tools organizations adopt to move f...

Who should read this report? 

CISOs and security leaders, SOC and threat intelligence teams, security architects working on agentic AI or MCP integrations, and risk and compliance officers overseeing AI adoption. Basically...

Additional Resources


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