Opal Zero
Opal Zero is a just-in-time access governance platform for AI agents that inventories every agent, maps it to an accountable owner, decides each access request, and enforces the decision in the MCP gateway already in place. It gives organizations one inventory across identity providers and AI platforms such as Okta, Entra, Anthropic, OpenAI, Bedrock AgentCore, and Cursor, showing what every agent can access and who owns it. Risk Center surfaces access that is off-purpose, unowned, or standing and routes issues to the appropriate owner with an inline fix. Paladin evaluates requests using policy and context, identifies the least-privileged path, respects owner boundaries, and shows the reasoning behind each decision. Policy Insights uses real agent behavior to identify unused access and opportunities to improve access policy instead of relying on one-off remediation. Gateway Enforcement writes approved decisions as scoped, time-bound policy into existing gateways.
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CloudEagle.ai
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CloudEagle.ai is an AI-powered SaaS Management, AI Governance, and SaaS Security platform that gives enterprises one command center to discover, secure, govern, and optimize their entire SaaS and AI stack, including AI usage control and both human and non-human identities.
CloudEagle governs applications, identities, and non-human identities (service accounts, bots, API keys, AI agents) continuously, rationalizing redundant tools and tracking security posture against frameworks like NIST 800. Onboarding takes 30 minutes; savings and governance start day one. To date: $50B+ in spend processed, $3B+ saved.
With 500+ integrations, CloudEagle eliminates shadow SaaS and AI, enforces AI usage policies, and secures non-human identities. Slack-enabled, no-code workflows automate onboarding/offboarding, access reviews, license harvesting, and just-in-time access, while an autonomous agent triggers renewals and routes approvals through Slack, Jira, or ServiceNow.
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Enkrypt AI
Enkrypt AI is an agentic AI security and compliance platform designed to protect AI applications, models, agents, and their interactions throughout deployment. The platform combines continuous red teaming, real-time guardrails, monitoring, and policy enforcement to help organizations identify and mitigate AI security, safety, compliance, and brand risks. Enkrypt AI dynamically tests AI systems with use-case-specific attacks to uncover issues such as prompt injection, jailbreaking, data leakage, hallucinations, bias, harmful content, model drift, and unsafe agent actions. Real-time guardrails analyze AI interactions and block threats as they occur while adapting to changing prompts and emerging risks. Its compliance capabilities translate internal policies and external regulations into automated controls while producing evidence that organizations can use for audits and governance.
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NVIDIA OpenShell
NVIDIA OpenShell is an open, secure runtime for autonomous AI agents that governs how agents execute, what they can access, and where inference traffic goes. Security is enforced in the environment rather than inside the model or application: nothing is permitted by default, permissions are granted through policy, and enforcement happens outside the agent process so it cannot be bypassed through prompting. Each agent runs in an isolated sandbox with no direct network access, limited file access, and kernel-level monitoring of system calls. A gateway acts as the control plane, authenticating users, managing sandbox lifecycles, and delivering policies, settings, credentials, and inference configuration. A supervisor runs outside each sandbox, evaluates network requests against policy at the binary, destination, method, and path levels, and provides credentials only when allowed.
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