Field notes

When Navigation Data Can No Longer Be Trusted

Satellite navigation has become so deeply embedded in modern shipping that most vessels assume the position shown on the bridge is correct.

But that assumption is becoming increasingly dangerous.

Across multiple regions, vessels are experiencing GNSS disruption, GPS spoofing, AIS inconsistencies, and unexplained position drift. In many cases, systems continue operating normally. The data simply stops reflecting reality.

The problem is not always obvious.

Sometimes the vessel position jumps. Sometimes the heading no longer matches actual movement. Sometimes multiple vessels appear clustered in impossible locations. Sometimes everything looks plausible enough that nobody notices immediately.

That is what makes navigation trust loss operationally dangerous.

The Real Risk Is Not Signal Loss

When people think about GNSS problems, they often imagine a total outage.

In reality, modern interference is frequently subtle.

Spoofed or manipulated signals may still look valid to onboard systems. GPS receivers continue producing coordinates. AIS continues transmitting. ECDIS still displays a position.

The issue is that the information can no longer be independently trusted.

This creates a difficult operational environment where bridge teams are forced to continuously verify data rather than simply use it. In degraded GNSS environments, that means more cross-checking, higher workload, and reduced confidence in electronic navigation systems.

Why Traditional Monitoring Often Misses the Problem

Most vessel systems are designed around the assumption that GNSS itself is trustworthy.

If the GPS receiver reports a position, many systems consume that data without independently verifying whether the vessel motion actually makes sense.

This creates blind spots.

For example:

  • a vessel may appear to move while physical motion sensors indicate stability
  • reported speed may not align with physical acceleration
  • heading changes may not match the vessel's movement profile
  • AIS and GNSS may slowly drift out of alignment
  • valid-looking positions may violate expected movement behaviour

By the time the issue becomes visually obvious, the vessel may already be operating on corrupted data.

GeoWatch: Independent Verification of Vessel Motion

GeoWatch was designed around a simple principle:

Navigation data should be verified, not blindly trusted.

Instead of relying solely on satellite positioning, GeoWatch independently compares GNSS behaviour against real vessel motion using onboard inertial sensing and anomaly analysis.

This allows the system to detect situations where:

  • vessel movement does not match reported position
  • heading and track diverge abnormally
  • drift patterns appear unnatural
  • satellite conditions degrade
  • position behaviour becomes inconsistent with physical motion

Importantly, GeoWatch operates independently from bridge systems and does not require complex integration.

The goal is not to replace onboard navigation systems.

The goal is to provide an additional truth layer when confidence in navigation data begins to degrade.

The Importance of Independent Evidence

One of the biggest challenges during GNSS incidents is proving what actually happened afterwards.

Many systems overwrite data rapidly or only store processed information rather than raw navigation evidence.

GeoWatch and GeoTape focus heavily on preserving raw GNSS observations and anomaly records so operators have independent evidence available for:

  • incident review
  • post-voyage analysis
  • operational verification
  • internal investigations
  • insurance and legal support

Because once trust in navigation data is lost, evidence matters.

Maritime Navigation Is Changing

GNSS spoofing and interference are no longer theoretical cyber topics.

They are operational realities affecting commercial shipping today.

As vessels become more dependent on satellite-based positioning, the industry must begin thinking differently about verification, resilience, and evidence.

The question is no longer:

"Can GNSS be disrupted?"

The real question is:

"How quickly can you detect when navigation data stops matching reality?"

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