ASAI Security ResearchIndependent public-source research
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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.

Research library coverageCounts describe the research workflow, not vendor quality or product effectiveness.View details
Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6

Showing 1–19 of 19 evidence records

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Iterate.ai AgentWatchAI governance, risk, and complianceSource checkedStrong public support for this requirement

Iterate.ai claims centralized policy, observability, compliance controls, audit trails, data classification, retention, cost governance, and usage visibility across employees, applications, business agents, coding agents, models, and providers.

Monitor and govern models and agents with policy enforcement, audit trails, and cost controls.
Iterate.ai AgentWatchAI assurance and adversarial testingNo supporting claim found

Iterate.ai AgentWatch and AgentOne materials reviewed did not provide a public 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.
Iterate.ai AgentWatchAI model and supply-chain securitySource checkedLimited public support for this requirement

Iterate.ai claims repository indexing and code analysis for Model Context Protocol (MCP)-connected workflows with optional Semgrep and Trivy security scanning, dependency management, and Model Context Protocol (MCP) server installation and configuration controls.

Integrated MCP server for repository indexing and code analysis (Tree-sitter), plus optional security scanning (Semgrep, Trivy).
Iterate.ai AgentWatchAI gateway, tool-connection, and runtime controlsSource checkedStrong public support for this requirement

AgentWatch claims a centralized OpenAI-compatible gateway with multi-provider routing, data loss prevention (DLP), prompt screening, guardrails, blocking, authentication, role-based access, encrypted secrets, audit logs, budgets, caching, failover, and real-time policy enforcement.

One gateway. One policy layer. One source of truth.
Iterate.ai AgentWatchAI agent identity and permissionsSource checkedLimited public support for this requirement

AgentWatch claims JWT authentication, role-based access control, organization and team hierarchies, encrypted application programming interface (API)-key management, user and device attribution, correlated request logs, and policy status across business and coding agents.

Built-In Enterprise Security: encrypted API keys at rest, JWT authentication and role-based access control, comprehensive audit logging for every operation.
Iterate.ai AgentWatchAI coding-agent and workstation securitySource checkedStrong public support for this requirement

Iterate.ai claims a private coding-agent environment with code privacy, security review, activity audit, human approval for file changes, Git checkpoints, diff review, repository indexing, Semgrep and Trivy scanning, dependency management, and Model Context Protocol (MCP) server controls.

The platform prevents proprietary source code exposure, provides governance for AI-generated code, tracks all AI development activity for audit purposes, and enables security teams to review generated code before deployment.
Iterate.ai AgentWatchUnapproved AI use discoverySource checkedStrong public support for this requirement

Iterate.ai claims AgentWatch helps enterprises discover shadow AI and govern AI interactions across employees, apps, agents, and large language model (LLM) providers.

AgentWatch helps enterprises discover shadow AI, protect sensitive data, and govern every AI interaction across employees, apps, agents, and LLM providers.
Iterate.ai AgentWatchAI-feature discovery in business applicationsNo supporting claim found

Iterate.ai materials reviewed did not provide a public claim for software as a service (SaaS) AI inventory, embedded software as a service (SaaS) AI feature discovery, or third-party AI service provider monitoring.

No quoted source text is recorded for this claim.
Iterate.ai AgentWatchApproved AI usage monitoringSource checkedStrong public support for this requirement

Iterate.ai claims AgentWatch centralizes large language model (LLM) traffic so enterprises can monitor, secure, govern, and analyze AI streams in real time.

All LLM traffic flows through one endpoint—so you can monitor, secure, govern, and analyze every stream in real time.
Iterate.ai AgentWatchControls for unapproved AI useSource checkedStrong public support for this requirement

Iterate.ai claims AgentWatch can enforce AI governance policy outcomes with block, warn, or allow actions and evidence trails.

Block, warn, or allow with full evidence trails
Iterate.ai AgentWatchSensitive-data protection for generative AISource checkedStrong public support for this requirement

Iterate.ai claims AgentWatch includes sensitive-data protection through built-in data loss prevention (DLP) scanning.

Sensitive-data protection with built-in DLP scanning
Iterate.ai AgentWatchBrowser and business-application controlsSource checkedLimited public support for this requirement

Iterate.ai claims AgentWatch can enforce policy before VPN or company system access as part of endpoint-aware shadow-AI discovery.

Enforce policy before access through VPN or other company systems
Iterate.ai AgentWatchGenerative AI application securitySource checkedLimited public support for this requirement

Iterate.ai claims AgentWatch provides configurable guardrails and policy modes for AI application traffic.

Configurable guardrails and policy modes aligned to common frameworks
Iterate.ai AgentWatchAction-taking agent monitoringSource checkedStrong public support for this requirement

Iterate.ai claims AgentWatch provides visibility into activity between business and coding agents and large language models (LLMs).

Visibility into activity between business/coding agents and LLMs
Iterate.ai AgentWatchAgent-to-agent communication securitySource checkedRelated public context only

Iterate.ai claims AgentWatch includes an integrated Model Context Protocol (MCP) server for repository indexing, code analysis, and optional security scanning.

Integrated MCP server for repository indexing and code analysis (Tree-sitter), plus optional security scanning (Semgrep, Trivy).
Iterate.ai AgentWatchNon-human identity and service-account securityNo supporting claim found

Iterate.ai materials reviewed did not provide a public claim for AI-agent identity inventory, service-account ownership, scoped credentials, secrets rotation, least privilege, or non-human identity (NHI) lifecycle management.

No quoted source text is recorded for this claim.
Iterate.ai AgentWatchAI cost and usage controlsSource checkedStrong public support for this requirement

Iterate.ai claims AgentWatch provides token-level usage tracking, budgets, and chargeback reporting for AI cost governance.

Cost governance with token-level tracking, budgets, and chargeback reporting
Iterate.ai AgentWatchApproved AI platform contextSource checkedStrong public support for this requirement

Iterate.ai positions itself as a private enterprise AI platform for assistants and agents across cloud, on-premises, and edge deployments.

Secure, private AI assistants and agents for cloud, on-prem, and edge.