CerberusAI provides an API security platform that embeds a lightweight SDK directly into application code to deliver real‑time protection against human and AI‑driven threats. Using intent‑based analysis and privacy‑preserving collaborative threat intelligence, it detects credential stuffing, undocumented endpoints, and compromised AI agents across the entire API surface, and can automatically trigger alerts, blocklists, or quarantine actions based on custom policies.
Funding
Funding not disclosed
Founders
Product
Problem
APIs, which handle the majority of internet traffic, are increasingly targeted by both human attackers and AI-driven threats, yet many organizations lack comprehensive, real-time protection that scales with the rapid growth of agentic AI and multi-cloud platforms.
Solution
CerberusAI offers an API security platform that embeds directly into application code via a lightweight SDK, enabling immediate protection without the need for external network appliances. The system leverages intent‑based analysis and collaborative threat intelligence to detect credential stuffing, undocumented endpoints, and compromised AI agents in real time. Detected threats are correlated across services while preserving user privacy, allowing the platform to identify malicious actors and rogue AI agents across the entire API surface. Users can configure flexible response workflows that automatically send alerts, update blocklists, or quarantine attackers based on custom policies. By integrating modern machine‑learning models with traditional intelligence tradecraft, CerberusAI provides a trust layer that safeguards API infrastructure against evolving, high‑volume attacks.
Target Audience
Primary customers are product and engineering teams that manage public or internal APIs, including AI platform providers, SaaS companies, and enterprises adopting agentic AI solutions.
Features
- SDK integration that embeds security directly into API server code, eliminating the need for separate middleware
- Intent‑Based Analysis™ that evaluates request intent to identify anomalous behavior such as credential stuffing and undocumented endpoint access
- Privacy‑preserving collaborative threat intelligence that tracks malicious actors and compromised AI agents across multiple services
- Automated response engine allowing custom workflows for alerts, blocklist updates, attacker bans, and AI agent quarantine
- Real‑time detection of cross‑session anomalies and compromised AI agents with contextual quarantine actions
- Scalable architecture designed to handle 10x‑100x increases in API traffic driven by agentic AI and multi‑cloud environments