How we connected maritime reporting across 12 partner nations

The ECC connected what different nations could see

The Enforcement Coordination Cell brought reporting from twelve partner nations into a shared analytical process. Allied naval ships and maritime patrol aircraft operating around the Korean peninsula contributed observations, imagery, vessel reporting, and other collection. Different countries also brought registry information, prior intelligence, regional knowledge, and legal authorities.

The ECC did not command another country's ships, aircraft, or enforcement agencies. Its role was to help coordinate collection, compare what different partners had observed, and create a clearer shared picture of possible sanctions evasion.

When an aircraft or ship observed suspicious behavior, the report still had to be connected to everything already known about the vessel. Analysts needed to determine whether it matched prior activity, whether the vessel had changed identities or ownership, whether another partner had observed related behavior, and what information could legally be shared.

If the evidence supported further action, the team prepared a releasable intelligence product for the government with the authority or opportunity to respond. That government—not the ECC—decided whether to continue monitoring, inspect cargo, restrict port access, interdict a vessel, or take another enforcement action.

The watch floor had information, but not a connected history

The initial problem was not a lack of reporting. Useful information lived across separate trackers, historical reports, imagery systems, messages, and partner channels.

When a new observation arrived, analysts often had to rebuild the vessel's history manually. They searched for earlier reporting, compared identifiers, reviewed previous activity, checked whether other partners had reported the same vessel, and reconstructed what had happened during earlier shifts.

My role was to redesign the path from reporting to review

As an Operations Manager, I coordinated multinational intelligence collection operations across twelve partner nations within the Pacific Security Maritime Exchange.

I helped map the existing watch-floor process: what information arrived, where it was stored, which steps required repeated manual entry, where duplicate records were being created, and where context was lost between collection, analysis, and dissemination.

I then helped implement Palantir Maven AIP workflows that integrated vessel behavior, intelligence reporting, collection activity, and partner context into a shared operating picture for analysts and senior decision-makers.

The technology was only one part of the work. The larger task was defining how the watch floor should use it:

• what information belonged to the same vessel or network
• which indicators should prompt additional review
• what evidence an analyst needed to see
• how uncertainty and source provenance should be displayed
• what information could be released to each partner
• where an automated step had to stop and a human decision had to begin

Object-based intelligence connected the reports

Previously, each report could become another separate starting point. The revised workflow organized the reporting around the vessel being assessed, keeping its names, companies, locations, encounters, and earlier reports connected to the same history.

When a new observation arrived, it could be associated with the existing vessel record rather than treated as an isolated document. Analysts could review it beside the vessel's previous behavior, known relationships, and earlier assessments.

This did not turn an observation into proof. It created a more complete and traceable picture of what was known, where it came from, what remained uncertain, and why the activity deserved—or did not deserve—further attention.

AI helped surface patterns and organize the queue

I also helped develop AI-assisted workflows for detection and recognition.

Detection focused on combinations of activity that might warrant review: a tracking gap aligned with unusual movement, an encounter with another vessel, a route deviation, a change in identity, related partner reporting, or activity near a relevant location.

Recognition helped connect new observations to existing vessels, aliases, companies, locations, and relationships. Language-model-supported workflows could extract key details from incoming reporting, summarize relevant history, and present the analyst with the evidence behind an alert.

The system's role was to prioritize information and reduce repetitive work. It did not determine that a violation had occurred.

The final product had to be usable by another government

In a multinational environment, an assessment is only useful if it can be shared with the partner able to act.

Every source carried different restrictions. Analysts needed to preserve where the information came from, how confident the assessment was, what remained uncertain, and which details could be released to a particular country.

I helped declassify and disseminate maritime intelligence as releasable products for partner nations. Those products supported governments including Korea, Japan, and Taiwan as they identified, interdicted, and seized vessels violating UN sanctions under their own authorities.

The ECC's role remained coordination and intelligence support. The legal and operational decision belonged to the receiving government.