Narrative Attacks: Amplified by Agents
Disinformation narrative intelligence is an emerging discipline that examines how weaponized information forms, spreads, and causes societal harm.
Coordinated narrative attacks destabilize elections, erode public trust in institutions, and give nation-state actors a low-cost, scalable weapon. Agentic AI has accelerated the problem. Autonomous systems can now plan, generate, and iterate platform manipulation with minimal human oversight, manufacturing viral crises from fabricated content faster than governments, organizations, companies, or leaders can respond.
Disinformation narrative intelligence focuses on understanding these threats. It combines network analysis, manipulation detection, threat actor attribution, and influence measurement to map how harmful narratives form, the cohorts driving them, and how they spread across platforms. The core work is determining whether amplification is organic or engineered, identifying the actors behind coordinated campaigns, and assessing narrative risk before they cause real-world harm. The field is evolving fast, shaped by agentic AI by attackers and defenders.