LatticeFlow AI materials reviewed did not provide a public claim for enterprise-wide discovery of unapproved AI use.
No quoted source text is recorded for this claim.
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Showing 1–16 of 16 evidence records
Clear all filtersLatticeFlow AI materials reviewed did not provide a public claim for embedded AI discovery across the business-application environment.
No quoted source text is recorded for this claim.
LatticeFlow AI claims continuous discovery of AI endpoints, data sources, and connected components across cloud and on-premise environments.
Continuous Discovery across your AI Ecosystem
LatticeFlow AI materials reviewed did not provide a public claim for policy enforcement over unapproved AI use.
No quoted source text is recorded for this claim.
LatticeFlow AI materials reviewed did not provide a public claim for inspection or enforcement over sensitive data moving through AI.
No quoted source text is recorded for this claim.
LatticeFlow 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.
LatticeFlow AI claims detection and monitoring of security vulnerabilities, adversarial exploits, data leakage, and other AI risks.
security vulnerabilities and adversarial exploits to hallucinations, bias, data leakage, and compliance gaps
LatticeFlow AI claims executable technical controls, continuous risk tracking, framework mappings, and audit-ready evidence.
implement executable technical controls that track AI risk continuously
LatticeFlow AI claims app-specific evaluations and adversarial testing before launch with continuous monitoring afterward.
combining app-specific evaluations and adversarial testing before launch with continuous production monitoring afterward
LatticeFlow 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.
LatticeFlow 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.
LatticeFlow AI claims evaluation of agent workflows, security controls, tool permissions, reliability, compliance risk, and multi-step behavior.
assessing security controls, tool access permissions, reliability, and compliance risk across multi-step agent behaviors
LatticeFlow 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.
LatticeFlow 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.
LatticeFlow 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.
LatticeFlow 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.