The New Manipulation
Coordinated Inauthentic Behaviour in the Age of AI — and why every leader needs to understand it.
The term 'coordinated inauthentic behaviour' (CIB) was introduced to describe networks of fake accounts working in concert to manipulate public discourse — not through hacking, but through deception about origin and intent. It became the gold standard framework for describing influence operations online. Now, with the rapid proliferation of large language models and generative AI tools, the threat has entered an entirely new dimension. At Stratusight, we believe the intersection of CIB and AI represents one of the most consequential shifts in the information environment of the last decade.
WHAT IS COORDINATED INAUTHENTIC BEHAVIOUR?
CIB refers to the use of fake or deceptive accounts, pages, or groups that work together to artificially amplify content, manufacture consensus, or obscure the true origins of a campaign. The 'inauthentic' part is critical: it's not about the content being false per se — it's about who is pretending to say it and why. Classic CIB operations relied on armies of human operators or simple bots running scripts to flood social platforms with coordinated messaging. The barrier to entry was labour-intensive and detectable through metadata analysis, timing clusters, and linguistic fingerprinting.
"The barrier to running a sophisticated influence operation used to be labour. AI has removed that barrier almost entirely."
WHY AI CHANGES THE THREAT CALCULUS
Large language models can generate unlimited volumes of contextually appropriate, linguistically diverse content at near-zero cost. What once required hundreds of operators now requires one prompt and an API key. Detection methods built for bot-era CIB are not equipped for LLM-era CIB — the signatures are fundamentally different.
WHY THIS MATTERS FOR CANADIAN ORGANIZATIONS
This isn't only a geopolitical problem — it's an organizational one. Canadian businesses, public sector institutions, and leaders operating in politically sensitive sectors are increasingly targets of coordinated influence activity. Procurement decisions, policy consultations, public trust in institutions, and even internal corporate narratives can be shaped by actors who are never in the room.
WHAT ANALYSTS, LEADERS AND POLICYMAKERS NEED TO DO
Analysts need new detection frameworks built for AI-generated content, not bot-era signatures. The linguistic tells are different. The volume is different. The approach must be different.
Platforms require updated policy infrastructure that can move at the speed of generative AI deployment — which is to say, fast.
Policymakers must engage with the threat before the next election cycle, infrastructure decision, or public consultation — not after.
Organizational leaders in both public and private sectors need threat literacy — understanding how these operations work is the first line of defence.
THE STRATUSIGHT POSITION
Intelligence-informed leadership means understanding not just what information is coming in — but whether it can be trusted, and where it actually originates. In a world where influence operations are industrialized by AI, that discernment is a core leadership capability.
This post is part of our ongoing work at the intersection of AI, decision intelligence, and organizational security. Stratusight works with Canadian leaders navigating complex information environments where the stakes are high and the signals are noisy.
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