Artificial intelligence (AI) holds immense promise for modern warfare, offering the potential to transform military operations and enhance decision advantage on the battlefield. From sophisticated intelligence analysis to optimizing logistics, the United States Marine Corps (USMC) recognizes AI as a transformative technology. AI offers extensive operational benefits, but like any powerful tool, its implementation also introduces new vulnerabilities and expands the attack surface that adversaries can exploit.

The New Threat Landscape: When AI Becomes a Target

Adversaries are not idle in the face of AI advancements. They are increasingly utilizing AI to automate attacks, enhance phishing and social engineering tactics, and develop malware that can adapt and evade traditional detection methods. For the USMC, this means anticipating that “[adversaries will attempt] to disrupt, degrade, deny, deceive, or defeat our AI systems.”

These threats can be broadly categorized into three areas:

• Adversarial AI: Refers to attacks that directly undermine the AI itself, impacting its functionality or how well it performs.
• Target Systems Analysis: Traditional attacks against the broader system or infrastructure, designed to prevent the Marine Corps from leveraging AI effectively.
• Systems Overmatch: It describes situations where a peer adversary leverages their AI to achieve superiority against friendly AI systems.

Deep Dive: Adversarial AI – Understanding the “How”

Adversarial AI is a particularly insidious threat because it targets the very features that make AI and machine learning useful: how the AI system uses data inputs to act and learn from results to improve its performance. BreakPoint Labs specializes in simulating these advanced threats to harden your AI systems.

Here are some key techniques adversaries might employ, and how BreakPoint Labs’ AI Red Teaming can expose these vulnerabilities:

• Data Poisoning: Imagine an AI system trained to identify enemy vehicles. With data poisoning, adversaries inject false information into training datasets. “Even… minor changes can cause AI systems to misclassify targets or misinterpret critical signals, directly affecting mission success.” This can degrade the model’s operational quality, jeopardize its security, or steer its outputs toward detrimental outcomes. BreakPoint Labs’ AI Red Teaming rigorously tests for these vulnerabilities, mimicking adversarial data injection to identify weaknesses in your training pipelines and model integrity.
• Prompt Injection: This involves crafting specific inputs (prompts) that manipulate a Large Language Model (LLM) into unintended or unauthorized actions, effectively hijacking its function. This can lead to sensitive data disclosure or the generation of malicious content. A significant threat, especially for Retrieval Augmented Generation (RAG) systems, is “indirect prompt injection,” where malicious instructions are hidden within external data retrieved by the AI. Our Red Teaming services include advanced prompt engineering techniques to bypass model intent and constraints, ensuring your LLMs are resilient against such attacks.
• Sensitive Information Disclosure: AI models can inadvertently leak confidential data. This could happen through training data memorization, where the model remembers sensitive information from its training phase, or through vulnerabilities in inference processes, GPU memory, or system logs. BreakPoint Labs’ Red Teaming probes for potential exposure of sensitive information or training data and tests the model’s resistance to extraction attacks.
• Malicious Content Generation: Adversaries can compel AI to “generate harmful, toxic, [or] misleading” content. This could include creating large volumes of disinformation aimed at undermining model performance or even generating unsafe code. Our experts assess model defenses against bypassing guardrails or exfiltration protections, and simulate interactions such as hate speech, toxicity, or egregious conversation detection to uncover vulnerabilities.
• Physical Perturbations: Adversaries can make minor, often imperceptible, changes to an object in the physical world that dramatically affect an AI system’s perception. This is similar to camouflage, but designed to fool machines rather than humans. BreakPoint Labs’ Red Teaming assesses how AI models react to unexpected or adversarial inputs, ensuring robustness under perturbation.

Beyond AI-Specific Attacks: The Broader Cybersecurity Context

It’s not just about direct AI attacks. Like any complex system, AI implementations rely on underlying infrastructure. An adversary can still leverage traditional cyberattack methods (Target Systems Analysis) to disrupt AI capabilities. For instance, exploiting vulnerabilities in cloud infrastructure, denying necessary data through signature management or shutting down civilian networks can cripple AI-enabled processes. BreakPoint Labs provides comprehensive system evaluation, examining system-wide vulnerabilities, supply chain vulnerabilities, deployment pipelines, and data security, integrating seamlessly with your existing cybersecurity frameworks.

The USMC’s Proactive Stance: Building a Resilient AI Force

The USMC is not only aware of these threats but is actively developing strategies to counter them. Their AI Implementation Plan is designed to mature the Service into a 21st Century fighting force that innovates and integrates AI into warfighting functions and business processes. BreakPoint Labs directly supports these initiatives by providing the crucial “Red Teaming LLMs” capabilities needed to “establish and update AI test, evaluation, validation, and verification processes.”

Key initiatives that BreakPoint Labs can help organizations mitigate these threats include:

• Expanding Education and Training: BreakPoint Labs offers specialized training for GenAI Red Teaming and security personnel about new threats and opportunities presented by AI and LLMs, regularly updating content to include the latest developments and threat landscapes.
• Developing Intelligence and Counterintelligence Requirements: We assist in threat modeling, considering how attackers might exploit AI applications and aligning these scenarios with your highest-priority risks.
• Establishing AI Test, Evaluation, Validation, and Verification Processes: BreakPoint Labs provides a structured blueprint for GenAI Red Teaming, defining specific steps, techniques, and objectives to rigorously test an organization’s security measures.
• Developing Operational Data Management Systems: Our Red Teaming includes assessing data risks, such as intellectual property extraction, copyright violations, PII/sensitive data recovery, and training data reconstruction.
• Incorporating Cybersecurity and Information Assurance: We emphasize a holistic approach to Red Teaming in four areas: model evaluation, implementation testing, infrastructure assessment, and runtime behavior analysis, ensuring comprehensive security throughout the AI lifecycle.

Conclusion: Securing the Future of Warfighting

The integration of AI into military operations is inevitable and necessary for maintaining a competitive edge. However, this advancement demands a robust and proactive cybersecurity posture. BreakPoint Labs focuses on understanding the unique vulnerabilities of AI systems, especially LLMs, RAG, and MCP, and implementing comprehensive threat assessment and mitigation strategies. Our goal is to empower organizations to evolve into an AI-enabled force, well-prepared to tackle future conflicts with greater readiness and effectiveness. This commitment to responsible and innovative AI use is a testament to a dedication to mission success.

By understanding the specific AI-centric threats/weaknesses and by continuously testing and hardening AI systems against these attacks, military forces and any organization leveraging AI in critical applications can ensure their AI provides a decisive edge rather than an exploitable vulnerability. In the age of autonomous systems and machine-speed warfare, securing AI is not just a technical challenge; it’s a mission imperative. A hardened AI advantage isn’t built by chance. It’s built by design. Organizations that adopt a threat-informed, resilience-focused approach to AI security today will be the ones best positioned to lead tomorrow. We’re committed to helping them succeed at BreakPoint Labs.