Securiti claims an AI model catalog that includes shadow AI.
Catalog AI models for full visibility, including 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 1–16 of 16 evidence records
Clear all filtersSecuriti claims discovery and cataloging of AI models across public cloud, private cloud, software as a service (SaaS), and internal projects.
Discover and catalog AI models in use across public clouds, private clouds, and SaaS applications.
Securiti claims collection of model details from software as a service (SaaS) and internal AI projects.
Collect AI model details from SaaS and internal projects
Securiti claims controls over enterprise use of data and AI.
Establish controls on use of data and AI.
Securiti claims mapping and monitoring of data sources, processing, risks, obligations, and data flows connected to AI models.
Map AI models to data sources, monitor data flow
Securiti AI materials reviewed did not provide a public claim for browser or software as a service (SaaS)-session controls for employee AI use.
No quoted source text is recorded for this claim.
Securiti claims controls that mitigate AI risks described by OWASP's large language model (LLM) risk categories and NIST adversarial machine-learning attacks.
Mitigate AI security risks such as OWASP top 10 issues for LLMs and NIST Adversarial Machine Learning Attacks.
Securiti claims assessments and automated compliance checks mapped to NIST AI RMF, the EU AI Act, and more than twenty regulations.
Conduct assessments to comply with standards such as NIST AI RMF, EU AI Act, and more than twenty other regulations.
Securiti AI materials reviewed did not provide a public claim for adversarial testing or release assurance for AI systems.
No quoted source text is recorded for this claim.
Securiti AI materials reviewed did not provide a public claim for model and AI component supply-chain inspection.
No quoted source text is recorded for this claim.
Securiti AI materials reviewed did not provide a public claim for inline model, agent, tool, application programming interface (API), or Model Context Protocol (MCP) policy enforcement.
No quoted source text is recorded for this claim.
Veeam and Securiti claim Agent Commander can discover shadow agents and provide visibility into data-use risk.
Bring unsanctioned agents under governance with visibility into data use risk.
Securiti AI materials reviewed did not provide a public claim for trust or policy enforcement between agents.
No quoted source text is recorded for this claim.
Securiti AI materials reviewed did not provide a public claim for non-human identity, service-account, secret, or workload credential lifecycle controls.
No quoted source text is recorded for this claim.
Securiti AI materials reviewed did not provide a public claim for agent registration, delegated authorization, task-scoped access, and revocation.
No quoted source text is recorded for this claim.
Securiti AI materials reviewed did not provide a public claim for coding-agent, integrated development environment (IDE), CLI, workstation, skill, hook, or package-action governance.
No quoted source text is recorded for this claim.