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
Aurascape claims unified discovery, inventory, policy, compliance, human and agent governance, audit conversations, identity and intent context, approved registries, and cross-channel data lineage for employee AI and built agents.
One platform that covers both sides of enterprise AI agent risk.
Related framework references (5)
Aurascape claims predeployment adversarial guardrail tests for prompt injection and jailbreak attempts plus code-path vulnerability checks against known CVEs.
Runs adversarial guardrail tests and code-path vulnerability checks before an agent ships.
Related framework references (5)
Aurascape claims discovery of agents and Model Context Protocol (MCP) servers, a vetted custom registry, tool-poisoning detection, approved-call signing, unsigned-call blocking, and project-configuration supply-chain protection.
Whitelist approved MCP servers and tools in a custom registry so only vetted endpoints are reachable.
Related framework references (5)
Aurascape claims an AI Proxy and Zero Bypass Model Context Protocol (MCP) Gateway that inspect prompts, responses, intent, tool calls, parameters, data exchanges, and results; sign approved calls; and block or sanitize policy violations before execution.
The Zero Bypass MCP Gateway signs approved tool calls and blocks unsigned ones.
Related framework references (5)
Aurascape claims context-aware tool policy based on user identity, account type, agent intent, entitlement, data sensitivity, OAuth roles and scopes, and approved-call signatures.
Context-aware policy on identity, intent, entitlement, and data sensitivity.
Related framework references (5)
Aurascape claims local discovery for Claude Code and Cursor, source-code and unsafe-code protections, predeployment code-path testing, Model Context Protocol (MCP) registry and signing, tool-call enforcement, and data-lineage controls from first code through runtime.
Secure every agent from first line of code through production runtime.
Related framework references (5)
Aurascape claims it can automatically uncover every AI app and agent in use and stop personal or risky usage.
Automatically uncover every AI app and agent in use, even those embedded inside SaaS apps, and stop personal or risky usage before it creates exposure.
Related framework references (5)
Aurascape claims it uncovers AI apps and agents embedded inside software as a service (SaaS) applications.
Automatically uncover every AI app and agent in use, even those embedded inside SaaS apps, and stop personal or risky usage before it creates exposure.
Related framework references (5)
Aurascape claims it decodes prompts, responses, user identity, and intent for AI interactions.
Decode prompts, responses, user identity, and intent
Related framework references (5)
Aurascape claims it applies policy based on role, sensitivity, and conversation context.
Apply policy based on role, sensitivity, and conversation context
Related framework references (5)
Aurascape claims it detects sensitive information in AI tools in real time and applies contextual controls to prevent leakage or misuse.
Detect sensitive information flowing through AI tools in real time and apply contextual, intent-based controls to prevent leakage or misuse.
Related framework references (5)
Aurascape claims it secures employee AI use across apps, browsers, copilots, and agents.
Aurascape helps organizations safely adopt AI without slowing the business down. We secure employee AI use across apps, browsers, copilots, and agents
Related framework references (5)
Aurascape claims it helps organizations securely build and operate AI agents and applications with controls from development to runtime.
We help teams reduce risk across the AI lifecycle with controls that protect data, govern behavior, and strengthen security from development to runtime.
Related framework references (5)
Aurascape claims full visibility, adversarial testing, and continuous governance across every tool call and model interaction for agents.
Secure every agent from the first line of code to production runtime, with full visibility, adversarial testing, and continuous governance across every tool call and model interaction.
Related framework references (5)
Aurascape claims continuous governance across every tool call and model interaction for agents.
Secure every agent from the first line of code to production runtime, with full visibility, adversarial testing, and continuous governance across every tool call and model interaction.
Related framework references (5)
Aurascape materials reviewed did not provide a public claim for non-human identity (NHI), service-account, credential lifecycle, or AI-agent identity governance.
No quoted source text is recorded for this claim.
Related framework references (5)
Aurascape materials reviewed did not provide a public claim for AI spend attribution, model routing cost control, budgets, rate limits, or runaway token controls.
No quoted source text is recorded for this claim.
Related framework references (5)
Aurascape 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)
Aurascape says it provides visibility, policy control, and guardrails so teams can safely use and build AI apps and agents.
Aurascape provides the visibility, policy control, and guardrails you need so teams can safely use and build AI apps and agents.
Related framework references (5)