Insurer
8 weeks
early for the EU AI Act
An insurer was audit-ready for the EU AI Act 8 weeks early.
- EU AI Act
- NIST AI RMF
42001ISO/IEC 42001
Enterprise AI Security Platform · at the endpoint
Agentic AI security: see, stop and govern every AI agent.
AIBound is an Enterprise AI Security Platform built for agentic AI security. Five products find the AI agents, MCP servers and skills your employees run, stop the high-risk ones in real time, and record every decision for your GRC program.
AIBound stops the agent swarms.
- See
- Stop
- Govern
Why the endpoint
Your stack watches traffic, processes and the cloud. The agents run on the device.
Agents, MCP servers, skills and local models are installed on employee devices. Most of the security tools you run today never look there.
AIBound
The AI on the device and what each one can reach.
Keep your gateway for DLP and your XDR for response. AIBound adds the AI layer.
The platform, layer by layer
Five products. Five layers deep on every AI.
Five agentic AI security tools, each doing one job, that together cover agentic AI security from the first find to the audit.
Layer 01 · See
AISeeker
You know every AI running on your devices.
“You cannot stop what you cannot see.”
Finds every agent, MCP server, skill, model and extension on the device.
AISeeker
Layer 02 · Stop
AgentTracer
Traces what it reaches
“Which AI can read HR data, and whose account is it on?”
AgentTracer traces each AI from the person, through its identity and connector, to the sensitive system and data it can reach.
AgentTracer
Layer 03 · Stop
SkillGuard
Checks every skill
“Read every skill the way an attacker would.”
SkillGuard reads every skill and sub-agent inside your AI coding agents, grades it A to F, and stops the bad ones at install.
SkillGuard
Layer 04 · Stop
AgentHarness
Stops high-risk AI
“Block it, or ask before it runs.”
AgentHarness turns plain-English policy into rules enforced inside the agent itself: allow it, ask the user, or block it.
AgentHarness
Layer 05 · Govern
AIAssure
Records the proof
“Show the auditor, show the board.”
AIAssure records every catch, grade and decision as evidence for your GRC program.
AIAssure
How it works
How does agentic AI security fit your stack?
140-plus integrations. AIBound plugs into the tools you already run and works on every employee device.
-
AIBound plugs in
One connection. No agents.
- AISeeker
- AgentTracer
- SkillGuard
- AgentHarness
- AIAssure
Five layers of protection on every AI, in one platform.
-
Your stack, as it is
Already in place.
- SIEM
- SOAR
- Ticketing
- Identity
- Notifications
AIBound works beside your current tools, not instead of them.
-
Every employee device
Every AI your employees run.
- Claude Code Allowed
- Community MCP server Ask
- Local model Ask
- pdf-export skill Stopped
- Personal agent Denied
Agents, MCP servers, skills, models, apps and prompts.
Stop in real time
The AI Kill Switch.
An AI Kill Switch stops a rogue agent on every endpoint. Policy runs inside the agent, and malicious skills are blocked at install.
- ALLOW
- ASK
- DENY
AgentHarness · policy rules
- 15 min to install
- 140+ ready-made integrations
- Real time results
Customer results
What customers have done
Bank
Live
A bank replaced a two-analyst, two-week board report with one generated from live data.
Retailer
210
A retailer safely unblocked 210 employees with one policy.
Built to be trusted
Held to the standards regulated companies run on.
AIBound is SOC 2 Type II compliant and ISO 27001 certified. Every decision it records maps to the frameworks your auditors already work with.
AIBound today
-
SOC 2 Type IICompliant -
ISO 27001Certified
Evidence for your GRC program
- EU AI ActRegulation
- NIST AI RMFFramework
- 42001 ISO/IEC 42001Standard
AIBound maps its evidence to these frameworks. It does not certify anyone against them.
Founded by a 5x Global CISO: the former Global CISO of Palo Alto Networks and Chief Trust Officer of Workday.
Palo Alto Networks 
FAQ
Frequently asked questions
What is agentic AI security?
Agentic AI security protects a company from the AI agents its employees run: coding agents, desktop assistants, MCP servers and the skills they load. AIBound does agentic AI security at the endpoint. It finds every agent, shows what each one can reach, stops the high-risk actions in real time and records the evidence.
What is AI Usage Control (AIUC)?
AI Usage Control (AIUC) at the endpoint is the job AIBound does. It finds the agents, MCP servers, skills, models, apps and prompts employees already run, and stops the high-risk ones in real time. Most security stacks cannot see these, because they sit on the endpoint.
How do I stop AI agents reaching sensitive systems?
First, see what each agent can reach. AgentTracer shows who or what an agent runs as, what it is wired into and how far it could go. Then set the rule. AgentHarness enforces plain-English policy inside the agent, so each action is allowed, asked about or denied in real time.
How do I find MCP servers on developer laptops?
AISeeker finds MCP servers on employee devices, along with the agents that use them, the skills they load and the models they call. Each one shows up with what it can reach, so SecOps can see which developer laptops run an MCP server and which ones need action.
How do I detect malicious AI skills?
SkillGuard reads every AI skill and sub-agent the way an attacker would, grades it from A to F, and blocks the risky ones at install. It scans the AI coding agents developers use, including Claude Code, Codex, Copilot and Cursor, so a poisoned skill is stopped before it can act.
What can a compromised AI agent access?
A compromised AI agent can reach whatever its employee can reach: repos, cloud consoles, tokens, and HR or finance systems. AgentTracer maps that path, from the person through the agent's identity and connectors to the data, so you can see how far an attack could spread before it happens.
What are agentic AI security best practices?
Find every agent, MCP server and skill on employee devices. Check who each agent runs as and what it can reach. Grade skills before they install. Enforce policy inside the agent, so risky actions are blocked in real time. Keep every decision as evidence. AIBound covers all five steps of agentic security.
What is agentic AI governance?
Agentic AI governance is how a company sets the rules for the AI agents its employees run, and proves those rules are followed. With AIBound, you choose the policies, and each agent action is allowed, asked about or denied under them in real time. AIAssure records every decision as evidence for the GRC program you already run, mapped to the EU AI Act, NIST AI RMF and ISO/IEC 42001.
