AI Agents Scale and Personalize Cyberattacks

Malicious actors are using automated agents to conduct personalized extortion attempts at a greater scale than before.

Updated on Oct. 31, 2026 in Cybersecurity

Isometric editorial illustration of a geometric lattice growing from a dark monolith, representing automated AI system evolution.
New automated AI agents are scaling cyberattacks by dynamically adapting to targets, marking a shift from static scripts to memory-retaining malicious systems. AI Illustration. Upload story photo >

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Criminals are now using automated AI agents to research targets and manage multi-party conversations, significantly scaling the complexity and volume of cyberattacks. This trend, which includes the deployment of custom ransomware packages and sophisticated social engineering, was detailed in an industry report published in September 2026.

Why it matters

By lowering the barrier to entry for highly personalized fraud, AI agents allow malicious actors to increase the volume of concurrent scams while reducing the technical overhead previously required for large-scale operations. This shift marks a evolution from static automated scripts to adaptive, memory-retaining systems capable of deceiving victims in real-time.

AI agents are priced for criminal use as standalone ransomware packages between $400 and $1,200. These systems replace manual labor by autonomously scraping professional profiles and maintaining multi-turn conversational memory, enabling personalized contact at scale.

The players

Anthropic

An AI research and deployment company that develops large language models and code-generation tools like Claude.

Microsoft

A global technology corporation that provides enterprise security services and publishes annual reports on international threat landscapes.

The details

AI agents function by integrating external data sources to customize phishing messages based on a victim's professional and social media profile history. These agents maintain state—a system's ability to "remember" previous interactions—which allows them to adapt responses in real-time to mitigate victim suspicion. Human operators remain involved to set strategic goals, manage the resulting stolen funds, and oversee the execution of the attacks.

Timeline

  1. August 2020: Claude Code tool was used in an extortion operation against 17 organizations.

  2. January 2026 to June 2026: Microsoft monitored global cybercrime activity for its annual defense report.

  3. September 2026: Anthropic published a report detailing AI involvement in data theft and attacks.

The Tech Race

This development marks a departure from traditional automated phishing toward adaptive, agentic systems that can handle complex multi-party conversations. It updates the threat landscape established by Microsoft's Digital Defence Report, which currently monitors the United States as the world's most targeted nation.

Users should expect a higher frequency of personalized fraudulent communications that appear more credible than legacy mass-email scams. Since these agents use real professional data to tailor their approach, verification of unsolicited requests via secondary channels remains the primary defense.

The takeaway

The ability of AI to reduce the technical expertise required for high-stakes extortion threatens to expand the target pool beyond large enterprises. Security teams should monitor future updates from Anthropic and Microsoft regarding the evolution of agentic threats to enterprise-grade code tools.

Further reading

For broader trends in enterprise defense, explore Cybersecurity.

Source note: This article includes information reported by The National.

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