Mindgard claims AI inventory risk reports that identify shadow AI and map AI infrastructure components and tool calls.
map every component of your AI infrastructure, enumerate every tool call, and identify shadow AI
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 1–19 of 19 evidence records
Clear all filtersMindgard claims continuous testing for third-party AI applications as well as internally built systems.
ensuring the security of both third-party AI applications and in-house systems
Mindgard claims discovery and inventory of AI applications, models, and agents across the enterprise environment.
Discover and inventory AI applications, models, agents, and shadow AI across your entire environment.
Mindgard materials reviewed did not provide a public claim for workforce allow, coach, restrict, or block policy over unapproved AI use.
No quoted source text is recorded for this claim.
Mindgard claims inline detection and enforcement for data leakage in AI application traffic.
inline detection and enforcement for prompt injection, data leakage, and tool abuse
Mindgard materials reviewed did not provide a public claim for browser session controls over upload, download, copy, paste, sharing, or form submission.
No quoted source text is recorded for this claim.
Mindgard claims inline runtime detection and enforcement for prompt injection, data leakage, and tool abuse.
inline detection and enforcement for prompt injection, data leakage, and tool abuse
Mindgard claims audit-ready reports and finding mappings to OWASP, MITRE, NIST, and AIUC-1.
Generate evidence, remediation guidance, and audit-ready reports mapped to OWASP, MITRE, NIST, and AIUC-1.
Mindgard claims continuous attacker-aligned security testing and automated red teaming across development, deployment, and runtime.
continuously pressure-test AI systems the same way real attackers do, across development, deployment, and runtime
Mindgard claims runtime model scanning for security vulnerabilities, safety risks, exploitable behaviors, and harmful outputs.
scans AI models for both security vulnerabilities and safety risks
Mindgard claims inline runtime enforcement with block, alert, and enrich actions for prompt injection, data leakage, and tool abuse.
configurable block/alert/enrich options
Mindgard claims inventory reports that enumerate AI tool calls and map connected AI infrastructure.
map every component of your AI infrastructure, enumerate every tool call
Mindgard materials reviewed did not provide a public claim for authenticating, authorizing, or enforcing policy over agent-to-agent communication.
No quoted source text is recorded for this claim.
Mindgard materials reviewed did not provide a public claim for workload identities, service accounts, application programming interface (API)-key discovery, secret rotation, or machine-credential lifecycle management.
No quoted source text is recorded for this claim.
Mindgard materials reviewed did not provide a public claim for agent registration, delegated authorization, short-lived credential issuance, or agent identity lifecycle controls.
No quoted source text is recorded for this claim.
Mindgard materials reviewed did not provide a public claim for enforcing coding-agent commands, filesystem or network actions, skills, hooks, extensions, packages, or workstation activity.
No quoted source text is recorded for this claim.
Mindgard materials reviewed did not provide a public claim for AI spend attribution, budgets, chargeback, rate limits, or token-cost anomaly detection.
No quoted source text is recorded for this claim.
Mindgard states that commercial pricing is tailored through its sales team.
Contact sales for tailored pricing.
Related framework references (2)
Mindgard claims integration across CI/CD, integrated development environment (IDE), SIEM, ticketing, and security testing workflows.
Integrates seamlessly across developer and security workflows, including CI/CD pipelines, IDE hooks, SIEM, and ticketing systems.