Decision Support
Our collaborative mission planning environment enables defense forces to simulate competing courses of action; assess costs, opportunities, and tradeoffs; and prepare to take rapid, decisive action when it matters most. Turium also helps to build enhanced decision-support system for the defense sector, such as intelligent drones, automatic cruise missiles, automatic weapons that take decisions in accordance with suspicious objects. It helps humans in the loop to make a decision by analyzing data and predicting the best course of action for them.
Cyber Security
The National Security system of any country is one of the most important parts to maintain the security of the whole nation. Hence military/defense systems are most sensitive to cyberattacks, as it can lead to loss of crucial information and can also compromise the National Security. To this end, AI and ML embedded systems powered by Turium can automatically protect networks, computer programs, and data from any kind of unauthorized access. Further, ML-enabled web security systems can record the pattern of cyberattacks and develop counter-attack tools to tackle them.
Medical Aid
Immediate medical aid is not always available on the battlefield. It may be a lack of actual medics in the area, injuries beyond the skills of a medic, or a matter of triage, where medical personnel prioritize the most badly injured. AI in medicine is a well-established field in the commercial sector, but not so much in the defense. An AI-enabled ML system like Turium can support medics in diagnosing injuries, monitoring patients, and providing treatment plans when immediate evacuation of the patient is not possible. The idea is to provide the medic with decision support when it comes to handling traumatic injury by using an ensemble of classifiers, frequently tuned via machine learning to predict life-threatening and difficult-to-detect injuries. It would present the steps to treat those injuries through a simple, easy-to-use interface that tailors itself to the needs and skill level of the user.
Logistics & Transportation
For each successful operation, it is required to effectively transport essential components such as goods, weapons, ammunition, etc. Embedding Turium in the transportation system can reduce transportation costs and also human operational efforts. Strategists can leverage our solutions for resilient logistics to assess competing supply chain strategies, plan for disruptions, and redistribute existing resources to where they are needed most.
Target Recognition and Tracking
Machine learning and artificial intelligence are also involved in enhancing the accuracy of target recognition in complex combat environments. These techniques allow defense forces to gain an in-depth understanding of potential operation areas by analyzing reports, documents, news feeds, and all forms of unstructured information for situational analysis and a prediction advantage.
Defence combat Training
Machine learning enables computers or machines to train the troopers with various combat systems deployed in various operations in warzones. It provides stimulation and training with various software engineering skills that help during a difficult situation. Reinforcement learning in Turium can help in building a combat training system where they learn by reward and punishment as feedback. This approach becomes more significant in maintaining an enhanced training system for all chains of command where continuous and dedicated training is essential.
Threat Monitoring
Threat monitoring is defined as a network monitoring solution/system, which is dedicated to analyzing, evaluating, and monitoring an organization's network and endpoints to prevent various security measures such as network intrusion, ransomware, and other malware attacks. Machine Learning in Turium helps in threat detection through various categories such as Configuration, Modeling, Indicator, and Threat Behaviors'. Algorithms are trained to run pattern recognition, and detect the malware behaviors' or ransomware attacks before it enters the system. AI also plays a vital role in developing an intelligent system for threat awareness, such as drones. These drones are equipped with intelligent software and algorithms that enable them to detect threats, analyze them, and prevent them from entering into an uncharted territory through the Machine Learning advantage.
Border protection
The defense forces protects our country from border attacks by ensuring dedicated patrolling of the country inside and outside the borders. Although soldiers are always positioned to patrol the border, nowadays, various smart sensors and intelligent machines such as drones are playing a crucial role in the border security system. These drones can be equipped with AUTO-ML capabilities of Turium that would detect, analyze, and inform against any suspicious activity by sending information to edge data centres in real-time.
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