AI Risk in M&A Target Due Diligence
Most acquirers miss AI-specific liabilities buried in models, training data, and vendor tools.
Hugo Dvorak
Section
AI Vendor Risk Analysis
13 stories in AI Vendor Risk Analysis.
Vendor AI Incident Response and Breach Notification Obligations
Enterprises can't hand off AI breach liability, even when vendors fail.
Marco Quist
AI Plugin and Connector Security Risks in Enterprise Platforms
Credentialed AI plugins create insider threats that existing security controls can't detect.
Bianca Espinoza
Vendor AI Risk in Regulated Industries
AI features bolted onto vendor software dodge traditional vetting entirely.
Hugo Dvorak
Open-Source LLM Supply Chain Risks in Enterprise Deployments
Enterprise security tools miss the four handoffs where open-source LLM compromises actually happen.
Marco Quist
Continuous Monitoring of Deployed Vendor AI Assets
Vendors deploy AI that drifts undetected, leaving enterprises exposed to silent failures.
Hugo Dvorak
AI Security Due Diligence in Vendor Contracts
Vendors change models daily while contracts assume static systems—here's how to audit them.
Selah Beck
AI Plugin and Connector Supply Chain Risks
Approving an AI model leaves hidden risks in plugins and connectors unexamined.
Marco Quist
AI-native versus adapted third-party risk platforms for LLM threat coverage
Enterprises need visibility into third-party AI risks traditional vendor platforms can't detect.
Bianca Espinoza
vendors mapping AI security tools to the OWASP LLM Top 10 framework
A shared vocabulary turns risk checklist into tool comparison grid.
Marco Quist
Third-Party Risk Management for Vendor AI Features
Enterprises need new rules to spot AI features hidden inside trusted vendor software.
Selah Beck
Vendor AI Risk Assessment Template and Questionnaire Design
Rethink vendor questionnaires to catch AI risks standard security checklists miss.
Marco Quist
Evaluating Third-Party Risk Management Software for AI Coverage
Standard vendor risk software misses AI-specific threats like prompt injection and model drift.
Marco Quist