The control plane for AI agents

Let your agents work. Keep control of everything they touch.

RayShield Aegis sits between the AI agents your teams run and your infrastructure. Each agent reaches only what its role allows. The controls sit below the agent, where it can’t see or switch them off, and every action leaves a tamper-evident record.

Book a demo See how it works

RayShield posture dashboard showing Discover, Control and Protect planes with live counts — Observed, decided, enforced — one view across every agent.

Works with the agents your developers already use: Claude Code, Gemini CLI and Cursor CLI, with more harnesses on the way.

Built with design partners across four industries

RayShield Aegis is being shaped alongside security teams at:

Ride-hailingGlobal retailBankingLogistics

Read their stories

Already happening

Your newest employees never signed an NDA.

Developers across your company are running AI agents today. Those agents read code, call APIs, install packages and connect to tools, all with the developer’s own permissions. An agent has a goal, not a conscience. It will use every key, file and connection within reach to finish the job. Most security tools were built to watch people. Agents need something that controls them.

Invisible

You can’t see which agents are running, on which machines, or what they’re connected to.

Over-privileged

Agents inherit the full access of the person running them, including secrets they never needed.

Unprovable

When something goes wrong, there’s no trustworthy record of what the agent actually did.

Discover overview: AI services detected, endpoints observed, shadow share, and services needing a governance decision — The agents you couldn't see, now inventoried — with shadow AI flagged for review.

One control plane

See every agent. Contain every run. Govern from one place.

Discover

Find every AI tool and agent running across your laptops and servers, and see what each one could reach before it does anything.

Contain

Run agents in a sealed environment that allows only the connections, files and tools their policy grants. Everything else is blocked, every time.

Govern

Assign policies by user, team or role. Approve new tools. Watch activity and alerts across your whole fleet from one console.

Traffic-flow graph mapping users and endpoints to AI services by request volume — Every person and endpoint mapped to the AI services they actually reach.

Groups and policies screen showing owners, devices, assigned CUEs and review-by dates — Role-based policies and CUEs per group, with recertification built in.

Explore the platform

Four steps from install to control.

Install

Install Aegis on every laptop or server where agents run.

Assign a policy

Each role gets a centrally controlled policy that spells out exactly what its agents may reach.

Agents run sealed

Developers keep using their usual tools. Aegis wraps each run in an isolated environment that enforces the policy.

Everything is recorded

Prompts, network activity, commands and detections flow into one console, with tamper-evident logs.

See it in detail

Security the agent can’t talk its way around.

Enforced below the agent

Controls live in the layer beneath the agent’s environment. The agent can’t see them, change them or route around them.

Deterministic, not a guess

If a connection isn’t in the policy, it’s blocked. No scoring, no ‘probably safe,’ no fallback.

Agents never hold your real secrets

Credentials are supplied at runtime, so the agent never sees the raw key it’s using.

Know the blast radius before you run

Aegis maps what an agent could reach without executing anything.

Works on any runtime

Laptops, servers, cloud VMs or plain Python. One policy works the same everywhere.

MCP Bridge catalog showing onboarding steps, security-scan findings and per-group access — Every MCP is scanned and approved before an agent can use it — nothing connects by default.

Runtime blast-radius view listing DLP-blocked agent runs by user and CUE — What each run actually reached — ranked by the runs the DLP engine blocked.

Built with, not just for

Designed alongside the teams with the most to lose.

Ride-hailing, retail, banking and logistics all run on sensitive data, real money and systems that can’t go down. Each design partner has developers already using AI agents. They’re helping us build the control plane they need.

NYSE-listed

Ride-hailing

Controlling coding agents across a large engineering organisation that handles rider, driver and payment data.

Global retail

Keeping customer and payment data out of reach of AI agents across thousands of developers and hundreds of systems.

Banking

Giving regulators a clear, provable answer to how AI agents are controlled.

Logistics

Letting agents work with operational systems and partner APIs without exposing shipment and customer data.

Read the design partner stories

Built for the people who carry the risk, and the people doing the work.

Security teams

Show me what needs my attention, let me act on it, and prove nothing was tampered with.

CISOs and CTOs

A defensible view of agent risk across the whole company, ready for the board and the regulator.

Developers

Keep using Claude Code, Gemini CLI or Cursor CLI exactly as you do today, without becoming the security risk.

We tell you where the boundary is.

Security buyers have heard enough ‘AI-powered, fully protected.’ We say what Aegis enforces, how, and where its protection ends. If an agent runs outside Aegis, we tell you it’s there. We don’t pretend it’s covered.

Read our security approach

Your teams are already running agents. Decide what they can touch.

See RayShield Aegis on your own agents in a 30-minute demo.

Book a demo Request a blast-radius assessment