Public-source research
Vendor evidence
Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.
Research library coverageCounts describe the research workflow, not vendor quality or product effectiveness.View details
Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6
Token Security claims lifecycle governance for AI agents with continuous discovery, ownership, intent, access, policy, compliance validation, audit trails, behavioral monitoring, and automated remediation from creation through retirement.
Token Security unifies Visibility, Control, and Governance into a single platform purpose-built for AI agents and non-human identities.
Related framework references (5)
Token Security product materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
Token Security product materials reviewed did not establish model artifact scanning, provenance, signing, dependency or Model Context Protocol (MCP) component analysis, tamper detection, or model-registry release controls.
No quoted source text is recorded for this claim.
Related framework references (5)
Token Security claims behavioral monitoring, suspicious-activity alerting, runtime constraints, intent-based permission enforcement, dynamic risk response, and automated remediation for AI agents and their identities.
Automatically enforce least privilege as agent behavior and intent evolve.
Related framework references (5)
Token Security claims discovery and lifecycle control for agent identities, owners, intent, credentials, tokens, roles, permissions, access paths, behavioral baselines, access reviews, least-privilege enforcement, remediation, and deprovisioning.
Token Security helps teams manage the full AI agent identity lifecycle.
Related framework references (5)
Token Security claims discovery and governance of coding agents, custom GPTs, Model Context Protocol (MCP) servers, cloud and software as a service (SaaS) access, credentials, permissions, owners, intent, activity, and least-privilege boundaries.
Token automatically discovers and inventories every AI agent, custom GPT, coding agent, MCP server, and non-human identity.
Related framework references (5)
Token Security product materials reviewed did not provide a public product claim for AI usage-cost attribution, token or spend metrics, budgets, chargeback, or cost-aware model routing.
No quoted source text is recorded for this claim.
Related framework references (5)
Token Security claims visibility, control, and governance for every AI agent in the environment.
Token Security delivers visibility, control, and governance of every AI Agent in your environment, so you can move faster and stay secure.
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
Token Security claims governance of AI agents from creation through retirement, enforcing ownership, intent, access, and governance over time.
Agents fail over time, not just at creation. Token enforces ownership, intent, access, and governance from an AI agent's creation through retirement.
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
Token Security claims AI-agent access control, right-sizing, least privilege, intent-aware enforcement, and automated remediation.
Token applies intent-aware least-privilege to agents, ensuring they have only the permissions needed for their purpose, and only for the time required.
Related framework references (5)
Token Security claims identity intelligence correlates AI agents, humans, secrets, permissions, and data to reveal blast radius and enable remediation.
AI agents, humans, secrets, permissions, and data
Related framework references (5)
Token Security claims it logs every AI-agent action across ecosystems for compliance and incident investigation.
Log every AI agent action across ecosystems, ensuring compliance and rapid incident investigation
Related framework references (5)
Token Security claims monitoring and auditing of AI agent actions to maintain compliance in multi-agent ecosystems.
Traceability in a Multi-Agent Ecosystem Monitor and audit AI agent actions to maintain compliance
Related framework references (5)
Token Security claims teams can manage the full AI agent identity lifecycle, enforce ownership, and decommission orphaned identities.
Token Security helps teams manage the full AI agent identity lifecycle
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (2)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)