As AI Transforms Cyber Threats, Miggo Security Earns Gartner® Cool Vendor Recognition for Leading the Runtime Defense Revolution

The cybersecurity landscape is at an inflection point. As artificial intelligence becomes both a tool and a target, organizations are facing new types of attacks that bypass traditional defenses.

According to OneCloud IT Solutions, the average time to identify a cyber breach is 207 days, and it takes an additional 70 days to contain one. These windows of exposure create costly ripple effects, driving global breach costs to $4.88 million per incident, up 10% since 2020.

Meanwhile, the AI in the cybersecurity market is accelerating rapidly. Grand View Research estimates it will climb from $25.35 billion in 2024 to $93.75 billion by 2030. The rapid adoption of AI also introduces new risks, including model poisoning, prompt injection, and runtime manipulation, attack vectors that traditional signature-based tools can't detect.

In this new landscape, runtime protection, or security that operates as applications execute, has become essential. That's the space Miggo Security occupies, earning recognition as a Gartner® Cool Vendor in AI Security for 2025.

What Makes Miggo Security Stand Out

Miggo's Application Detection & Response (ADR) platform focuses on defending applications in real time, bringing AI-native security to runtime environments. Its key differentiators include:

DeepTracing™ technology monitors real-time execution behavior to detect AI-native anomalies, zero-day exploits, and emergent patterns that are invisible to static scanners.
AppDNA & Predictive Vulnerability Database automates prioritization by analyzing exploit probability and context, helping teams reduce vulnerability backlogs by up to 99%.
Miggo WAF Copilot uses AI to automatically generate and validate Web Application Firewall rules within minutes, aligning protection dynamically with new threat vectors.
Agentless architecture integrates seamlessly with Kubernetes, traces, and observability pipelines without intrusive agents, minimizing friction and performance overhead.
The operational multiplier empowers teams with contextual insight, helping security and DevOps collaborate efficiently while reducing remediation time by 30% or more.

Defending the AI Era

Daniel Shechter, CEO and Co-Founder of Miggo Security, says the recognition reinforces the company's mission to empower teams, not replace them. "We believe Application Detection & Response is the future of runtime security in the AI era to give CISOs and security teams the ability to know, prove, and shield AI-native threats in real time."

This perspective reflects a shift across the industry, particularly how modern security is about AI-empowered visibility and the ability to observe, learn, and respond without slowing innovation.

The Bigger Picture

As enterprises scale their use of generative models and intelligent agents, runtime defense is quickly becoming a baseline expectation. A recent study from Knostic.ai found that over half of large language models tested were vulnerable to prompt-injection attacks.

For organizations deploying AI-driven workloads, the takeaway is clear: security can't stop at detection. It must reside within the runtime itself, constantly learning, adapting, and mitigating in real-time. Miggo Security's approach captures this paradigm shift, representing the convergence of observability, AI, and defense.