Kavryl product preview showing AI agent inventory, SaaS permission paths, and high-risk exposure findings

AI security assessment and scanner

We find risky AI agents before they expose your business.

Kavryl scans your cloud, SaaS, identity, GitHub, and AI agent configs to show what AI systems exist, what they can access, and what to fix first.

AI agent discovery MCP and tool risk OAuth and SaaS permissions Azure, AWS, GitHub, M365, Google

Plain-English service

Kavryl is a security scan for companies using AI agents.

We run read-only scanners, review permissions, map risky access paths, and deliver an executive report your CIO, CISO, CEO, and engineering team can understand.

What we check

One assessment across AI, cloud, SaaS, identity, and code.

Most companies do not know which AI tools are connected to sensitive data. Kavryl gives you that visibility quickly, without needing admin write access.

Find the AI agents

Discover internal copilots, agent frameworks, MCP servers, automation scripts, RAG apps, and LLM-connected tools.

Map what they can touch

Review file access, shell access, browser tools, OAuth scopes, SaaS connectors, cloud permissions, and secrets exposure.

Show what to fix first

Prioritize findings by business impact, sensitive data access, destructive permissions, and likely attack paths.

What you get

AI Agent Exposure Assessment

A focused assessment for teams that need a clear answer: where are our AI agent risks and what do we fix first?

Read-only scans

Scan Azure, AWS, GitHub, Microsoft 365 / Entra, Google Workspace, repos, MCP configs, and LLM app settings.

Risk graph

Connect agents, apps, identities, OAuth grants, cloud roles, secrets, and data stores into clear exposure paths.

Executive report

Deliver a simple business report with severity, evidence, MITRE ATLAS and OWASP mapping, and owner-ready fixes.

Remediation plan

Give security and engineering a short action plan to reduce access, tighten approvals, and monitor high-risk agents.

How we help

Start with a one-week assessment. Grow into continuous protection.

Kavryl starts as a practical service and scanner. The platform grows into continuous monitoring for AI agent exposure.

Step 1

Scan

Collect read-only evidence from cloud, SaaS, identity, GitHub, and agent configuration sources.

Step 2

Explain

Translate technical exposure into simple business risk: sensitive data, privilege, blast radius, and misuse paths.

Step 3

Protect

Track fixes, reduce risky permissions, and monitor new AI agents as teams adopt more automation.

Why now

Agent security is a permission problem.

The risk is not only what an agent says. It is what the agent can do after it receives a bad instruction.

Buyer questions

Simple answers for AI agent and MCP security.

What is AI agent security?

AI agent security means finding AI agents, understanding what tools and data they can access, limiting risky permissions, and monitoring actions like sending messages, changing tickets, reading files, or running commands.

What is MCP security?

MCP security reviews Model Context Protocol servers and tools, including file access, shell access, browser automation, SaaS connectors, OAuth scopes, identity boundaries, and approval controls.

What does Kavryl scan for?

Kavryl scans for AI agents, MCP configs, LLM frameworks, risky tools, secrets, broad OAuth scopes, SaaS access, RAG apps, and cloud access paths.

Who should use Kavryl?

Kavryl is built for CISOs, CTOs, security engineers, product security teams, platform teams, and engineering leaders adopting AI agents, MCP tools, internal copilots, RAG apps, or AI workflow automation.

What buyers receive

Downloadable reports that show exactly what to fix.

Security leaders need more than scanner output. Kavryl delivers executive, cloud, SaaS, identity, and agent reports that explain blast radius and owner-ready remediation.

Sample exposure score 82 High
Report 01: Executive AI Agent Permission Risk Report

Board-ready summary with business impact, top access paths, OWASP/API mapping, MITRE ATLAS-style interpretation, and first actions.

Report 02: Azure and AWS AI Agent Risk Report

Synthetic subscription, account, resource, and ARN evidence modeled on Kavryl Azure and AWS scanner output.

Report 03: SaaS, OAuth, GitHub, and Agent Risk Report

Microsoft 365 / Entra, Google Workspace, GitHub, OAuth grants, and MCP tool findings with clear remediation steps.

Open sample reports and PDFs

Kavryl Security

Want to know what your AI agents can access?

Book a 30-minute risk review