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
Island claims unified visibility, governance, data protection, policy, audit, human oversight, usage analytics, and return on investment (ROI) reporting across browser, desktop, extension, network, embedded AI, and governed agents.
Every AI interaction across the organization is visible, governed, and protected from the start.
Related framework references (5)
Island AI Services materials reviewed did not provide a public customer-facing 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)
Island AI Services 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)
Island claims one policy engine across AI browser, desktop, extensions, network, prompts, outputs, agents, and more than 500 governed Model Context Protocol (MCP) integrations with prompt-injection mitigation and human checkpoints.
MCP Gateway with governed access to 500+ integrations.
Related framework references (5)
Island claims governed agents with defined workflows, scoped permissions, enterprise identity and policy inheritance, human-in-the-loop controls, and complete auditability.
Build, run, and share AI agents with full oversight, scoped permissions, and complete auditability.
Related framework references (5)
Island claims browser, desktop, extension, network, data loss prevention (DLP), and AI policy controls that protect proprietary source code and govern AI applications, locally running agents, outputs, and developer data movement.
Sensitive data is safeguarded before it ever reaches an AI provider, and AI responses are protected before they reach the user.
Related framework references (5)
Island claims it can see and govern all user actions involving AI, including unknown shadow AI tools.
Island can see and govern all user actions involving AI, including with unknown shadow AI tools.
Related framework references (5)
Island claims it captures which AI applications and large language models (LLMs) employees access and what data moves in and out of AI tools.
Island captures AI usage that other tools can't see, whether it happens in the browser or via desktop apps, whether the user is using corporate or personal accounts, and whether an AI app is accessing internal tools.
Related framework references (5)
Island claims AI Protect gives visibility and control across browser, desktop, extensions, and network.
AI Protect See, control, and protect all AI usage across the browser, desktop, extensions, and network.
Related framework references (5)
Island claims data boundaries and data loss prevention (DLP) can prevent corporate data from being entered into unapproved AI apps and services.
Using data boundaries and data loss prevention, Island can ensure your corporate data doesn’t get inputted into unsanctioned AI apps and services.
Related framework references (5)
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.
Related framework references (5)
Island claims the Enterprise Browser governs access, stops data leakage, and shows behavior across software as a service (SaaS) and web apps.
With The Enterprise Browser, organizations govern access, stop data leakage, and see all behavior across all SaaS and web apps.
Related framework references (5)
Island claims browser-level controls combat prompt injection and risky extensions.
Browser-level controls combat prompt injection and risky extensions.
Related framework references (5)
Island claims detailed audit logs of prompts, responses, and agent activity.
Island distinguishes corporate and personal tenants, enforces data boundaries before data reaches AI providers and captures detailed audit logs of prompts, responses, and agent activity.
Related framework references (5)
Island materials reviewed did not provide a public claim for agent-to-agent (A2A), inter-agent communication control, agent trust graphs, mutual TLS (mTLS), or inter-agent authorization.
No quoted source text is recorded for this claim.
Related framework references (5)
Island materials reviewed did not provide a public claim for non-human identity (NHI) ownership, service-account lifecycle, credential rotation, scoped credentials, or least-privilege governance.
No quoted source text is recorded for this claim.
Related framework references (5)
Island claims model routing, usage tracking, redundant-tool elimination, and cost-structure controls for AI.
Control spend, maximize ROI. Route the right models to the right users based on task and role. Eliminate redundant tools, track usage, and keep your cost structure in check without slowing your teams down.
Related framework references (5)
Island materials reviewed did not provide a public per-user, per-seat, platform, usage-based, or enterprise pricing model.
No quoted source text is recorded for this claim.
Related framework references (2)
Island claims it can embed any AI provider into user workflows enriched by approved enterprise context.
Embed any AI provider into any user workflow, enriched by the enterprise context you approve.
Related framework references (5)