Agentic AI Security for SaaS
SaaS providers are embedding LLMs and agents across their products. Akto enables safe adoption by detecting vulnerabilities, testing model behavior, and enforcing runtime guardrails across multi-tenant environments.
Complete Inventory of Agentic AI Across Tenants
Gain unified visibility into LLMs, MCP servers, and integrations across your platform. Detect sensitive data exposure, role misconfigurations, and untracked AI interactions.
Test for AI-Specific Risks in Multi-Tenant SaaS
Run continuous red team simulations that uncover prompt leaks, privilege escalation, and tenant-jumping risks across embedded AI assistants and automations.
Establish Governance for Safe AI Experiences
Apply Akto’s guardrails directly within your deployment pipelines. Prevent unsafe model behaviors and enforce tenant isolation and contextual boundaries at scale.
MCP Security Cheatsheet
A quick reference for security teams to understand MCP architecture, identify top threats, and follow a maturity model for securing agentic AI environments.
Akto Atlas - Agentic AI Security For Endpoint solution brief
Visibility and guardrails for AI agents and tools used by employees.
Akto Argus - Agentic AI Security For Cloud solution brief
Runtime security and continuous testing for AI agents running in your cloud.
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