know your ai agent

keep your data secure

$4.44M is too much to lose.

IBM's 2025 study put the global average cost of a data breach at $4.44 million across 600 breached organisations. Understand what your agents can reach before sensitive data leaves your control.

Source: IBM / Ponemon, July 2025 ↗

97% lacked AI access controls.

Among organisations in IBM's 2025 study that reported a breach involving AI models or applications, 97% lacked AI access controls. Discover your agents, review their permissions and apply least privilege.

Source: IBM / Ponemon, July 2025 ↗

Trusted agents can expose sensitive data.

Anthropic stress-tested 16 models in fictional corporate environments. Under specific goal conflicts, some models leaked confidential information. These were controlled simulations, not a measure of real-world breach rates. Limit access and test risky workflows.

Source: Anthropic, June 2025 · simulations ↗

1 in 5 reported a shadow AI breach.

One in five organisations in IBM's 2025 breach study reported an incident involving unauthorised AI use. You cannot review permissions for agents you have not discovered.

Source: IBM / Ponemon, July 2025 ↗

241 days to identify and contain a breach.

That was the global average breach lifecycle in IBM's 2025 study. Monitoring agent activity can help teams investigate unexpected access and respond to suspicious data flows.

Source: IBM / Ponemon, July 2025 ↗

60% involved compromised data.

In IBM's 2025 study, 60% of AI-related security incidents resulted in data compromise. Review access to customer records, personal information and intellectual property before connecting more tools.

Source: IBM / Ponemon, July 2025 ↗

A document can become an instruction.

OWASP describes how malicious instructions hidden in websites or files can redirect an AI system and expose sensitive information. Treat retrieved content as untrusted and restrict the tools an agent can use.

Source: OWASP LLM Top 10, 2025 · Prompt Injection ↗

Read access should not mean delete access.

OWASP identifies unnecessary tools, broad permissions and unchecked autonomy as causes of excessive agency. Give each agent only the access its task needs, and require approval for high-impact actions.

Source: OWASP LLM Top 10, 2025 · Excessive Agency ↗

Scope agreed by proposal. Clear findings. Practical next steps.

0 activities allowed 0 activities blocked 0 being analyzed
Rotating regular dodecahedron connected to twenty data risk areas

Personal data

Unauthorised access can expose personal records and identifiers.

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Financial data

Broad permissions can reveal invoices, balances and payment records.

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Credentials

Leaked API keys and tokens can unlock connected systems.

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Customer records

Shared accounts can expose data across customer boundaries.

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Internal documents

Confidential plans can leave through an agent’s connected tools.

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Source code

Repository access can expose proprietary code and embedded secrets.

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Cloud resources

Over-scoped identities can reach unrelated storage and services.

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External tools

Untrusted integrations can redirect actions or export sensitive data.

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Email accounts

Mailbox access can expose private conversations and enable impersonation.

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Calendars

Meeting details can reveal contacts, locations and confidential projects.

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HR records

Employee files can expose payroll, identity and employment information.

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Health records

Medical information can be disclosed outside its intended care context.

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Legal documents

Contracts and privileged material can leave approved workspaces.

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Database exports

Bulk extraction can expose far more records than a task needs.

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Chat messages

Conversation history can reveal private decisions and shared secrets.

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Backups

Backup access can bypass restrictions on live business systems.

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Browser sessions

Session tokens can let an agent act as a signed-in user.

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Audit logs

Log changes can hide activity or remove investigation evidence.

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Training data

Unreviewed datasets can contain personal information and proprietary material.

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Agent memory

Stored context can retain sensitive data or carry poisoned instructions.

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01

Discover AI agents

Identify agents, MCP servers and the systems they connect to.

02

Map data access

Understand which data each agent can reach, including customer records and intellectual property.

03

Assess the risks

Review permissions, credentials and workflows to identify unnecessary access and potential leaks.

04

Enforce least privilege

Limit each agent to the data and tools its task requires.

05

Monitor activity

Track data access and tool use to spot unexpected behaviour and investigate suspicious activity.

06

Review and improve

Reassess permissions as agents, integrations and business needs change.

Start with an AI agent security audit.

A focused assessment of your agents, MCP integrations, credentials and access to sensitive company information.

01

Discover

Identify the agents, MCP servers and integrations in your selected scope.

02

Map access

See which systems, tools and sensitive data each agent can reach.

03

Assess

Check permissions, credential handling and potential data exposure.

04

Prioritise

Get findings ranked by risk, with clear evidence and recommended fixes.

05

Recheck

Validate your changes and track which access risks still need attention.

Let's review your agent access.

We're working hard to deliver the highest quality experience for securing your AI agents. Leave your details and tell us what you're building. Scope, availability and pricing are confirmed in an individual proposal.

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FOR INVESTORS

Interested in the future of agent security?

We're building aioscope to help businesses discover AI agents, understand their data access and enforce least privilege. Our ambition is to move fast, build on strong security foundations and become a leader in AI agent security. We are starting with focused audits to learn from real business needs and turn those insights into a scalable product. We want to work with investors who share our urgency, value careful execution and see the opportunity to make secure agent adoption the standard. Let's talk about building it together.

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