Miggo Security Receives Frost & Sullivan Recognition for Application Security Innovation
Miggo Security's Application Detection and Response platform earned Frost & Sullivan's 2025 Global New Product Innovation Recognition, highlighting its critical role in protecting cloud and AI-native applications against evolving threats.

Miggo Security has been awarded the 2025 Global New Product Innovation Recognition by Frost & Sullivan for its leadership in application security, validating the company's approach to protecting cloud and AI-native applications. The recognition comes as organizations face increasing security challenges from distributed, microservices-based architectures that leverage cloud and artificial intelligence, which have significantly expanded the attack surface beyond the capabilities of traditional AppSec tools.
According to Frost & Sullivan's official recognition, Miggo's Application Detection and Response platform stands out by offering real-time observability and protection in production environments. The solution bridges gaps left by legacy tools and delivers contextual, actionable insights that enable enterprises to identify and neutralize threats as they happen. The evaluation found that Miggo excels in aligning innovation with market needs and delivering results with precision.
At the core of Miggo's platform is DeepTracing technology, which leverages eBPF and OpenTelemetry to capture every function call as an execution trace. This allows security teams to gain deep visibility into how benign code flows evolve into exploit chains, enabling detection and blocking of threats such as logic abuse, prompt injection, and behavioral drift in real time. Another innovation, AppDNA, constructs dynamic dependency graphs that correlate user actions with APIs, code lines, and system calls to identify real, exploitable vulnerabilities instead of theoretical risks.
The timing of this recognition aligns with significant market growth projections. MarketsandMarkets projects the global application security sector to reach USD 26.7 billion by 2028, up from USD 15.7 billion in 2023, at a compound annual growth rate of 11.2 percent. This growth reflects the increasing importance of runtime protection and observability as enterprises move workloads to the cloud and adopt AI technologies. In April 2024, Miggo raised $7.5 million in seed funding led by YL Ventures to accelerate its ADR platform development and market reach.
Miggo's approach addresses critical security gaps in modern enterprise environments. As organizations operate across hybrid cloud, containerized, and AI-driven environments, attackers are exploiting new pathways including API abuse, service chaining, and prompt injection. Traditional monitoring and testing cannot fully secure these real-time systems. Miggo's ADR model closes this gap by offering continuous runtime visibility and automated defense through its agentless and sensor-agnostic design, which allows teams to integrate seamlessly across environments in under an hour.
Customer deployments have demonstrated significant improvements, including a 30 times improvement in policy-violation detection, fewer false positives, and substantially reduced mean-time-to-detect and mean-time-to-respond metrics. Organizations also report faster release cycles and improved risk visibility without increasing AppSec overhead. The platform's WAF Copilot further differentiates the solution by introducing predictive response capabilities that automatically generate and deploy custom protection rules within minutes, reducing time-to-exposure by over 90 percent compared to traditional WAF solutions.
This recognition from Frost & Sullivan represents a broader shift in how application security must evolve to address modern threats. As AI continues to influence how systems are built and breached, runtime security is becoming a foundational element of enterprise defense. Miggo's approach to unifying observability, predictive intelligence, and automated enforcement signals where the industry is heading, moving security from reactive to proactive, from static to dynamic, and from siloed detection to continuous protection.