In an era defined by rapid advances in AI adoption, cybersecurity is racing to keep up. Traditional defenses built for predictable systems are ill-equipped for today’s adaptive, self-learning applications. Against this shifting backdrop, Miggo Security, a Tel Aviv-based pioneer in Application Detection & Response (ADR) and AI Runtime Defense, has been named a Gartner® Cool Vendor in AI Security, a recognition that signals the growing importance of runtime protection in the AI-driven enterprise.
A Wake-Up Call for Modern Cyber Defense
AI has transformed the way businesses operate, but it has also created new, less-understood attack surfaces. According to Gartner, “Through 2029, over 50% of successful cybersecurity attacks against AI agents will exploit access control issues, using direct or indirect prompt injection as an attack vector.”
For many enterprises, this statistic reflects the widening detection-to-mitigation gap that leaves applications vulnerable between the initial compromise and eventual containment. Miggo’s platform was designed to close that gap by combining behavioral detection, AI reasoning, and automated response to identify what applications actually do at runtime.
Miggo’s Core Innovation
Unlike traditional security tools that rely on static signatures, Miggo’s ADR platform analyzes application behavior dynamically, surfacing anomalies and threats as they unfold. The company’s innovation can be distilled into five differentiators:
- DeepTracing™ Technology: Detects zero-days, AI-native threats, and emerging attack patterns in real time.
- AppDNA & Predictive Vulnerability Database: Uses deep contextual analysis and an automated proving engine to reduce vulnerability backlogs by 99%.
- Miggo WAF Copilot: Automatically generates custom WAF rules within minutes to protect against new and evolving threats.
- Agentless Integration: Works seamlessly with Kubernetes and application traces without disrupting existing environments.
- AI-Driven Force Multiplier: Centralizes context for security and engineering teams, reducing manual workload by 30% or more.
This combination of automation and intelligence allows Miggo to detect and respond to threats in minutes, not hours, an increasingly critical capability as AI systems become both targets and tools in modern attacks.
A Validation of Vision
For Miggo’s leadership, the Gartner recognition reinforces a vision they’ve been building toward since the company’s inception.
“This recognition by Gartner, in my opinion, validates the vision and innovation that define Miggo Security,” said Daniel Shechter, CEO and Co-Founder of Miggo Security. “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.”
Shechter’s statement highlights a key philosophical shift: securing applications is no longer about perimeter control, but rather about real-time awareness of what code is doing at every execution layer.
Why It Matters for Enterprises
Enterprises adopting AI are under increasing pressure to prove security without slowing innovation. Miggo’s agentless, context-aware design aligns with that need, offering a path to:
- Continuous protection against AI-specific threats and prompt injection attacks.
- Operational efficiency, with up to 30% reduction in security overhead.
- Proactive vulnerability management, cutting the remediation backlog by up to 99%.
- Faster collaboration, as security and engineering teams share unified runtime visibility.
These benefits resonate at a time when detection speed directly impacts financial and reputational outcomes. Industry data from IBM shows that breaches now take an average of 199 days to detect and 73 days to contain, which Miggo aims to reduce to minutes.
The Bigger Picture
For Miggo, the Cool Vendor distinction is an affirmation of a new security paradigm. As enterprises deploy AI agents, autonomous workflows, and adaptive decision engines, security must move closer to runtime, where behavior, not just code, defines risk.
In that sense, Miggo’s trajectory mirrors the evolution of cybersecurity itself: from reactive defense to predictive, autonomous resilience. Whether this model becomes the new industry standard remains to be seen, but one thing is clear: the future of AI security will depend on how effectively companies can detect and respond in real time.
