Ten agent workflows for the Cyber Team — insured cybersecurity posture assessment, threat landscape monitoring, breach probability modeling, policy pricing intelligence, pre-bind security scanning, claims trend analysis, vendor risk evaluation, ransomware exposure scoring, silent cyber identification, and cyber portfolio management.
AI agent evaluates the cybersecurity posture of cyber insurance applicants by analyzing their web presence — checking for security pages, compliance certifications, technology stack indicators, and security maturity signals.
AI agent builds breach probability models using domain intelligence as predictive features — correlating web presence characteristics with historical breach data to price cyber policies more accurately.
AI agent monitors the cybersecurity threat landscape by tracking security vendor reports, ransomware group activity, and vulnerability disclosures through domain intelligence — informing underwriting guidelines and portfolio management.
AI agent performs automated pre-bind security assessments using domain intelligence — checking SSL configurations, technology indicators, and security posture signals before issuing cyber policies.
AI agent scores ransomware exposure for each insured based on their digital profile — industry targeting likelihood, security posture indicators, and backup/recovery evidence from web presence analysis.
AI agent evaluates technology vendors used by insureds — identifying systemic risks where multiple policyholders depend on the same vendor, creating aggregation exposure in the cyber portfolio.
AI agent identifies "silent cyber" exposure in traditional insurance policies — detecting which non-cyber policies cover businesses with significant digital operations that could generate cyber-related claims.
AI agent analyzes cyber claims trends by correlating breach characteristics with insured web profiles — identifying which digital attributes predict different types of cyber losses.
AI agent provides dynamic pricing intelligence for cyber policies by monitoring competitor offerings, market rate trends, and risk-adjusted pricing signals from across the cyber insurance market.
AI agent generates comprehensive cyber portfolio analytics — combining security posture scores, aggregation risks, claims trends, and market intelligence for strategic portfolio management decisions.
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