Iran War Exposes AIS Gaps and the Need for Multi-Source Intelligence

At a Glance

• The Iran war exposed fundamental limits in AIS-based maritime visibility.
• Dark activity, AIS spoofing, and controlled routing made vessel tracking unreliable.
• Multi-source intelligence enables verification beyond self-reported signals.
• Commercial and government stakeholders rely on it to maintain operational awareness.
• In contested environments, visibility shifts from tracking to verification.

The Iran War Exposed a Visibility Gap

Operation Epic Fury did not stop maritime activity. It changed how that activity is conducted and how visible it is.

From the outset, the electronic environment degraded at scale. More than 1,100 vessels were affected by GPS and AIS interference within the first 24 hours, with signals displaced onto airports, inland infrastructure, and artificial clusters across the Gulf. 

As the conflict progressed, that disruption expanded to more than 1,650 vessels, with persistent jamming zones, signal distortion, and false positioning becoming a sustained feature of the operating environment.

At the same time, maritime behavior shifted. Vessels slowed, held position, rerouted, or operated under controlled transit conditions around the Strait of Hormuz. The Gulf of Oman became a staging and waiting zone, while traffic through Hormuz moved under restriction rather than open navigation.

Deceptive shipping practices adapted under these conditions. AIS gaps, identity manipulation, and controlled visibility patterns remained present throughout the conflict, alongside more structured routing and access controls.

Across the Strait of Hormuz and the wider Gulf, vessels continued to move, load, and trade. But the signals used to track them became increasingly unreliable.

This is not incidental. AIS was not designed for conflict conditions. It is an open broadcast system with no authentication or verification layer, meaning transmitted data can be spoofed, jammed, or falsified. In high-risk environments like the Gulf, these vulnerabilities are actively exploited.

The result is a degraded and, at times, misleading operational picture precisely when clarity is most critical.

AIS Shows Intent, Not Reality

AIS remains the backbone of maritime awareness for most organizations. But it is fundamentally a declarative system.

It tells you:

• What a vessel reports.
• Where it claims to be.
• Where it says it is going.

It does not tell you:

• Whether that information is accurate.
• Whether the vessel is operating without transmission.
• Whether its behavior matches its declaration.

These limitations have long been known, but rarely this exposed. AIS has always relied on self-reported data, making it vulnerable to manipulation by actors seeking to obscure identity, location, or activity.

What the Iran conflict demonstrated is how quickly those weaknesses can scale under pressure.

During the Iran war, vessels:

• Disabled AIS during loading operations.
• Spoofed identities and destinations.
• Operated along controlled corridors under military oversight.
• Executed irregular routing patterns, including U-turns and holding behavior.

AIS did not fail as a system. But under conflict conditions, its limitations became operational constraints, not just data imperfections.

What Changes in Conflict Environments

The Iran war shows how these patterns scale under real operational pressure in ways that are difficult to manage with traditional monitoring alone.

Deception Becomes Systematic

Spoofing, identity manipulation, and AIS gaps are not isolated events. They become embedded in daily operations, turning AIS into a partial and often misleading signal rather than a reliable baseline. Vessels go dark during loading, reappear with altered identities or destinations, and operate with controlled visibility rather than full transparency.

This was evident at Kharg Island, where two non-AIS transmitting VLCCs were detected loading approximately 4 million barrels via satellite imagery, while not broadcasting positions, demonstrating that critical activity continues even when AIS shows no presence.

Control Replaces Open Navigation

Transit shifts away from standard commercial lanes into defined corridors, meaning vessel movement no longer reflects purely commercial decision-making. In Hormuz, navigation was governed by Iranian routing control, approval mechanisms, and later overlapping U.S. enforcement measures, reducing predictability and making AIS-reported routes insufficient to understand actual operating conditions. AIS shows the route, but not the constraints shaping it. 

This was reflected in how vessels actually moved. 

One bulk carrier that had entered the Strait on April 6 with AIS switched off exited less than 48 hours later. On April 7, the St. Kitts and Nevis-flagged vessel executed a U-turn inside the Strait, reflecting operational hesitation ahead of the ceasefire announcement and uncertainty around access conditions. It later transited outbound via Larak Island through the IRGC-controlled corridor.

Enforcement Adds a Second Layer of Risk

The introduction of mine clearance operations, followed by a U.S. blockade, created a dual-control environment. Vessels were no longer responding to a single authority or constraint, but to competing enforcement frameworks, making routing decisions dependent on evolving military posture rather than fixed rules.

This became visible on April 11, when a ballast VLCC repeatedly altered course following the ceasefire. After bunkering in Fujairah, it initially set a destination for Corpus Christi, then reversed course roughly 42 hours later toward Iraq, anticipating resumed Hormuz-linked exports. After approaching Larak Island on April 11, it executed a U-turn and moved south of the Strait instead of completing transit.

This behavior cannot be explained through AIS data alone, as the driver is enforcement risk rather than navigation logic.

Behavior Becomes Inconsistent

Vessel movement patterns diverge from commercial norms. Ships turn around mid-transit, drift in holding areas, reduce speed, or hug territorial waters to minimize exposure. These are not routing optimizations. They are risk responses, breaking the link between observed movement and intent.

For example, the RICH STARRY, a falsely flagged, U.S.-sanctioned handy-size tanker carrying Iranian cargo, repeatedly abandoned and resumed transit around the blockade window, ultimately turning back after nearly clearing the Strait, while other vessels drifted in the Gulf of Oman or avoided completing transit altogether.

Decision-Making Compresses

Operators are forced to act on incomplete or unreliable information. Routing, compliance, and commercial decisions must be made in real time, without a fully trusted picture of vessel location, intent, or exposure, increasing both operational and compliance risk.

This was evident in the gap between AIS visibility and actual vessel positions. On April 15, 19 vessels above 250 meters were detected via SAR imagery in the Hormuz region, including four positioned west of the Strait likely preparing for outbound transit, three east of the Strait, and at least eleven concentrated near Larak Island.

This concentration was not fully visible through AIS alone, highlighting how critical positioning and intent can be missed without independent verification.

Single-source visibility is not sufficient in environments where deception, control, and enforcement operate simultaneously.

Multi-Source Intelligence Changes the Model

Multi-source intelligence addresses the core gap exposed in this conflict: the difference between what is reported and what is actually happening at sea. It does not rely on what vessels declare. It observes what they do.

In the Iran war, where AIS signals were degraded, manipulated, or absent, multi-source intelligence provides independent visibility into vessel presence, movement, and activity, even under constrained and contested conditions.

Instead of asking “What is the vessel reporting?”, multi-source intelligence answers: What is physically present, where is it operating, and how does that behavior align with risk?

In an environment defined by deception, controlled access, and overlapping enforcement, this distinction becomes operationally critical.

How This Works in Practice: Multi-Source Intelligence Approach

This is not a single-source solution. It is a layered intelligence model designed to close the gap between reported and observed reality.

Windward’s approach starts with AIS to establish the baseline picture of transmitting vessels — identifying, naming, and risk-screening every vessel broadcasting its position. But AIS alone leaves critical gaps, particularly in conflict environments where vessels intentionally go dark.

The second layer introduces satellite-based detection, capturing all vessels physically present in the same area, regardless of transmission status. This allows for the identification of dark vessels operating outside AIS visibility.

These detections are then correlated back to known vessel identities where possible. For vessels that can be identified, Windward applies behavioral analytics, sanctions intelligence, and flag verification to assess risk and exposure.

The result is a verified, multi-source operational picture, not just a reported one.

From Tracking to Verification

The Iran war did not introduce new weaknesses in maritime monitoring. It exposed how critical they become under pressure.

AIS has always had limitations. It is a self-reported system with no authentication layer, making it vulnerable to spoofing, manipulation, and intentional shutdowns, particularly in areas linked to sanctions evasion or illicit activity.

What changed in this conflict is the scale and operational impact of those gaps.

Signal disruption affected more than 1,100 vessels in the first 24 hours, with positions displaced, removed, or falsified.  At the same time, deceptive practices that had existed for years became normalized across the operating environment, rather than isolated to high-risk actors.

The implication is not that AIS stopped working. It is that it became insufficient on its own.

The operating model shifts as a result. Visibility can no longer rely on a single declared signal. It requires cross-verification across independent sources. Detection must extend beyond cooperative vessels transmitting AIS to include non-cooperative vessels identified through satellite and RF data. The focus moves from reported identity to observed behavior.

This is the difference between tracking and verification.

AIS shows what a vessel reports. Multi-source intelligence shows what cannot be hidden.

What This Enables in Practice

Multi-source intelligence changes how organizations operate in environments like the Iran conflict.

Commercial Operators

For commercial operators, the shift is from relying on declared data to validating exposure in real time. Counterparties can no longer be assessed based only on ownership structures, flags, or reported port calls. Vessels may conceal activity, manipulate identity, or operate without AIS during critical phases such as loading. Multi-source intelligence allows operators to verify where a vessel has actually been, detect hidden port calls, and understand true routing rather than reported intent.

This directly impacts compliance and financial risk. Exposure is no longer defined by static screening at a single point in time. It must be continuously assessed based on behavior, movement, and context. In this environment, compliance becomes an ongoing validation process rather than a one-time check.

Governments and Defense

For governments and defense organizations, the impact is more immediate. Maritime domain awareness cannot depend on cooperative signals in contested environments. Vessels operating without AIS, under spoofed identities, or within controlled corridors still need to be detected, tracked, and understood. Multi-source intelligence enables persistent monitoring of chokepoints like the Strait of Hormuz, even under conditions of jamming, denial, or restricted access.

It also extends beyond vessels. Energy infrastructure, offshore activity, and cargo flows can be observed directly, providing a continuous picture of how maritime and energy systems are functioning under pressure.

In these conditions, visibility is not just informational. It directly shapes operational decisions, enforcement actions, and strategic responses.

The Strategic Shift

The Iran war reinforces a transition that has been building for years and is now operationally unavoidable. Visibility is shifting from reliance on a single cooperative signal to intelligence built on multiple independent sources. 

In this conflict, the limitations of AIS are not theoretical. They are operational. Vessels went dark during loading, signals were distorted at scale, and routing behavior no longer aligned with declared intent. The result was a widening gap between what AIS showed and what was actually happening at sea.

The shift is therefore not about replacing AIS, but about redefining its role. AIS becomes one input among many, rather than the foundation of maritime awareness.

At the same time, the focus is moving beyond tracking movement to understanding behavior. Knowing where a vessel is no longer answers the critical questions. Operators need to understand why it is there, how it got there, and whether its behavior aligns with risk. That requires combining satellite detection, emissions tracking, and behavioral context into a single operational picture.

There is also a shift in how data is valued. The challenge is no longer access to information, but confidence in its accuracy. More data does not resolve uncertainty if the underlying signals cannot be trusted. What matters is the ability to verify activity across independent sources and resolve contradictions between them.

AIS remains part of the picture, but it no longer defines it.

What Comes Next

As we continue into the second week of the ceasefire, visibility has not improved. It has become more complex.

Transit through Hormuz remains constrained and inconsistent, shaped by controlled access and selective participation rather than open navigation. At the same time, enforcement dynamics have expanded. Iranian routing control remains in place, while U.S. blockade measures have added a second layer, influencing vessel behavior.

Trade flows have not reverted. They have adjusted. Diversion networks remain active, routing patterns have changed, and operational decisions continue to be made under uncertainty.

The maritime system is functioning, but without a stable or fully trusted operating picture.

The Iran war did not create maritime blind spots. It made them impossible to ignore.

AIS remains a critical part of maritime awareness, but in isolation, it cannot resolve the gap between reported activity and real-world behavior. Multi-source intelligence closes that gap by providing independent verification of vessel presence, movement, and activity, even when signals are degraded, manipulated, or absent.

What the Iran conflict ultimately demonstrates is that visibility is no longer about access to data. It is about confidence in what that data represents.

In this environment, the key question is no longer just where vessels are moving. It is which signals can be trusted to understand what is actually happening.

That distinction defines whether organizations are reacting to incomplete information or acting with clarity.