Miggo Academy

In the Super Bowl, a team playing by last season's playbook doesn't just lose, it loses confidently. That's model confidence drift: an AI that's sure it's right, even when it's working from outdated data. See why the most dangerous AI isn't the one that breaks, it's the one that doesn't know it should.

In Hawkins, the threat slipped in through the cracks, and by the time anyone noticed, it was already in control. Prompt injection works the same way: malicious instructions hidden inside inputs, hijacking what your AI does next. See why what goes in matters as much as what comes out.

In Jurassic Park, the park's own systems were used against it. AI tool poisoning works the same way: attackers don't break in, they corrupt the tools your agents already trust. See how this attack works and why it's harder to spot than you'd expect.

In the Flintstones, the technology was never really automated. It was just animals, following instructions. But what happens when they act on their own? See how shadow AI agents operate outside your visibility and why they're so hard to catch.

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.