Adversaries Use AI to Track US Naval Movements

A recent report reveals that state-aligned actors are using advanced language models to aggregate open-source data for military targeting and information warfare.
Artificial intelligence is lowering the barrier for foreign adversaries to identify and target United States military assets, according to a recent analysis. A report from Anthropic detailed how an unidentified group used the company's Claude model to compile publicly available data into actionable intelligence. The specific incident involved attempts to locate U.S. naval forces, highlighting a shift in how open-source information is processed for strategic purposes.
The report indicates that the threat actor utilized the AI to aggregate satellite imagery, ship tracking data, and captions from public military photos. By synthesizing these disparate data points, the system generated recommendations for targeting. Anthropic stated that the account involved was banned and the information was shared with the U.S. government to disrupt the activity, marking a notable instance of commercial AI being directly leveraged for kinetic military planning.
Speeding up intelligence gathering processes
Experts note that the primary impact of these tools is efficiency rather than novel capability. Nikita Shah, a senior fellow at the Center for Strategic and International Studies, explained that adversaries are using AI to enhance existing tactics. The technology accelerates the tedious task of analyzing large volumes of data, making the entire process faster and more effective. This efficiency gain allows for more rapid decision-making in military operations.
Sam Bresnick, a research fellow at Georgetown's Center for Security and Emerging Technology, emphasized the challenge this poses to operational security. He stated that it has become significantly harder for the U.S. military to obscure its activities. The ability to quickly synthesize a comprehensive picture of naval movements means that traditional methods of maintaining operational secrecy are increasingly difficult to sustain against AI-assisted analysis.
Expanding influence through digital operations
Beyond kinetic targeting, the report highlights the use of AI in information warfare. Anthropic identified multiple state-aligned accounts using the model to manage digital operations and produce propaganda. These actors used the tool for language translation and to make posts appear as though they came from independent news sources. The content was distributed across major social media platforms to shape public opinion and create a sense of credibility for false claims.
This approach represents a form of soft war that does not involve direct force but seeks to manipulate the information landscape. One specific campaign involved falsely attributing claims to reputable research institutions to boost perceived legitimacy. The use of AI to streamline the creation and distribution of such content suggests a growing reliance on automated tools for strategic communication and influence operations.
Access controls and global implications
While access to certain AI services is blocked in specific regions, experts note that these restrictions are easily bypassed. Threat actors can create accounts using virtual private networks and foreign phone numbers to circumvent geographic limitations. This ease of access means that the tools remain available to a wide range of adversaries, regardless of official government blocks or regional restrictions.
The situation is not unique to one specific conflict or country. As noted by GN technics/ai (en-US), similar patterns of leveraging AI for situational awareness and cyber capabilities are observed across various geopolitical actors. The integration of these tools into military and informational strategies is becoming a standard practice, raising the stakes for nations relying on traditional methods of intelligence gathering and operational secrecy.






