Antônio Dasmortes, 15/3/2026
The USraeli attack launched on February 28 against
Iran – named Epic Fury on the US side and Silent Holy City on the
Israeli side – can be considered the second major attack in history planned and
partly executed by artificial intelligence, the first being the kidnapping of
the Venezuelan president and his wife on January 3 in Caracas. In this
operation, the Gotham and AIP (Artificial Intelligence Platform)
systems from the company Palantir Technologies played a central role, acting as
the indispensable nervous system that allowed the AI “Claude” to analyze
massive data and contribute to the planning of the strikes.
The table below summarizes the distinct but
complementary roles of Gotham and AIP in this operation.
|
System |
Primary
Role |
Key Function in the Attack |
|
Gotham |
Data
Integration Platform |
Act as an “intelligence hub” to fuse and analyze
disparate raw data (satellites, communications, etc.) on a single platform. |
|
AIP |
Secure
Operating System |
Serve as a single, authorized access gateway,
allowing the AI “Claude” to operate and securely analyze classified data
within a sensitive military environment. |
The Architecture of the Attack: The “Brain” and the “Nervous
System”
To better understand their interaction, one can
compare the entire system to a human body:
- Palantir (Gotham and AIP) constituted the nervous system. It collected and integrated
massive and disparate data flows, estimated at 2.3 petabytes (2,300
terabytes, approximately 120 million documents), from satellites,
communication intercepts, human sources, and social networks.
- Claude (Anthropic’s AI) acted as the brain. Connected to Palantir’s nervous system
via the AIP, Claude analyzed this data, executed tens of thousands of
attack scenario simulations, and proposed optimized action plans to human
commanders.
The specific contributions of Gotham and AIP
Their roles were decisive in several key phases of
Operation “Epic Fury”/”Silent Holy City”:
- Lightning-Fast Intelligence Processing: Gotham enabled the cleaning, modeling, and extraction of crucial
information from raw data in just 90 minutes, a task that would
have taken a human team 100 days.
- Precision Targeting: By
integrating location data, lifestyle habits, and even bodyguard shift
schedules, the system was able to identify precise “windows of
opportunity,” such as a 3-minute gap caused by an overlap between a
radar blind spot and a guard change. This helped reduce the location error
margin for high-value targets to less than 500 meters.
- Anomaly Detection: The AI, via
the Palantir platform, was able to analyze minute details, like a 1.2-second
stop of a vehicle convoy at an intersection – a signal a human analyst
might have missed – which was crucial for locating targets.
In summary, Gotham served as the foundation by
transforming an ocean of raw data into actionable intelligence, while AIP
provided the secure environment and necessary protocols for the AI Claude to
analyze this classified information and actively contribute to the strategic
planning of the 11-minute and 23-second lightning strike against Iran.
Below are 3 infographics summarizing the
characteristics of the new USraeli war machine.
