AI Risk Posture
View risk across AI applications, agents, models, prompts, tools, and data connections.
Token Threat Labs helps security teams understand deployed AI systems, test attack exposure, monitor agentic workflows, and move findings into owner-ready action plans.
Product modules
View risk across AI applications, agents, models, prompts, tools, and data connections.
Test for prompt injection, indirect prompt injection, prompt hijacking, and jailbreak-style behavior.
Review AI agent actions, tool access, permission boundaries, and risky execution paths.
Identify sensitive data exposure in prompts, completions, uploaded files, retrieval results, and logs.
Maintain a searchable inventory of AI systems, owners, models, vendors, and business use cases.
Find missing controls across review processes, monitoring, access policies, incident workflows, and deployment gates.
Connect with identity, ticketing, SIEM, DLP, cloud, and application security systems.
AI security workflow
Role-based views
View high-risk applications, unowned systems, unresolved controls, and assessment progress without relying on real benchmark claims.
Track owners, vendors, retrieval sources, action permissions, and review status across fictional AI systems.
Use synthetic evidence, remediation checklists, and approval states to prepare product workflows for security review.
Integrations
Connected
Connected
Pending review
Connected
Not configured
Connected
Review the AI risk areas page or request a guided demo built for enterprise security teams.
View AI Risk Coverage