Miggo Security Recognized as a Gartner® Cool Vendor: Defining the Future of AI Runtime Defense

The cybersecurity sector is under mounting pressure. As AI proliferates across industries, attackers are increasingly abusing the gaps in how systems behave after deployment. According to Grand View Research, the global AI in cybersecurity market is expected to swell from USD 25.35 billion in 2024 to USD 93.75 billion by 2030.

Meanwhile, a report from POLARIS Market Research predicts that the market will continue its rapid rise, reaching approximately USD 219.53 billion by 2034. These numbers suggest that enterprises are recognizing the urgency of stronger defenses, especially ones capable of real-time or near-real-time detection and mitigation.

The financial costs of waiting can be extreme. IBM reports that, in 2024, organizations in the financial industry took an average of 168 days to identify a breach and 51 days to contain one. Even as detection times improve, such delays leave large windows of exposure. The evolving threat landscape now includes AI-powered threats that evade traditional, static defenses. Studies show that more than half of audited large language models succumb to prompt-injection attacks.

Miggo Security Stepping Into the Breach

Into this environment steps Miggo Security, now recognized as a Gartner® Cool Vendor in AI Security. The award shines a spotlight on their Application Detection & Response (ADR) and runtime behavioral security, designed to close the gap between when an exploit or anomaly begins and when it can be fully mitigated.

What makes Miggo’s offering stand out:

• DeepTracing™ Technology: Monitors what applications are actually doing during execution to catch AI-native threats, emergent attack patterns, and zero-day behaviors.
• AppDNA & Predictive Vulnerability Database: Helps cut backlog of unaddressed vulnerabilities by up to 99% through contextual analysis and automated proofing.
• Miggo WAF Copilot: Enables the generation of tailored web-application firewall rules in minutes, aligning quickly with new threat vectors.
• Agentless Integration: Works with Kubernetes, trace data, and application profiles without requiring heavy agents, reducing deployment friction.
• Team Force Multiplier: Centralized AI-driven context that helps engineering and security teams align faster and lower operational overhead by 30% or more.

Miggo argues that these capabilities are essential in a world where AI introduces new dimensions of risk.

Leadership Vision and Strategic Implications

Daniel Shechter, CEO and Co-Founder of Miggo Security, puts it plainly: “This recognition by Gartner, in my opinion, validates the vision and innovation that define Miggo Security,” he says. “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.”

For enterprise leaders, Miggo’s rise signals strategic priorities. As organizations scale their use of AI agents, embedded models, and automated pipelines, the following become critical:

• shortening the time between detection and mitigation
• reducing the risk exposure inherent in prompt-injection or adversarial agent attacks
• integrating runtime behavior analytics into everyday security operations
• aligning engineering with security through shared, real-time visibility

A Turning Point in AI Security

Recognition from Gartner as a Cool Vendor is a lightning rod for shifting standards. As the market grows rapidly, tools that operate close to runtime are becoming baseline expectations. Miggo Security’s platform, with its ADR orientation, AI-augmentation, and focus on both traditional and AI-native application threats, is positioned to play a meaningful role in how enterprises defend themselves in the next generation of cyber risk.

If the recent statistics teach anything, it’s that delays matter: every day an attack remains undetected and uncontained increases the stakes. In the evolving AI epoch, runtime defense is smart and essential.