HAVELSAN adds AI layer to ADVENT combat management

HAVELSAN has introduced ADVENT-AI, an artificial intelligence-supported layer for its ADVENT naval combat management system, as navies seek faster ways to process sensor, track, and operational data at sea.

The system is being shown at SAHA EXPO 2026 through an asymmetric threat scenario. Demonstrated functions include track-level anomaly detection, real-time detection and classification of surface objects under electronic warfare and jamming conditions, AI-supported tactical picture generation, maritime navigation support, platform safety, intelligent monitoring, voice assistant support, and AI-supported naval gunfire effectiveness prediction.

ADVENT is already used by the Turkish Navy and export customers. ADVENT-AI is designed as an upgrade layer rather than a separate combat system, allowing new functions to be introduced through the system’s modular and distributed architecture. That approach gives existing platforms a path to AI-supported decision tools without waiting for new ship classes.

Combat management systems form the digital spine of modern warships. They connect radars, electro-optical sensors, electronic support measures, sonars, weapons, navigation tools, datalinks, operator consoles, and command decisions. A ship may carry high-end sensors and weapons, but its combat value depends on how quickly the crew can build a reliable tactical picture, identify threats, prioritise actions, and assign effectors.

That workload is growing. Surface fleets now operate among uncrewed systems, civilian traffic, low-signature threats, drone swarms, electronic attack, cyber risks, and dense missile environments. The operational picture can change faster than human teams can manually filter. AI-supported functions are being added to reduce the time spent searching for anomalies, classifying contacts, and correlating inputs under pressure.

For shipbuilders and systems integrators, ADVENT-AI reflects the rising value of software-defined naval upgrades. A combat-management refresh can extend the relevance of existing platforms without changing hull structure, propulsion, or major machinery. It still demands careful integration. Software has to interface with sensors, weapons, ship networks, cybersecurity controls, data recorders, simulation environments, training systems, and support documentation.

Surface-object classification under jamming and electronic warfare conditions points to the direction of naval AI development. Maritime operations involve cluttered radar returns, ambiguous tracks, spoofing, emissions control, civilian vessels, small uncrewed craft, and weather effects. AI tools need to operate inside that uncertainty while giving crews recommendations they can interrogate and trust. Explainability, audit trails, human control, and performance evidence across false positives will shape acceptance.

The gunfire effectiveness prediction function adds another layer of operational relevance. Naval guns are being reconsidered for counter-drone, swarm defence, surface engagement, and lower-cost interception roles. Predicting effectiveness involves target movement, range, weather, ammunition type, sensor quality, weapon status, platform motion, and engagement constraints. Embedding AI support into that chain could reduce wasted ammunition and improve confidence, provided sea trials can prove reliability.

ADVENT-AI sits inside a broader Turkish defence technology expansion. Türkiye’s industry is growing across naval combat systems, electronic warfare, missiles, UAVs, counter-drone equipment, and command-and-control tools. IN Defence recently covered a related Turkish systems push in Aselsan launches counter-drone and EW systems, where layered sensors, jamming, high-power microwave systems, lasers, kinetic interception, and vehicle self-protection equipment pointed to rising demand for rugged electronics and integration capacity.

HAVELSAN’s opportunity is also export-driven. Combat management systems create long-term relationships with navies because upgrades, training, configuration management, cybersecurity patches, and weapon integrations continue throughout a ship’s life. Adding an AI layer gives ADVENT users a route to faster decision support and better performance in contested environments while preserving a familiar operating architecture.

The manufacturing element is less visible than in ship or missile production, but it is still substantial. Naval AI systems require secure software pipelines, rugged processing hardware, operator consoles, test benches, simulation data, cybersecurity accreditation, support teams, and hardware refresh plans. If deployed across multiple ship classes, the supplier has to manage variant configurations and ensure updates do not break ship-specific integrations.

Fleet operators gain a retention benefit when AI tools can be added to a known system. Budgets are being pulled across missiles, submarines, frigates, uncrewed systems, air defence, and cyber resilience, which makes digital upgrades attractive when they can deliver capability without a new hull. ADVENT-AI gives HAVELSAN a way to compete in that upgrade market while extending the service relevance of its existing combat-management installations.

Deployment will depend on evidence from trials rather than demonstration scenarios. AI tools in combat systems need to be judged by reliability under adverse conditions, operator trust, cyber resilience, and clear boundaries between machine recommendation and human decision. False classification, delayed alerts, data poisoning, or poor interface design could degrade performance rather than improve it.

Warship capability is increasingly defined by upgrade capacity as much as by displacement, radar aperture, or missile cells. ADVENT-AI shows how naval suppliers are moving the competition into the decision layer, where software, data, autonomy, and electronic warfare performance will determine how well existing fleets adapt to new threats.