As the world gears up for the 2026 Nuclear Non-Proliferation Treaty (NPT) Review Conference, a new and multifaceted factor is complicating the global strategic calculus: Artificial Intelligence (AI). The “nuclear-AI nexus” has evolved from a niche technical interest to a prominent feature in global security discussions, with implications for every aspect of the NPT’s three pillars: non-proliferation, disarmament, and peaceful uses of nuclear energy. However, as experts recently cautioned at the “Atoms for Algorithms” webinar, we need to cut through the speculative “AI hype” to ensure this technology remains a means for peace, not an avenue for unintentional escalation.

To regulate the nuclear-AI connection, we first need to understand the technology. As a United Nations Institute for Disarmament Research researcher, Dr. Yasmina Fina suggests, AI is not a monolithic entity, but a “construct” and a “system of systems,” made up of code, software, data, hardware, and sensors. It is a system used to fulfill certain functions, not a threat capable of usurping human decision-making. The risk is the “speed and scale” of AI, which can have myriad implications for performance and strategy. Moreover, Fina warns that comparing nuclear governance to AI governance is unhelpful because the technologies are not the same; nuclear materials are limited and tangible, whereas AI is ubiquitous and digital.

In the context of non-proliferation, AI is touted as a game-changing verification tool. The International Atomic Energy Agency (IAEA) could potentially use “AI agents,” semi-autonomous machines capable of processing large data streams and satellite images to verify the accuracy of declarations by states at a pace humans cannot match. However, Dr. Ian Stewart, Executive Director of the CNS Washington, states that AI will not help states develop nuclear weapons they could not otherwise build, for two physical reasons: AI cannot “magic up” fissile material, and there is no evidence that large language models can transfer the “tacit knowledge” necessary for weaponization.

When it comes to AI and nuclear weapons, political concerns are high. States have been reluctant to allow the IAEA to use open-source data or “black box” algorithms. Should an AI detect an event, the absence of “explainability” or how the machine arrived at its decision could lead to a crisis of political legitimacy for the safeguards system.

The most fraught part of the nexus is disarmament. We are now seeing a “race to adopt” AI in military strategies due to the perceived speed advantage it offers. AI can speed up threat identification and data integration, potentially freeing up more time for decision-making (or, on the other hand, reducing decision-making cycles to the point that humans are simply rubber-stamping decisions).

Aliche Sultini, senior research lead at the Rhode Island School of Design, explains that AI systems create new levels of uncertainty. If a state cannot grasp how an adversary’s AI operates in its decision-making, it might fall into worst-case scenarios, reinforcing alert postures that prevent disarmament. To support disarmament, AI must be used to enhance technical verification and confidence, not to shorten the path to war. Possibly the most disruptive aspect of this interaction is the NPT’s third pillar: peaceful nuclear energy applications. According to Mr. Shota Kamishima of the IAEA, an “affinity” is emerging between nuclear power and AI. We are now moving into a world where energy-hungry AI data centers need the clean, scalable, and reliable power offered by nuclear power, and where nuclear generation and maintenance are improved through AI.

This alliance is especially important for the rollout of Small Modular Reactors (SMRs), for which AI-optimized construction schedules and supply chains are critical. By enhancing predictability and avoiding cost overruns, a major issue for nuclear construction, AI could make nuclear projects more “bankable” and thus more attractive for the global shift towards clean energy. Despite technological progress, the experts agree: human responsibility is essential. Whether it is a safeguards inspector at the International Atomic Energy Agency (IAEA) or a human commander in a nuclear-armed nation, humans are the “last line of defence”.

“Black box” systems are incompatible with a strong safety culture. Governance policies must ensure that AI is implemented with transparency, traceability, and “explainability”. We must also be alert to the potential for AI to be employed by “agents” to monitor sites, which could result in disinformation and the distortion of threat perception through “anomaly detections.” As the 2026 Review Conference draws near, policymakers’ mission should be to “denoise.” Nuclear policy decisions must not be based on science fiction or fear of competition. Rather, we should prioritize “lower stakes” opportunities where AI can help us now, such as employing AI agents to navigate the overwhelming output of the NPT process — making it searchable and highlighting inconsistencies in delegation positions.

The relationship between nuclear and AI is not a bug to be fixed with more software, but a circumstance to be managed by the international community. By prioritizing evidence-based policy and law, human-in-the-loop systems, and the common ground of the peaceful “Atoms for Algorithms” alliance, we can ensure that the digital revolution supports, rather than undermines, the global nuclear order. In the end, the fate of the NPT will not be determined by algorithms, but by human intelligence.

Muhammad Shahzad Akram is a Research Officer at the Centre for International Strategic Studies, AJK. He holds an MPhil in International Relations from Quaid-i-Azam University, Islamabad. He is an alumnus of the Near East South Asia (NESA) Centre for Strategic Studies, National Defence University (NDU), and Washington, DC. His expertise includes cyber warfare and strategy, arms control, and disarmament. Views expressed in this article are the author’s own. 

Navigating the AI and Nuclear Nexus was originally published on Global Security Review.

5GW includes information dominance and manipulation, social engineering, economic coercion, cyber sabotage, and hybrid influence operations. It thrives on ambiguity, exploiting vulnerabilities without traditional combat. In 5GW, the lines between war and peace are blurred. No declarations, no clear enemies, just a relentless assault on stability. The goal is not to conquer land or destroy armies, but to cripple a nation’s spirit, economy, and infrastructure from within.

One of the most potent asymmetric tools of 5GW is economic manipulation. Palau, a serene archipelago of over 500 islands, were untouched by war until 2017. Palau dared to reject Beijing’s “One China Policy.” This move sent shockwaves through its fragile economy in the form of economic strangulation. In a masterstroke of economic coercion, China’s state-backed tour operators erased Palau from the Web.

Travel agencies stopped selling trips. Online searches yielded no results. Palau’s tourism industry, which accounted for 45 percent of gross domestic product (GDP), collapsed. Hotels emptied, airlines shut down, and the once-thriving economy suffocated.

This was not an anomaly, but a pattern. In 2016, South Korea agreed to facilitate the American THAAD missile defense system. China retaliated not with weapons but with economic muscle. Mysterious “fire and safety” violations suddenly appeared in South Korean businesses across China. A nine-month ban on Chinese tourism cost Seoul $6.5 billion. Retail giants like Lotte crumbled, thousands lost jobs, and yet, no war was declared.

The more interconnected the world economy becomes, the more vulnerable nations are to economic blackmail. Even Venezuela, despite its fiery anti-American rhetoric, was bound to the US economy. In 2018, despite Washington branding Nicolás Maduro a dictator and Caracas calling the US a “white supremacist regime,” the two nations still had $24 billion in trade, a quarter of Venezuela’s GDP.

Yet, when Washington imposed sweeping financial sanctions, Venezuela’s economy shrunk by 35 percent in a single year. After all, the United States does not just impose sanctions; it controls the very financial system that runs the world. The US dollar is the bloodline of global trade, and those who defy it find themselves cut off from international markets, unable to access capital or even conduct basic transactions. However, economic warfare breeds resistance.

Russia and China saw the writing on the wall. Between 2017 and 2020, Moscow slashed its holdings of US Treasury securities from $105 billion to just $3.8 billion and shifted towards China’s Cross-Border Interbank Payment System (CIPS), sidestepping American financial hegemony.

The true commanding heights of global dominance lie at the intersection of technology, finance, and unchecked ambition. China is not just selling 5G networks, it is embedding itself into the nervous system of global communication. On the other hand, the US does not just dominate finance, it controls the SWIFT banking system, ensuring economic warfare is just a sanction away. Similarly, corporations do not just innovate, they monopolize, influence, and quietly dictate policy behind closed doors.

“Surge forward, killing as you go, to blaze us a trail of blood.” A battle cry? Indeed. Not from a general on the battlefield, but from Ren Zhengfei, the founder of Huawei, a company waging a war not just against competitors but against entire nations. Britain’s telecom networks are suspected to have Chinese backdoors.

Information is now what oil was in the 1970s, a critical commodity to be controlled. Today, data is the new crude, and the battle to monopolize its flow has already begun. Quantum computing, AI, and machine learning are the new oil rigs, and the nations that dominate these technologies will dictate the future. Unlike oil, information is easily stolen, manipulated, or even weaponized in ways no physical resource ever could.

The first lethal autonomous drone strike in Libya, recorded in March 2020, was a grim reminder of what is to come. A suicide drone, powered by AI, needed no human command—just a target. Fire and forget was the name of the game. Imagine the next phase: terrorist organizations deploying AI-powered swarms, able to strike with precision, invulnerability, and zero risk to human operatives. They would not negotiate, would not retreat, and would prove hard to stop.  

In a world where biological warfare is outlawed, the selective control of food, aid, and healthcare has replaced mass destruction with slow, calculated suffocation. Nations can now deny access to the very essentials of life to break their adversaries in a siege without walls and a war without battlefields. Over 40 percent of the world’s population faces water scarcity, and by 2030, drought could displace 700 million people. The Turkish-backed militias that had control over the Alouk water station in Syria in 2020 was a stark reminder—when resources are weaponized, suffering becomes policy.

Interestingly, the battle of perception is gaining momentum more than ever. In an era of clickbait headlines and disinformation campaigns, lies travel faster than truth. The Massachusetts Institute of Technology found that false news spreads 70 percent faster than real news. From the Soviet KGB planting the rumor in the 1980s that the US government created AIDS to modern deepfake propaganda, deception is the new artillery.

Even culture is not immune. Hollywood exported American ideals, Bollywood spread Indian influence, and K-pop turned South Korea into a global powerhouse. For instance, the Cold War was not just won by missiles, it was won when a West German band sang “Wind of Change,” which then became the anthem of the Berlin Wall’s collapse.

If hunger, water, and financial systems hare already weaponized, the next battlefield is clear—space and the seabed. Subsea communication cables are responsible for carrying 97 percent of global data traffic and are the arteries of the modern economy. They enable over $10 trillion in financial transactions every single day. Yet, these vital lifelines remain shockingly unprotected and are vulnerable to sabotage, espionage, and strategic disruption. A targeted attack on just a handful of these cables could cripple stock markets, paralyze banking systems, and sever military command structures—all without a single warship being deployed.

Meanwhile, the race for space dominance is accelerating. From $63.66 billion in 2024 to an estimated $74.4 billion by 2028, the global military satellite market is growing, fueled by the realization that power no longer lies in boots on the ground, but in eyes in the sky. Satellites provide precision-strike capabilities, secure communication, and real-time battlefield intelligence. The Pentagon warns that the US is already vulnerable, with China and Russia developing anti-satellite (ASAT) weapons.

In this realm, one can say that modern states wage wars without battlefields, where the goal is not to destroy but to subdue—crippling economies, infiltrating cyber networks, and manipulating narratives without a single shot fired. What is never openly begun is rarely officially ended. In 5th-generation warfare, silence is a weapon, perception is the battlefield, and survival means accepting that war never truly ends.

Syeda Fizzah Shuja is a Research Associate at Pakistan Navy War College and an Mphil scholar in Peace and Counter Terrorism. Her work focuses on hybrid warfare and maritime terrorism. She can be contacted at fizzasyed2k@gmail.com.

The 5GW Playbook: Silent Wars and Invisible Battlefields was originally published on Global Security Review.

Maritime ports authorize customs clearance and are involved in regulatory checks, ensuring compliance with national and international law. Ports perform most of these functions digitally. Maritime ports are now under serious threat of malicious cyberattacks that can disrupt and compromise port operations worldwide.

Industry is deeply interconnected, and a cyberattack on one major port can send shockwaves through global trade networks. Consider a scenario where a major port, responsible for handling millions of cargo containers, suddenly halts operations due to a cyberattack. Cranes freeze, logistics systems collapse, and cargo ships are left stranded at sea. This is not a hypothetical scenario; it is a real and escalating threat to global trade.

The maritime industry, long seen as the backbone of international commerce, now faces an urgent cybersecurity crisis. Ports are no longer just about cranes and cargo; they have evolved into digital ecosystems reliant on interconnected networks, automation, and artificial intelligence. As ports become smarter, they are also becoming more vulnerable. Cybercriminals are increasingly exploiting these vulnerabilities, causing financial losses, operational disruptions, and even national security risks.

Maritime cyberattacks are no longer rare occurrences, they are becoming alarmingly frequent. In 2023, a ransomware attack crippled more than 1,000 vessels by targeting a software provider used across the shipping industry. The attack forced the shipping industry to shut down its ShipManager system, affecting global supply chains. A year earlier, the Port of Lisbon suffered a cyberattack that took its website offline for days, with the ransomware group LockBit claiming responsibility and alleging that it had stolen financial reports, contracts, and ship logs.

In Germany, a 2022 cyberattack on two oil companies disrupted fuel shipments, forcing Shell to reroute supplies and exposing the vulnerabilities of critical maritime infrastructure. The 2017 NotPetya ransomware attack, which paralyzed Maersk and caused an estimated $300 million in damage, remains one of the most devastating cyberattacks in shipping history.

Ports are among the most attractive targets for cybercriminals. The motives behind these attacks vary as some hackers seek financial gain, while others aim to steal sensitive trade-related data, and some may even use cyberattacks as part of hybrid warfare.

The economic consequences are staggering, from ransom payments and insurance hikes to delays that can ripple across global supply chains. Beyond financial losses, cyber threats to ports pose serious security risks. For example, a well-coordinated cyberattack on a major port could disrupt military logistics, cripple trade networks, or even manipulate cargo data to facilitate smuggling and illicit trade.

Hackers carry the potential for unauthorized intrusion into ports’ digital networks and interrupt ports’ routine operation through malicious software attacks. The workforce involved in port management may be trapped into revealing sensitive data by clicking on malicious links. The hackers can also disrupt digital networks that regulate critical port infrastructure, such as cranes, pumps, and valves. Supervisory control and data acquisition (SCADA) systems can come under cyber threats disrupting routine functions. Nonstandard computing hardware like sensors, actuators, or appliances that transmit data from the network wirelessly are vulnerable to data theft.

Hackers can steal data such as cargo manifests, crew information, and financial records. They can also manipulate data, such as altering cargo manifests, or manipulate navigation systems. Hackers can also steal intellectual property, such as trade secrets or proprietary software.

Another pressing issue is supply-chain security. Ports rely on a complex web of third-party vendors for logistics, software, and cargo management. If one vendor is compromised, the entire port system could be at risk.

Hackers can also use unmanned aerial vehicles (UAVs) for surveillance means or to attack port infrastructure, such as damaging equipment or disrupting power supplies. Ports may be exposed to cyberattacks through third-party suppliers, such as logistics providers or maintenance contractors. Ports may be exposed to cyberattacks through cargo and containers, which may contain malicious devices or software.

Cybersecurity in the maritime sector is often treated as an afterthought. Many ports still operate with outdated software and weak security protocols, making them easy targets. Given the critical role of ports in the global economy, the widening cybersecurity gap is a growing challenge. Strengthening port security necessitates urgent regulatory mechanisms, some of which are proposed below.

Regulatory Mechanisms

To mitigate the growing cyber threat, ports should adopt internationally recognized cybersecurity frameworks. First, ports should adhere to the rules and protocols of the International Maritime Organization’s (IMO) Maritime Cyber Risk Management Guidelines, the National Institute of Standards and Technology (NIST) Cybersecurity Framework, and ISO 27001 standards. Implementing these frameworks will help establish clear security protocols and ensure that ports are prepared to defend against cyberattacks.

Second, network security should be reinforced by segmenting information technology (IT) and operational technology (OT) systems, preventing malware from spreading across critical infrastructure. Regular penetration testing and vulnerability assessments can further identify weak points before attackers do.

Third, investing in cybersecurity training for port workers is equally crucial. Many cyberattacks exploit human error—phishing e-mails, weak passwords, and social engineering attacks remain among the most common entry points for hackers. A well-trained workforce can serve as the first line of defense against these threats.

Fourth, leveraging artificial intelligence and machine learning for threat detection can enhance ports’ ability to identify cyber risks before they escalate into full-scale attacks. Artificial intelligence (AI)–led systems can monitor network activity in real time, flagging suspicious behavior and predicting potential breaches before they happen. In this regard, the strict security assessments of third-party vendors and blockchain-based cargo tracking can enhance transparency and reduce the risk of supply-chain cyberattacks.

Fifth, beyond prevention, ports should also be prepared to respond effectively to cyber incidents. For this, establishing cyber incident response teams (CIRT) can ensure that ports have trained professionals ready to mitigate and recover from cyberattacks swiftly.

Sixth, regular cyber drills and crisis simulations should be conducted to test response plans. This ensures that when an attack occurs, the damage is minimized, and recovery is swift.

Seventh, international collaboration to deal with these threats is essential. Governments, port authorities, and private stakeholders should work together to share intelligence, standardize security protocols, and invest in collective defense mechanisms.

Public-private partnerships can play a key role in funding advanced cybersecurity infrastructure, while international regulatory bodies like the IMO must enforce stricter cybersecurity mandates across the industry. Finally, as ports transition into smart ports, powered by the internet of things (IoT), AI, and automation, cybersecurity should be at the forefront of maritime security strategies. Emerging technologies like quantum computing and zero trust architecture will play a crucial role in strengthening digital defenses, but ports should remain vigilant. The very technologies designed to enhance security could also introduce new vulnerabilities if not properly managed.

Cybersecurity is no longer just a technical issue; it is a fundamental pillar of modern port management. If cybersecurity continues to be treated as an afterthought, the next major cyberattack could bring global trade to a standstill. Ports are the lifelines of the world economy, and securing them is not just about protecting data, it is about safeguarding the stability of international commerce and national security.

Maryyum Masood is working as a Research Officer & Associate Editor at the Center for International Strategic Studies (CISS) Islamabad. She is an MPhil scholar in the Department of Strategic Studies at the National Defense University (NDU) Islamabad.

Rizwana Abbasi is an Associate Professor of Security Studies at the National University of Modern Languages, Islamabad, a non-resident Fellow of the Center for International Strategic Studies (CISS), Islamabad, and a Visiting Fellow at the Central European University of Austria.

Cybersecurity Framework for Maritime Port Management was originally published on Global Security Review.

The recent surge in OSINT intake is driven by the exponential growth of digital information, the proliferation of social media, and the increasing availability of online data. These factors have expanded the volume and variety of accessible information, enabling intelligence agencies to glean valuable insights from a vast array of sources, ranging from news articles and social media posts to academic publications and government reports. However, this influx of data necessitates advanced tools and techniques to manage, analyze, and extract actionable intelligence efficiently.

Artificial Intelligence (AI) and Machine Learning (ML) applications are being implemented across the American intelligence community to enhance capabilities, resulting in a significant increase in OSINT intake. Managing this surge requires leveraging advanced technology, enhancing analytical capabilities, and ensuring efficient collaboration. AI and ML algorithms automate data collection, filtering, and initial analysis. The development of natural language processing (NLP) tools to process large volumes of text data in multiple languages will mature over time with appropriate investment. Additional investment in scalable big data platforms that can handle OSINT data will be critical, utilizing cloud-based solutions for storage and processing to ensure scalability and flexibility.

Human capital enhancement is crucial for any strategic intelligence strategy. There must be an increased focus on recruiting and developing specialized training for intelligence analysts in OSINT techniques, tools, and methodologies. Continuous education programs will keep analysts updated on the latest technologies and trends. Expanding hiring efforts to identify experts in data science, cybersecurity, linguistics, and regional studies will increase the talent pool capable of enhancing the analytical capabilities of the intelligence community. By fostering an environment that promotes continuous learning and expertise in emerging technologies, the intelligence community can stay ahead of adversaries and ensure that their analysts have the necessary skills to leverage advanced tools effectively.

Interagency collaboration within the American intelligence community and with trusted allies is vital. Creating joint OSINT task forces involving multiple agencies fosters collaboration and information sharing, leveraging unique capabilities and expertise. Developing standardized protocols and best practices for OSINT collection and analysis enhances situational awareness and reduces duplication of efforts.

By establishing clear lines of communication and cooperation, intelligence agencies can ensure a more unified approach to addressing emerging threats and challenges. This collaboration also extends to international partners, creating a robust intelligence-sharing network that provides a broader perspective and pools resources to counteract the strategic moves of adversaries.

From a strategic perspective, developing secure and user-friendly platforms for sharing OSINT findings across different agencies is essential. Implementing interoperable systems for seamless data exchange, supported by comprehensive policies and guidelines aligned with legal mandates, builds trust between agencies and the public. Ensuring the security and integrity of data and communication channels is paramount, as it protects classified information from cyber intrusions and ensures the resilience of supply chains and critical infrastructure against cyber threats. Enhanced cybersecurity measures are essential for maintaining the trust and operational effectiveness of intelligence operations.

Reversing concerns about the expanding influence of the technology industry is necessary for the defense industry and intelligence community to embrace a collaborative environment that encourages growth, innovation, and trust. The technology industry already has expertise in these domains, which can be leveraged for public-private partnerships to access cutting-edge innovations. By fostering partnerships, the intelligence community can benefit from rapid advancements in technology and stay ahead of emerging threats. Collaboration with the technology industry also provides access to a pool of highly skilled professionals who can contribute to enhancing the capabilities of intelligence agencies.

The intelligence community must embrace public-private partnerships to foster a collaborative environment that encourages innovation. Establishing feedback mechanisms, conducting regular reviews, and setting up innovation labs within intelligence agencies ensures they stay ahead of emerging threats. Feedback mechanisms can include regular debriefings, user surveys, and performance metrics to assess the effectiveness of OSINT strategies. Review processes might involve periodic audits, peer reviews, and after-action reports to identify gaps and areas for improvement. Innovation labs can foster a culture of experimentation and rapid prototyping of new technologies and methodologies. By creating a space for testing and developing new ideas, innovation labs can drive significant advancements in intelligence operations and ensure that agencies are equipped to handle evolving threats.

Continuous improvement and adaptation will be key to maintaining a competitive edge in a dynamic and ever-changing global threat landscape. Establishing feedback mechanisms to continually assess the effectiveness of OSINT strategies and make necessary adjustments is essential. Conducting regular reviews and audits to identify gaps and areas for improvement will ensure that the intelligence community remains agile and responsive to emerging threats and challenges. Enhancing all-source analytical techniques for integrating OSINT with other intelligence sources (HUMINT, SIGINT, etc.) will provide a comprehensive view of the intelligence landscape, bridging the knowledge and awareness gaps that often plague the intelligence community.

To further support these advancements, the intelligence community must also embrace public-private partnerships to leverage the technology industry’s expertise and foster a collaborative environment that encourages innovation. Establishing feedback mechanisms, conducting regular reviews, and setting up innovation labs within intelligence agencies will ensure they stay ahead of emerging threats and challenges. By fostering a culture of experimentation and rapid prototyping, innovation labs can drive significant advancements in intelligence operations and ensure that agencies are equipped to handle evolving threats.

Managing the surge in OSINT requires a holistic approach that combines technological innovation, enhanced human capital, effective interagency collaboration, and robust policy frameworks. By adopting these strategies, the intelligence community can maintain its edge in an increasingly complex and dynamic world.

Joshua Thibert is a Senior Analyst at the National Institute for Deterrence Studies (NIDS). With nearly 30 years of comprehensive expertise, his background encompasses roles as a former counterintelligence special agent within the Department of Defense and as a practitioner in compliance, security, and risk management in the private sector. Views expressed are his own. 

AI Overload: Navigating the US Intelligence Community’s Data Deluge was originally published on Global Security Review.

Integrating AI/ML into low-observable technology presents a promising avenue for enhancing stealth capabilities, but it also comes with its own set of challenges. ML algorithms rely on large volumes of high-quality data for training and validation. Acquiring such data for low-observable technology is challenging due to the classified nature of military operations and the limited availability of real-world stealth measurements.

ML algorithms analyze vast amounts of radar data to identify patterns and anomalies that were previously undetectable. This includes the ability to track stealth aircraft and missiles with greater accuracy and speed. These advancements have significant implications for deterrence strategies as traditional stealth technology may diminish in its effectiveness as AI/ML-powered radar becomes more sophisticated, potentially undermining the deterrent value of stealth aircraft and missiles.

Stealth technology remains a cornerstone of deterrence, allowing military assets to operate relatively undetected. Radar, on the other hand, is the primary tool for detecting and tracking these assets. However, AI/ML are propelling both technologies into new frontiers. AI algorithms can now design and optimize stealth configurations that were previously impossible. This includes the development of adaptive camouflage that dynamically responds to changing environments, making detection even more challenging.

Furthermore, stealth technology encompasses a multitude of intricately designed principles and trade-offs, including radar cross-section (RCS) reduction, infrared signature management, and reduction of acoustic variables. Developing ML algorithms capable of comprehensively modeling and optimizing these complex interactions poses a significant challenge. Moreover, translating theoretical stealth concepts into practical design solutions that can be effectively learned by ML models requires specialized domain knowledge and expertise.

As ML-based stealth design techniques become more prevalent, adversaries may employ adversarial ML strategies to exploit vulnerabilities and circumvent the defenses afforded to stealth aircraft. Adversarial attacks involve deliberately perturbing input data to deceive ML models and undermine their performance. Mitigating these threats requires the development of robust countermeasures and adversarial training techniques to enhance the resilience of ML-based stealth systems.

Additional complexities are inherent in the fact that ML algorithms often operate as “black boxes,” making it challenging to interpret their decision-making processes and understand the underlying rationale behind their predictions. In the context of stealth technology, where design decisions have significant operational implications, the lack of interpretability and explainability poses a barrier to trust and acceptance. Ensuring transparency and interpretability in ML-based stealth design methodologies is essential for fostering confidence among stakeholders and facilitating informed decision-making.

Implementing ML algorithms for stealth optimization involves computationally intensive tasks, including data preprocessing, model training, and simulation-based optimization. As low-observable technology evolves to encompass increasingly sophisticated designs and multi-domain considerations, the computational demands of ML-based approaches may escalate exponentially. Balancing computational efficiency with modeling accuracy and scalability is essential for practical deployment in real-world military applications.

Integrating AI and ML into military systems raises complex regulatory and ethical considerations, particularly regarding autonomy, accountability, and compliance with international laws and conventions. Ensuring that ML-based stealth technologies adhere to ethical principles, respect human rights, and comply with legal frameworks governing armed conflict is paramount. Moreover, establishing transparent governance mechanisms and robust oversight frameworks is essential to addressing concerns related to the responsible use of AI in military applications.

Addressing these challenges requires a concerted interdisciplinary effort, bringing together expertise from diverse fields such as aerospace engineering, computer science, data science, and ethics. By overcoming these obstacles, AI/ML has the potential to revolutionize low-observable technology, enhancing the stealth capabilities of military aircraft and ensuring their effectiveness in an increasingly contested operational environment. On the other hand, AI/ML has the potential to significantly impact radar technology, posing challenges to conventional low-observable and stealth aircraft designs in the future.

AI/ML algorithms can enhance radar signal processing capabilities by improving target detection, tracking, and classification in cluttered environments. Analyzing complex radar returns and discerning subtle patterns indicative of stealth aircraft, these algorithms can mitigate the challenges posed by low-observable technology, making it more difficult for stealth aircraft to evade detection.

ML algorithms can optimize radar waveforms in real time based on environmental conditions, target characteristics, and mission objectives. Dynamically adjusting waveform parameters such as frequency, amplitude, and modulation, radar systems can exploit vulnerabilities in stealth designs—increasing the probability of detection. This adaptive approach enhances radar performance against evolving threats, including stealth aircraft with sophisticated countermeasures.

Cognitive radar systems leverage AI/ML techniques to autonomously adapt their operation and behavior in response to changing operational environments. These systems learn from past experiences, anticipate future scenarios, and optimize radar performance adaptively. Continuously evolving their tactics and strategies, cognitive radar systems can outmaneuver stealth aircraft and exploit weaknesses in their low-observable characteristics.

AI/ML facilitates the coordination and synchronization of multi-static and distributed radar networks, comprising diverse sensors deployed across different platforms and locations. By fusing information from multiple radar sources and exploiting the principles of spatial diversity, these networks can enhance target detection and localization capabilities. This collaborative approach enables radar systems to overcome the limitations of individual sensors and effectively detect stealth aircraft operating in contested environments.

ML techniques can be employed to develop countermeasures against stealth technology by identifying vulnerabilities and crafting effective detection strategies. By generating adversarial examples and training radar systems to recognize subtle cues indicative of stealth aircraft, researchers can develop robust detection algorithms capable of outperforming traditional radar techniques. ML provides a proactive defense mechanism against stealth threats, potentially rendering conventional low-observable technology obsolete.

AI and ML enable the construction of data-driven models and simulations that accurately capture the electromagnetic signatures and propagation phenomena associated with stealth aircraft. By leveraging large datasets comprising radar measurements, electromagnetic simulations, and physical modeling, researchers can develop comprehensive models of stealth characteristics and devise innovative counter-detection strategies. These data-driven approaches provide valuable insights into the vulnerabilities of stealth technology and inform the design of more effective radar systems.

In the quest for technological superiority in modern warfare, the integration of AI and ML into radar technology holds significant promise with the potential to challenge conventional low-observable and stealth aircraft designs by enhancing radar-detection capabilities. AI and ML algorithms improve radar signal processing, optimize radar waveforms in real time, and enable radar systems to autonomously adapt their operation. By leveraging multi-static and distributed radar networks and employing adversarial ML techniques, researchers can develop robust detection algorithms capable of outperforming traditional radar systems. Moreover, data-driven modeling and simulation provide insights into the vulnerabilities of stealth technology, informing the design of more effective radar systems.

The rapid advancement of AI/ML is revolutionizing both stealth and radar technologies, with profound implications for deterrence strategies. Traditionally, deterrence has relied on the balance of power and the credible threat of retaliation. However, the integration of AI/ML into these technologies is fundamentally altering the dynamics of detection, evasion, and response, thereby challenging the established tenets of deterrence. Of further concern is the consideration that non-stealth assets become increasingly vulnerable to detection and targeting as ML-powered radar systems become more prevalent. This could lead to a greater reliance on stealth technology, further accelerating the arms race.

This rapid development of AI/ML-powered technologies could destabilize the existing balance of power, leading to heightened tensions and miscalculations. The changing technological landscape may necessitate the development of new deterrence strategies that incorporate AI and ML. This could include a greater emphasis on cyber warfare and the development of counter-AI and counter-ML capabilities.

The integration of AI/ML into stealth and radar technologies will be a game-changer for deterrence. To maintain stability and prevent conflict, policymakers and military strategists must adapt to this new reality of a continuous arms race, wherein both offensive and defensive capabilities are constantly evolving in pursuit of technological superiority. Continued investment in AI/ML research is essential to stay ahead of the curve and maintain a credible deterrent posture. International cooperation on the development and use of AI/ML technologies in military applications is crucial to limit the scope of a potential arms race that regularly shifts the balance of power and destabilizes global security.

Joshua Thibert is a Contributing Senior Analyst at the National Institute for Deterrence Studies (NIDS) and doctoral candidate at Missouri State University. His extensive academic and practitioner experience spans strategic intelligence, multiple domains within defense and strategic studies, and critical infrastructure protection. The views expressed in this article are the author’s own

The Double-edged Sword of Artificial Intelligence was originally published on Global Security Review.