Category: Defence

  • AI at Sea: From Situational Awareness to Maritime Defence Advantage

    AI at Sea: From Situational Awareness to Maritime Defence Advantage

    AI at Sea: From Situational Awareness to Maritime Defence Advantage

    ARIA & Orca AI – Delivering AI-Enabled Maritime Capability Across Australia

    DEFENCE • MARITIME SECURITY • AI • AUTONOMY • DOMAIN AWARENESS

    A Changing Maritime Operating Environment

    The maritime domain is becoming more complex, contested, and less predictable, particularly across the Indo-Pacific region.

    For Australia, this directly impacts:

    • Maritime Domain Awareness (MDA)
    • Border protection and sovereignty enforcement
    • Protection of critical infrastructure and offshore assets
    • Naval operations across distributed and contested environments

    Recent incidents involving GNSS interference and spoofing have demonstrated that positioning data can no longer be assumed to be reliable.

    When this occurs, crews revert to:

    • Radar
    • Visual observation
    • Procedural experience

    In low visibility or high-density environments, this introduces operational risk. Situational awareness degrades, workload increases, and decision-making becomes more constrained.

    Introducing the ARIA + Orca AI Partnership

    ARIA Project Management Solutions is now a Channel Partner for Orca AI, supporting capability deployment across:

    • Australian Defence Force (ADF), including Royal Australian Navy operations
    • Australian Border Force (ABF) and Maritime Border Command
    • Maritime security and border protection operations
    • Naval and autonomous systems
    • Ports, offshore infrastructure, and critical maritime assets

    The focus is not the technology itself.

    It is the integration of AI into operational maritime capability.

    AI provides an independent layer of awareness when positioning data becomes unreliable.

    Operating When Positioning Systems Degrade

    GNSS disruption is no longer an edge case.

    When positioning data is unreliable:

    • AIS information may be distorted or misleading
    • Vessel position confidence is reduced
    • The shared operational picture breaks down

    In these conditions, crews are required to interpret incomplete or conflicting information under time pressure.

    AI-enabled perception introduces an independent reference layer, allowing crews to:

    • Maintain continuous awareness of surrounding traffic
    • Detect inconsistencies between sensor inputs
    • Identify potential risks earlier

    This does not replace existing systems. It stabilises decision-making when those systems degrade.

    This is particularly relevant for border protection, littoral operations, and congested port approaches, where ambiguity in the operational picture introduces immediate risk.

    Extending the Limits of Traditional Systems

    Conventional navigation tools each have limitations:

    • Radar performance degrades in cluttered or congested environments
    • AIS depends on cooperative transmission
    • Human vision is constrained by visibility, fatigue, and workload

    AI-enabled perception addresses these constraints through:

    • Multi-spectral electro-optical and thermal sensing
    • Continuous object detection and classification
    • Contextual analysis of vessel behaviour
    • Prioritisation of relevant targets

    This enables crews to focus on what matters most, rather than managing excessive or ambiguous inputs.

    AI-Enabled Digital Watchkeeper

    In degraded or low-visibility conditions, maintaining situational awareness becomes increasingly difficult.

    AI-Assisted Detection in Low Visibility Conditions

    AI-enabled perception provides continuous awareness of surrounding traffic, supporting earlier detection, classification, and response in low visibility conditions.

    AI does not replace the bridge watchkeeping team.
    It provides an additional layer of perception and context, allowing crews to identify developing risks earlier and act with greater confidence.

    From Awareness to Decision Timing

    The primary shift is not increased visibility alone, but earlier understanding of developing situations.

    Operational use has shown:

    • Detection of small or non-cooperative vessels earlier than visual confirmation
    • Identification of vessel intent prior to manoeuvre
    • Improved navigation performance in low visibility conditions

    This provides crews with additional time to:

    • Assess risk
    • Adjust course or speed
    • Maintain safe separation

    The outcome is more stable and deliberate decision-making under pressure.

    Orca AI Defence Architecture: A System of Systems

    Orca AI’s Defence capability extends beyond individual vessels into a fully integrated maritime awareness ecosystem.

    It combines fixed infrastructure, mobile assets, and AI-driven command intelligence into a unified operational picture.

    Integrated maritime awareness architecture combining shore-based (Sentinel), vessel-based (Beacon), and command-level (AMOS) AI systems.

    1. Sentinel – Persistent Shore-Based Awareness

    Sentinel provides fixed, passive monitoring across critical maritime environments, including:

    • Shorelines and maritime borders
    • Ports, harbours, and vessel traffic approaches
    • Naval bases and defence precincts
    • Offshore oil and gas platforms
    • Subsea and energy infrastructure corridors

    Operating continuously, Sentinel delivers:

    • Electro-optical and infrared (EO/IR) detection and tracking
    • AI-driven situational awareness and threat reasoning
    • Behaviour and intent analysis, not just object detection
    • Persistent monitoring across wide geographic areas

    This enables early identification of:

    • Non-cooperative or AIS-silent vessels
    • Unusual vessel behaviour near critical infrastructure
    • Emerging risks within port and offshore environments

    Outcome:

    A persistent baseline awareness layer supporting national maritime security, border integrity, and protection of critical maritime assets.

    2. Beacon – Mobile & Autonomous Maritime Perception

    Beacon extends this capability to vessels and mobile platforms, including:

    • Patrol vessels
    • Naval assets
    • Uncrewed surface vessels (USVs)

    It enables:

    • Multi-spectral detection, classification, and tracking
    • Real-time behavioural analysis and intent prediction
    • Autonomous collision avoidance and navigation support
    • Edge-based AI processing for resilient, low-latency operation

    Beacon is designed to operate in degraded and contested environments, supporting:

    • GPS-denied navigation
    • Autonomous or assisted vessel control
    • Integration with existing fleet systems

    Beacon is particularly applicable to patrol vessels, offshore security platforms, and distributed naval operations, where maintaining awareness under degraded conditions is critical.

    Outcome:

    Enhanced manoeuvre, awareness, and decision-making — even when traditional systems are compromised.

    3. AMOS — Intelligent Maritime Orchestration

    At the system level, AMOS provides AI-enabled command and control integration across the maritime domain, supporting a shared operational picture across Defence, border protection, and civilian maritime stakeholders.

    It delivers:

    • A unified operational picture across vessels, shore systems and unmanned assets
    • Real-time fusion of distributed sensor data
    • Continuous tracking and prioritisation of threats
    • Actionable intelligence for decision-makers

    By integrating multiple data sources into a single coherent view, AMOS enables:

    • Faster, more informed decisions
    • Coordinated responses across assets and agencies
    • Scalable maritime awareness across large regions

    Outcome:

    See earlier. Decide faster. Act with precision.

    Applicable across ports, offshore platforms, and maritime border operations.

    Maintaining Situational Awareness in Low Visibility

    In low visibility and congested environments, the ability to detect and track surrounding traffic becomes increasingly constrained using traditional methods alone.

    Operational Example:

    AI-enabled perception maintains continuous awareness of surrounding traffic, supporting early detection, classification, and response in low visibility and high-density environments.

    This provides an additional layer of perception for the command and watchkeeping teams, enabling earlier understanding of developing situations and more stable decision-making under pressure.

    From Platforms to Networks

    Maritime operations are shifting from platform-centric awareness to networked intelligence.

    With connected systems:

    • Vessels can access information beyond their immediate surroundings
    • Conditions along planned routes can be understood earlier
    • Operators gain visibility across multiple assets simultaneously

    This enables:

    • More proactive voyage planning
    • Improved coordination between vessels and shore
    • Reduced reliance on single-source data

    Human-Centric Integration

    AI-enabled systems are most effective when integrated to support, not replace, operators.

    Key impacts include:

    • Reduced cognitive load on bridge teams
    • Improved clarity in complex environments
    • Greater confidence in decision-making
    • Enhanced training through replay of real operational events

    The objective is not automation for its own sake.

    It is better-informed human decision-making.

    In addition to operational support, these systems contribute to training, assurance and incident investigation functions. Recorded operational data enables replay of real-world scenarios to support bridge team training, mission rehearsal, and post-incident analysis, both at sea and ashore.

    This supports continuous improvement, strengthens procedural compliance, and provides an evidence base for operational and safety assurance.

    Implications for Australia

    For Defence and maritime security stakeholders across Australia, these capabilities directly support:

    • Maritime Domain Awareness (MDA) across coastal and offshore regions
    • Border protection and sovereignty enforcement operations
    • Naval operations in distributed and contested environments
    • Protection of ports, offshore energy assets and critical infrastructure
    • Increased resilience against GNSS disruption and electronic interference
    • Training and operational readiness across maritime forces
    • Incident investigation and evidence-based assurance

    This aligns with broader national priorities in delivering sovereign capability, including:

    • Sovereign capability development
    • Integrated maritime surveillance and response
    • AI-enabled operational systems across Defence and Border Force environments

    Operational Use Cases Across Defence and Maritime Security

    AI-enabled maritime perception and decision-support capability can be applied across a range of operational environments relevant to Australia.

    Australian Defence Force (ADF)

    Supports naval operations across distributed and contested environments, including:

    • Enhanced awareness in low visibility and dense traffic
    • Detection of non-cooperative or AIS-silent vessels
    • Support to autonomous and uncrewed systems
    • Decision-making under degraded navigation conditions

    Australian Border Force (ABF) & Maritime Border Command

    Strengthens border protection and sovereignty enforcement through:

    • Detection and tracking of vessels operating without AIS
    • Improved awareness in littoral and near-coastal environments
    • Early identification of anomalous vessel behaviour
    • Enhanced operational response in complex and congested maritime zones

    Ports and Maritime Infrastructure

    Supports safe and secure port operations and vessel movements, including:

    • Monitoring of vessel traffic approaches and harbour environments
    • Early identification of navigation risks in congested waterways
    • Enhanced visibility during low visibility conditions (fog, night operations)
    • Support to vessel traffic services (VTS) and port authorities

    Offshore Energy and Critical Maritime Assets

    Provides persistent awareness around offshore platforms and infrastructure, including:

    • Monitoring of vessel activity near oil and gas platforms
    • Detection of unauthorised or unusual vessel approaches
    • Protection of subsea and energy infrastructure corridors
    • Improved safety and incident prevention in remote offshore environments

    These use cases demonstrate how AI-enabled perception extends beyond navigation safety, supporting broader operational, security and infrastructure protection outcomes.

    ARIA’s Role: From Capability to Deployment

    Delivering operational capability requires more than technology.

    It requires integration, assurance and alignment with operational environments.

    ARIA supports:

    • Integration into existing operational environments
    • Alignment with Defence governance and assurance requirements
    • Implementation across pilot, transition and scale
    • Embedding into operational workflows and training systems

    From concept to operational capability.

    Deploy AI-Enabled Maritime Capability

    ARIA works with Defence, government, and industry to integrate advanced technologies into operational environments.

    Contact ARIA to discuss capability deployment

    Final Observation

    AI is already being applied at sea.

    The key difference is no longer access to technology.

    It is the ability to integrate, trust, and deploy it effectively.

  • The Future of Naval Sustainment: AI, Data and Decision Advantage

    The Future of Naval Sustainment: AI, Data and Decision Advantage

    Artificial intelligence and advanced analytics are beginning to transform how complex maritime platforms are sustained. By shifting from reactive maintenance toward predictive, data-driven decision support, defence organisations can improve fleet availability, reduce lifecycle costs, and strengthen sovereign maritime capability.

    Recent research initiatives exploring the application of artificial intelligence to naval sustainment illustrate how digital technologies can support engineering decision-making across complex defence platforms.

    From Reactive Maintenance to Predictive Sustainment

    Modern naval platforms are among the most complex engineered systems in operation today. A single vessel integrates propulsion, combat systems, sensors, communications networks, electrical distribution, and mission systems — all operating in demanding environments over service lives that often exceed three decades.

    Traditional sustainment approaches rely on scheduled maintenance cycles, inspections, and engineering experience to identify potential issues. While these processes remain fundamental, they often detect degradation only after it has begun to affect system performance.

    Artificial intelligence and machine learning provide an opportunity to augment these processes. By analysing large volumes of operational and engineering data, predictive models can identify patterns that signal potential equipment degradation before failures occur.

    This enables sustainment teams to move toward a predictive maintenance model, where engineering decisions are supported by data-driven insight rather than solely by periodic inspection cycles.

    Digital Technologies Transforming Naval Sustainment

    Several digital technologies are now influencing how complex maritime platforms are sustained and maintained.

    Artificial Intelligence and Machine Learning

    Used to analyse engineering and operational data, these technologies can detect patterns associated with equipment degradation and operational risk.

    Digital Twins

    Virtual models of platforms or systems allow engineers to simulate performance, test maintenance strategies, and explore potential failure modes.

    Integrated Data Environments

    Modern sustainment environments increasingly integrate engineering data, maintenance records, logistics information, and operational reporting into unified data platforms.

    Human–AI Teaming

    Decision-support tools provide engineers and sustainment managers with insights that support informed judgement, rather than replacing human expertise.

    Together, these capabilities support a transition toward data-informed sustainment strategies that improve operational readiness while managing lifecycle cost.

    Collaboration Across Industry and Academia

    Innovation in naval sustainment increasingly occurs through collaboration between industry, academia, and government organisations.

    A recent initiative involving the University of Technology Sydney and Navantia Australia is exploring the application of artificial intelligence to support decision-making in naval sustainment environments. Industry reporting highlights how AI-enabled analytics could help engineering teams anticipate maintenance requirements and improve fleet availability.

    ARIA Project Management Solutions Pty Ltd (“ARIA Solutions”) is proud to be supporting aspects of this broader innovation ecosystem. Through its work across maritime capability programs, systems engineering, and sustainment environments, ARIA Solutions contributes to the translation of emerging technologies into deployable, supportable capability outcomes.

    ARIA Solutions’ role in such initiatives reflects its broader focus on bridging innovation, systems thinking, and disciplined delivery in complex environments.

    Strengthening Australia’s Maritime Capability

    Australia’s maritime capability programs represent long-term national investments, with many platforms expected to remain in service for several decades.

    Ensuring these platforms remain operationally available requires not only robust engineering practices, but also the ability to integrate emerging technologies that enhance sustainment effectiveness.

    Predictive analytics, digital engineering environments, and AI-enabled decision support have the potential to strengthen sustainment outcomes by:

    • improving fleet availability
    • reducing unplanned maintenance
    • supporting engineering decision-making
    • improving lifecycle cost management

    As these technologies mature, they are likely to become an increasingly important component of Australia’s sovereign maritime capability ecosystem.

    Further Reading

    About ARIA

    ARIA Project Management Solutions Pty Ltd (“ARIA Solutions”) supports government, defence, industry, and research partners in the delivery of complex programs across maritime capability, infrastructure, and strategic technology sectors.

    ARIA Solutions specialises in program leadership, systems thinking, sustainment strategy, and innovation translation — helping organisations move from concept to deployable, supportable capability in complex and regulated environments.