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Welcome to another _secpro!
Over the past week, the cybersecurity and artificial intelligence landscapes have continued their rapid convergence, with developments underscoring both the transformative potential of AI and the expanding threat surface it creates. Organisations across sectors are accelerating AI deployment to enhance threat detection, automate incident response, and reduce analyst workload. At the same time, adversaries are operationalising many of the same capabilities, leveraging generative models to scale phishing campaigns, craft more convincing social engineering pretexts, and accelerate malware development cycles.
Regulatory and governance pressures are also intensifying. Policymakers are signalling stricter expectations around AI transparency, model security, and data provenance, particularly where systems intersect with critical infrastructure or sensitive personal data. This is driving renewed focus on secure model pipelines, third-party risk management, and auditability of training datasets. Boards and CISOs alike are being pushed to treat AI risk not as an experimental concern but as an enterprise security priority.
Notably, the past week has highlighted the growing importance of supply chain resilience in AI ecosystems. From model repositories to open-source frameworks, dependencies are becoming prime targets for compromise, reinforcing the need for code integrity verification and continuous monitoring.
Taken together, the signal is clear: AI is no longer an emerging variable in cybersecurity strategy; it is now a central pillar on both sides of the threat equation. The organisations best positioned to navigate this shift will be those that integrate AI governance, security engineering, and workforce readiness into a unified operating model—balancing innovation with control as the pace of change continues to accelerate.
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Cheers!
Austin Miller
Editor-in-Chief
This week’s article
The 2026 Rogue’s Gallery
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In 2025, cybersecurity experts continued to track an evolving landscape of financially motivated and geopolitically aligned threat groups whose operations grew in scale, coordination, and technical sophistication. Among the most prevalent were Cl0p, known for large-scale data-extortion campaigns exploiting zero-day vulnerabilities in managed file transfer platforms, and Qilin, a ransomware-as-a-service operation that refined double-extortion and partner affiliate models.
If you’d like to find out about our series on social engineering, start here: