Miggo Academy

AI Application Security defends AI-enabled applications from prompt abuse, data exposure, and runtime threats through continuous protection.

AI Runtime Security protects AI and ML systems from prompt injection, model theft, and data leaks by monitoring and controlling behavior in real time.

Reachability analysis identifies which vulnerabilities can actually be exploited at runtime, helping teams focus on real, high-impact risks.

eBPF is a Linux kernel technology that delivers safe, high-performance visibility and control at runtime, transforming modern observability and secur

Zero Day vulnerabilities are unknown flaws exploited before patches exist, allowing attackers to strike instantly while defenders remain blind.

Application Runtime Security (ARS) protects applications during execution, detecting and blocking attacks in real time across any environment.

Cloud native applications use microservices, containers, and automation to deliver scalable, resilient, and fast-evolving cloud-based software.

Preemptive Exposure Management (PEM) identifies and neutralizes exploitable risks before attackers act, using predictive, runtime-aware intelligence.

Application Detection & Response (ADR) defends modern apps from within, using runtime monitoring to detect and block real attacks in real time.