Akto provides an AI Agent Security Platform that automatically discovers, catalogs, and protects AI agents, model‑controlled pipelines (MCPs) and associated tools across cloud environments, employee devices, and custom applications. The solution offers automated red‑team testing, real‑time runtime guardrails, and unified posture management to detect and block prompt injections, data leakage, tool misuse, and other AI‑specific threats for enterprise security teams.
Funding
$4.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OFounders
Product
Problem
Enterprises deploying AI agents, large language models (LLMs), and model‑controlled pipelines (MCPs) often lack visibility into these components and their interactions, making it difficult to detect prompt injections, data leakage, tool misuse, and other AI‑specific threats. Traditional security tools focus on infrastructure and code, leaving the AI layer unprotected and exposing organizations to high‑impact attacks.
Solution
Akto offers an AI Agent Security Platform that automatically discovers and catalogs AI agents, MCPs, and associated tools across cloud environments, employee devices, and custom applications. The platform provides automated red‑team testing with thousands of probes to validate agent behavior and identify injection, escalation, and data‑exfiltration risks during CI/CD pipelines. Continuous runtime protection monitors agent‑tool interactions in real time, enforcing guardrails that block unauthorized calls, loops, and excessive usage. Security teams receive a unified dashboard for posture management, enabling classification of threats, exposure of sensitive data, and compliance reporting across the entire AI stack.
Target Audience
Primary customers are enterprise application security (AppSec) teams and AI security groups responsible for protecting large‑scale AI deployments, including Fortune 500 organizations and cloud‑native enterprises.
Features
- Automated discovery of hidden and shadow AI agents, MCPs, and tool integrations across endpoints and cloud workloads
- Agentic red‑team engine with 4,000+ probes covering prompt injection, jailbreak, tool poisoning, and privilege escalation
- Real‑time runtime protection that detects and blocks abusive agent loops, unauthorized tool calls, and excessive resource usage
- Security posture management with classification of PII exposure, third‑party dependencies, and maturity scoring for AI deployments
- Integration hooks for CI/CD pipelines and API monitoring to enforce guardrails during development and production
- Centralized dashboard with alerts, trend analytics, and reporting for modern application security (AppSec) teams