Works with the AI stack you already use.
Connect model, voice, orchestration, evaluation, and observability systems without replacing the existing runtime-security stack.
Ollive connects live agent behavior to the rules and real-world consequences that govern it. Map every workflow to applicable regulations, industry frameworks, contracts, customer policies, emerging laws, and historical lawsuits.
Policies and annual reviews describe intent. They do not show how an agent behaved with a real customer, real data, and a live tool call. Ollive continuously connects production behavior to the obligations, controls, and loss scenarios that matter.
Most runtime platforms ask whether an agent is allowed to act. Ollive asks what the action means for the business. A blocked prompt injection is a security event. A correctly authenticated agent giving the wrong benefits answer is a liability event.
Ollive builds a living governance layer around every agent and customer deployment.
Map workflows to obligations that may apply, including HIPAA, PCI DSS, CFPB requirements, state laws, industry frameworks, and other relevant rules.
Connect agent failure modes to historical lawsuits, enforcement actions, and patterns of harm that show how similar behavior has created liability.
See upcoming laws, rule changes, and enforcement developments before they create a new gap in the governance envelope.
Track customer commitments, indemnities, service requirements, internal policies, escalation rules, and deployment-specific restrictions.
Understand how insurers, underwriters, and AI liability policies evaluate risk, exclusions, controls, and evidence required for coverage.
Regulations, frameworks, lawsuits, contracts, and customer policies — mapped to every agent, continuously.
Start with an API endpoint, staging environment, test user, or existing observability data.
Identify the agent's workflow, tools, data, customers, contracts, policies, and applicable regulatory areas.
Define acceptable behavior, escalation thresholds, required controls, and obligations that cannot be missed.
Run liability-focused scenarios before deployment and continuously after launch.
Detect drift, control gaps, new obligations, and high-risk behavior in production.
Produce findings and evidence enterprise reviewers can use.
Prompts change. Models are replaced. Tools and permissions expand. Customers introduce new policies. Contracts create new commitments. Laws and enforcement priorities move. Ollive detects when those changes alter the agent's obligations, controls, or liability exposure.
Ollive gives AI vendors clear answers before security, legal, compliance, and procurement ask: which obligations may apply, which high-risk failures were tested, what changed after deployment, which controls were operating, and what evidence can be shared.
AI Liability Insurance starts with observable risk. Ollive creates evidence around agent behavior, obligation coverage, control maturity, and changes over time. That evidence can support underwriting and help show where purpose-built financial protection may be relevant, subject to underwriting, policy terms, and available capacity.
Connect model, voice, orchestration, evaluation, and observability systems without replacing the existing runtime-security stack.
Map the obligations. Test the failures. Monitor the behavior. Prove the controls.