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> Govern what your AI agents can touch

AI Security & AI Agent Risk

AI agents and copilots now read your files, call your APIs, and act on your behalf — which means they can also leak credentials, reach systems they were never meant to, and act beyond their mandate. RHC Solutions secures the AI you deploy: we contain agentic AI risk, lock down credential and secrets access, and enforce least-privilege controls over the files and network resources an AI can reach — with monitoring and audit-ready guardrails so autonomy never becomes exposure.

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What we deliver

Agentic AI Risk Management

Inventory every AI agent, copilot, and autonomous workflow, then constrain their tools and actions with policy guardrails, human-in-the-loop approvals, and kill-switches — and harden them against prompt injection so an agent can never act beyond its mandate.

AI Credential & Secrets Protection

Stop agents from harvesting or leaking API keys, tokens, and passwords. Short-lived scoped credentials, secret-vault brokering, and just-in-time access mean an AI never holds standing secrets it could exfiltrate.

File & Data Access Governance

Least-privilege access to documents, repositories, and knowledge bases. Per-agent scopes, data-loss controls, and redaction ensure an AI only reads the files it is authorized to see — and nothing else.

Network & Resource Access Control

Egress filtering, allow-listed endpoints, and segmentation contain what AI agents can reach across your network and cloud — blocking SSRF, cloud-metadata theft, lateral movement, and unauthorized API calls.

> Details

AI risks we address

  • Over-privileged AI agents acting beyond their intended scope, or hijacked via prompt injection
  • Agents harvesting, logging, or exfiltrating credentials, API keys, and secrets
  • Unauthorized AI access to sensitive files, source code, and internal knowledge bases
  • AI reaching internal network resources, cloud metadata, and APIs it should never touch (SSRF, lateral movement)
  • Data leakage to third-party LLM providers and unsanctioned "shadow AI" tools
  • No audit trail of what an autonomous agent read, called, or changed
> FAQ

Frequently Asked Questions

What is AI agent security?
AI agent security governs what autonomous AI agents and copilots are allowed to do — which tools they can call, which credentials they can use, and which files and network resources they can reach — so an agent (or an attacker who hijacks it) cannot act beyond its intended scope.
How do you stop AI agents from accessing credentials?
We remove standing secrets from the agent entirely: credentials are brokered just-in-time from a vault, scoped to the task, and short-lived. Combined with egress controls and logging, an agent never holds an API key or password it could leak or exfiltrate.
Can you control which files and network resources an AI can reach?
Yes. We apply least-privilege, per-agent scopes to documents, repositories, and knowledge bases, and enforce allow-listed endpoints and network segmentation so an AI can only read the data and reach the systems it is explicitly authorized to — blocking SSRF and lateral movement.
Do you cover third-party copilots and LLM tools?
We assess and govern both in-house agents and third-party copilots and LLM tools, including discovery of unsanctioned "shadow AI", data-sharing controls with external providers, and policy enforcement across your whole AI surface.

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Secure your AI before it ships

Request an AI security assessment: agent inventory, credential and access review, and a prioritized remediation roadmap.