Cyber and information warfare operate below the threshold of conventional conflict, yet shape outcomes continuously. This sub-magazine examines how states and non-state actors contest power through networks, narratives, and digital systems.
Intelligence Briefings
Cyber operations, influence campaigns, electronic intrusion, disinformation, and digital coercion.
Why This Magazine Exists
Cyber conflict is often reduced to incidents and headlines. This sub-magazine exists to analyze campaigns, capabilities, and strategic intent, not just breaches—connecting technical actions to political and military outcomes.
What We Track
- Cyber offense and defense doctrines
- Information warfare and influence operations
- Digital command-and-control systems
- Critical network vulnerabilities
- Escalation dynamics in cyberspace
Latest Analysis & Intelligence
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Beyond Hallucinations: How Russia and Other Actors Are Weaponizing LLMs (2026 Update)
Introduction: The Battle for the AI Cognitive Layer The global race to dominate artificial intelligence has entered a far more dangerous phase. The first wave of concern centered on what Large Language Models (LLMs) could generate—fake images, malware, automated propaganda, and synthetic content. By 2026, however, the battlefield has shifted from AI outputs to the…
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The Next Generation of Malware: How Large Language Models Are Revolutionizing Cyber Threats (2026 Update)
Introduction: The Emergence of Autonomous Cyber Warfare Artificial intelligence has become one of the defining strategic technologies of the 21st century. Large Language Models (LLMs) such as OpenAI GPT-series models, Google Gemini, Anthropic Claude, Meta Llama, and rapidly advancing open-source models are transforming software engineering, automation, intelligence analysis, and defense systems. But the same generative…
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Expect the Unexpected: 2026 Strategies to Anticipate and Defeat Cyber Threats
Introduction Cybersecurity in 2026 has entered a new operating era defined by speed, automation, and strategic consequence. Threat actors now combine ransomware-as-a-service ecosystems, AI-enabled phishing, deepfake impersonation, supply-chain compromise, credential theft, and automated reconnaissance to attack organizations faster and at lower cost than ever before. What once required skilled operators and weeks of preparation can…
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Beyond the White Box: The New Frontier of Operational AI Red Teaming
Introduction: From Algorithmic Vulnerability to Battlefield Exposure The first generation of adversarial artificial intelligence research established a critical but incomplete truth: machine learning systems can be deceived. Programs such as DARPA’s Guaranteeing AI Robustness against Deception (GARD) demonstrated this convincingly through highly controlled, white-box experiments in which attackers had full visibility into model architectures, training…
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Beyond the Perimeter: Inside the DoD’s Seven-Pillar Zero Trust Strategy and the Race to 2027 (2026 Update)
Introduction: Why Zero Trust Has Become a National Security Imperative The era of perimeter-based cybersecurity is over. For decades, military and government networks relied on the assumption that users and systems inside a trusted boundary could operate freely once authenticated. That model has collapsed under the pressure of cloud migration, remote operations, coalition networking, software…
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DARPA Tackles Deepfakes: New Initiatives, Commercialization Push, and the Evolving Battle for Digital Truth (2026 Update)
Introduction: Deepfakes Move from Novelty to National Security Threat Deepfakes have shifted rapidly from internet curiosities to a strategic challenge with implications for politics, intelligence, defense, finance, and public trust. AI-generated audio, video, imagery, and text can now imitate real people with enough realism to deceive officials, manipulate markets, damage reputations, or trigger geopolitical crises.…
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Beyond GARD: How DARPA is Building Next-Generation AI Red Teaming for Battlefield Resilience
DARPA’s shift beyond GARD signals a critical evolution in how the United States conceptualizes AI security—not as a laboratory discipline, but as a combat-critical operational capability. The transition from white-box adversarial testing to real-world “hidden box” threat models reflects a recognition that AI systems are no longer experimental constructs; they are deployed assets operating in…