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
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.
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Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6
Showing 41–60 of 70 evidence records
Clear all filtersOperant AI claims it auto-redacts sensitive data inline across AI prompts, interactions, agents, and data-in-use within the live application stack.
Proactively block critical LLM and GenAI threats like prompt injection and data exfiltration while maintaining full data privacy and data governance with Inline Auto-Redaction of Sensitive Data.
Apex (Tenable) claims it uncovers AI-specific misconfigurations, risky integrations, and exposed services that traditional data loss prevention (DLP) and cloud access security broker (CASB) tools miss.
Uncover AI-specific misconfigurations, risky integrations, and exposed services that traditional tools like DLP and CASB miss
Elvex claims it applies guardrails, permissions, and full visibility across usage with role-based access via SSO.
Role-based access with SSO and permission controls
No public claim found for this capability.
No quoted source text is recorded for this claim.
Onyx claims self-hosted deployment, source-permission mirroring, and ACL sync to keep AI access aligned to existing data permissions.
Strict permission controls and your data never leaves your network.
CrowdStrike claims it can prevent sensitive data from being shared with users, models, agents, or external AI systems.
Prevent sensitive data from being shared with users, models, agents, or external AI systems.
HiddenLayer claims AI Guardrails can prevent data leakage as part of real-time AI behavior policy enforcement.
AI Guardrails Enforce policies that prevent prompt injection, data leakage, and unsafe AI behavior in real time.
Aurascape claims it detects sensitive information in AI tools in real time and applies contextual controls to prevent leakage or misuse.
Detect sensitive information flowing through AI tools in real time and apply contextual, intent-based controls to prevent leakage or misuse.
Cyberhaven claims prompt- and response-level guardrails block high-risk data movement.
Enforces runtime guardrails at the prompt and response level, blocking high-risk data movement, redirecting users to sanctioned tools, and coaching employees with plain-English policy explanations.
Knostic claims OpenClaw controls for secret leaks, PII exposure, inbound secrets, and file-read operations.
Blocks destructive commands Redacts secrets and API keys Prevents PII exposure Logs and flags inbound secrets Gates exec and file-read operations
Island claims complete visibility and control across every AI interaction with data protection and prompt-injection mitigation built in.
Complete visibility and control across every AI interaction, with data protection and prompt injection mitigation built in.
Aembit claims policy-based, secretless, identity-driven access between AI agents and sensitive resources across clouds, software as a service (SaaS), and on-premise environments.
Aembit enforces policy-based, secretless, identity-driven access between workloads, AI agents, and the sensitive resources they need — across clouds, SaaS, and on-premise environments.
Wiz claims AI-specific risk detection covers sensitive data exposure, guardrails, and exposed endpoints.
Identify AI-specific risks — from sensitive data exposure and guardrails to exposed endpoints.
Varonis claims it prevents sensitive data exposure via AI copilots and keeps sensitive data out of large language models (LLMs).
Varonis prevents sensitive data exposure via AI copilots like Microsoft 365 Copilot, ChatGPT Enterprise, Salesforce Agentforce, and more.
Pangea claims AI Guard scans and sanitizes prompts and uploaded files, removes malicious content, and redacts sensitive information.
AI Guard scans and sanitizes all prompts and uploaded files of malware, leaked credentials, and malicious IPs and domains, and automatically redacts sensitive information with over 75 classification rules out of the box and support for custom data classification rules.
F5 claims AI Security Platform obstructs and redacts sensitive data leakage during AI interactions.
Data privacy: Obstruct and redact sensitive data leakage during AI interactions.
Iterate.ai claims AgentWatch includes sensitive-data protection through built-in data loss prevention (DLP) scanning.
Sensitive-data protection with built-in DLP scanning
Credo AI materials reviewed did not provide a public claim for inline detection, redaction, or blocking of sensitive data in prompts, responses, files, retrieval, or memory.
No quoted source text is recorded for this claim.
Holistic AI claims privacy-leak detection and data-exposure analysis as part of continuous AI risk management.
Privacy leak detection and data exposure analysis