Understand Emerging Risks

Emerging risks are risks that are new, evolving, or not yet fully understood, from AI agents and agentic systems to AI-powered cyber threats, novel climate perils, and shifting geopolitical and technology landscapes. Dynamic intelligence’s inference-driven models are built to identify, assess, and monitor these risks. This page outlines the main categories of emerging risks that Dynamic intelligence covers and how they are addressed across the platform.

Emerging Risks Dynamic intelligence Covers

Dynamic intelligence provides forward-looking risk intelligence across the following emerging risk categories:

• •AI agent risks: Risks arising from autonomous or semi-autonomous AI agents, goal misalignment, unintended actions, cascading failures, and loss of human oversight. Dynamic intelligence’s Technology Tenet-0 and agentic risk frameworks assess how AI agents are configured, how they interact with systems and data, and where failure modes or misuse could occur.
• •Agentic system risk: Risks from systems that can perceive, plan, and act with limited human intervention, including multi-agent coordination failures, drift from intended behavior, and dependency on model providers. Dynamic intelligence evaluates agentic system design, guardrails, and integration points to surface exposure before incidents occur.
• •AI-powered cybersecurity risks: Threats where AI is used to automate attacks, evade detection, or scale exploitation, from AI-driven phishing and vulnerability discovery to adversarial manipulation of AI systems. Technology Tenet-0 identifies AI-native attack patterns and technology-stack vulnerabilities that traditional security tools miss.
• •Climate and physical emerging perils: Novel or intensifying climate hazards, compound events, secondary perils, and perils with limited historical data. Lucid Climate-0 and NatCat Lighthouse-0 reason about emerging physical and catastrophe risks rather than relying only on historical loss data.
• •Geopolitical and macro emerging risks: Rapidly evolving state and non-state threats, sanctions, conflict escalation, and supply-chain disruption. Geopolitics Axiom-0 provides inference-driven geopolitical risk intelligence that adapts as conditions change.
• •Technology and dependency risks: Risks from rapid technology change, vendor lock-in, supply-chain exposure, and obsolescence. Technology Tenet-0 assesses technology stacks, dependencies, and innovation dynamics that create emerging risk.
• •ESG and regulatory emerging risks: New sustainability and policy requirements, evolving disclosure standards, and regulatory shifts. Policy Evergreen-0 and Evergreen-0 monitor regulatory and ESG developments to support forward-looking compliance and risk assessment.
• •Compound and systemic emerging risks: Situations where multiple risks interact or cascade, e.g. climate and geopolitical stress, or technology failure during a crisis. Dynamic intelligence Hub coordinates multiple models to assess compounding and system-level emerging risk.
• •Model and AI governance risks: Risks related to AI model failure, drift, bias, and governance gaps. Dynamic intelligence’s Technology Tenet-0 and agentic risk capabilities help institutions assess and govern AI and model risk as an emerging risk category.

How Dynamic intelligence Covers Emerging Risks

Dynamic intelligence does not rely on historical data alone to assess emerging risks. Instead, the platform uses inference-driven small risk language models and Dynamic intelligence Hub to:

• Reason about underlying processes (climate dynamics, conflict drivers, technology evolution) so that novel scenarios can be evaluated even without long loss histories.
• Coordinate multiple risk dimensions, climate, NatCat, geopolitical, technology, ESG, so that compound and systemic emerging risks are visible in one place.
• Produce explainable, forward-looking assessments that support underwriting, capital allocation, stress testing, and governance rather than black-box scores.
• Update continuously as new information becomes available, so emerging risk views stay relevant as threats evolve.

Why It Matters

Organizations that treat emerging risks as a distinct category, and use inference-driven intelligence to identify and assess them, are better positioned to anticipate AI agent risk, agentic system failure, AI-powered cyber threats, novel climate perils, and geopolitical and technology shifts. Dynamic intelligence’s list of emerging risks and model coverage is designed to support that capability end to end.