Miggo

Thank you!

You're subscribed!

Oops! Something went wrong while submitting the form.

Application Detection & Response (ADR) protects applications from within, monitoring runtime behavior to spot and stop threats in real time. Unlike WAFs or EDR, ADR closes the “patch gap,” blocks zero-days, and reduces false positives, giving organizations proactive, adaptive defense as attackers move faster with automation and AI. By applying AI to defense as well, ADR learns normal behavior, adapts in real time, and stays effective even against novel or automated attack techniques.Cloud native applications are built with microservices, containers, and Kubernetes to deliver scalability and agility. While they power modern industries, their dynamic and distributed nature creates new security challenges such as ephemeral workloads, complexity, and AI-driven attacks. Traditional defenses aren’t enough; runtime protection is essential. Miggo’s runtime-first platform provides visibility, reachability analysis, DeepTracing™, shielding, and AI security to protect cloud native apps in real time.

What is a Cloud Native Application?

A cloud native application is software that is designed and optimized to run in modern cloud environments. Instead of being deployed as a single, tightly integrated program, cloud native apps are typically broken down into smaller services that run in containers and are orchestrated by platforms like Kubernetes.

This design makes them highly scalable, portable, and resilient. Development teams can push frequent updates, scale specific parts of the application on demand, and quickly adapt to changing business needs. Cloud native apps are the backbone of today’s digital-first businesses, powering industries from financial services to healthcare to SaaS.

What Are the Key Characteristics of Cloud Native Applications?

Cloud native applications share five core traits that set them apart from traditional monolithic software:

Microservices: Functions are split into independent services that communicate via APIs. This modularity allows teams to innovate faster and scale components independently.
Containers: Lightweight, portable execution environments ensure applications run consistently across development, testing, and production.
Dynamic orchestration: Platforms such as Kubernetes automate scaling, failover, and resource allocation, making workloads elastic and resilient.
DevOps automation: CI/CD pipelines deliver rapid, reliable updates with less human intervention, reducing release cycles from months to days or even hours.
Resilience: Applications are built with redundancy and fault tolerance, ensuring uptime even in the face of component failures.

These characteristics explain why cloud native applications dominate digital transformation initiatives: they deliver the agility enterprises need to stay competitive.

What Are Examples of Cloud Native Applications?

Real-world examples help illustrate the versatility of cloud native architecture:

E-commerce platforms: Retailers like Amazon deploy microservices for payment processing, product catalogs, and customer recommendations that scale independently during seasonal peaks.
Banking and fintech apps: Financial services firms, including PayPal, use containerized services for fraud detection, transaction processing, and real-time customer notifications.
Healthcare applications: Epic Systems and other providers adopt cloud native apps to manage patient records securely and support telemedicine at scale.
SaaS companies: Many SaaS vendors, including Salesforce, operate on Kubernetes, enabling seamless global deployment and rapid feature delivery.

These examples show why organizations across industries are embracing cloud native, and why protecting them at runtime is critical.

What is the Difference Between Traditional and Cloud Native Applications?

Traditional applications and cloud native applications operate on fundamentally different models. These differences create both opportunities for agility and new challenges for security teams. The table below highlights the contrasts that matter most when designing modern protection strategies.

Feature	Traditional Application	Cloud Native Application
Architecture	Monolithic	Microservices, APIs
Deployment	Dedicated servers	Containers, Kubernetes
Scalability	Vertical (add hardware)	Horizontal (add instances)
Release Cycle	Quarterly/annual updates	Continuous delivery (CI/CD)
Resilience	Limited failover	Built-in redundancy and healing
Security Approach	Perimeter, network firewalls	Runtime, workload protection

Feature:
Architecture

Traditional Application:
Monolithic

Cloud Native Application:
Microservices, APIs

Feature:
Deployment

Traditional Application:
Dedicated servers

Cloud Native Application:
Containers, Kubernetes

Feature:
Scalability

Traditional Application:
Vertical (add hardware)

Cloud Native Application:
Horizontal (add instances)

Feature:
Release Cycle

Traditional Application:
Quarterly/annual updates

Cloud Native Application:
Continuous delivery (CI/CD)

Feature:
Resilience

Traditional Application:
Limited failover

Cloud Native Application:
Built-in redundancy and healing

Feature:
Security Approach

Traditional Application:
Perimeter, network firewalls

Cloud Native Application:
Runtime, workload protection

What Security Challenges Do Cloud Native Applications Create?

Ephemeral Workloads

Cloud native applications rely on short-lived containers and pods that can be spun up or torn down in seconds. This speed and flexibility improve efficiency, but they also create challenges for visibility and forensics. Attackers may exploit these transient workloads and disappear before traditional monitoring tools detect the activity.

Increased Complexity

Thousands of microservices, APIs, and third-party dependencies operate simultaneously in cloud native environments. Each interaction becomes a potential attack vector, multiplying the number of risks that security teams must track. This interconnectedness makes it easy for attackers to chain vulnerabilities together in ways that are hard to anticipate.

Shared Responsibility

In the cloud native model, security is no longer the sole domain of IT or security specialists. Developers, DevOps engineers, operations teams, and even third-party cloud providers may share responsibility for protecting workloads. Without clear accountability, gaps can emerge between teams, leaving applications exposed to misconfigurations or overlooked vulnerabilities.

Dynamic Environments

Cloud native systems are in constant motion, with updates, scaling, and configuration changes happening in real time. This dynamism makes static security controls or perimeter defenses insufficient. Security solutions must adapt as quickly as the environment itself to remain effective.

AI-Driven Adversaries

Attackers are increasingly adopting automation and artificial intelligence to accelerate their campaigns. These tools can rapidly scan for misconfigurations, exploit APIs, and escalate privileges in cloud native environments. Without runtime protection, organizations are at risk of falling behind adversaries that move faster than traditional defenses can respond.

How Are Cloud Native Applications Secured?

Securing cloud native applications requires a multi-layered approach that spans development, infrastructure, and runtime. No single control is enough, as each stage of the lifecycle introduces its own risks that must be addressed.

Shift-Left Testing

Security starts early with “shift-left” practices. Static application security testing (SAST), software composition analysis (SCA), and dependency checks help developers identify vulnerabilities before code reaches production. By embedding these scans into CI/CD pipelines, teams can reduce the number of flaws that make it into live environments.

Infrastructure Hardening

Because cloud native applications rely on containers, orchestration platforms, and cloud accounts, misconfigurations can quickly become high-risk exposures. Hardening involves securing container images, tightening Kubernetes cluster policies, enforcing least privilege for cloud roles, and applying regular patching. This reduces the likelihood of attackers exploiting weak infrastructure as an entry point.

Continuous Monitoring

Even with strong preventative measures, ongoing visibility is essential. Observability platforms track logs, metrics, and traces to detect anomalies in real time. This monitoring helps teams spot unusual behavior, such as unexpected traffic patterns or abnormal service interactions, that may indicate early signs of compromise.

Runtime Protection

The most critical layer is runtime protection. Security solutions embedded into the live application environment can detect and respond to threats as they occur, from code injection and API abuse to privilege escalation and malicious lateral movement. Runtime security ensures that even if earlier defenses fail, active exploits can be isolated and neutralized before they cause damage.

How Does Miggo Protect Cloud Native Applications?

Miggo was purpose-built with a runtime-first approach to cloud native security. Unlike traditional tools that sit outside the application or focus only on code scans, Miggo embeds protection directly into runtime environments, where real threats happen.

Here’s how Miggo protects cloud native apps:

Visibility: Lightweight, agentless observability that shows what applications are doing in real time, without disrupting developers.
Reachability analysis: Identifies vulnerabilities that can actually be reached and exploited, cutting through noise and reducing alert fatigue.
DeepTracing™: Maps live execution flows, tracking anomalies such as API misuse, privilege escalation, or abnormal data access. Detection is powered by Miggo’s combined eBPF–OTel sensor, which correlates kernel-level activity with high-fidelity application telemetry to uncover attacks as they unfold.
Runtime response: When an attack is detected, Miggo can stop execution in production in real time, isolating malicious sessions or terminating compromised processes to prevent lateral movement.
Attack-path shielding: Through Miggo’s WAF Copilot, active shielding blocks attack paths before they reach the application, combining runtime intelligence with adaptive rules for continuous protection.
AI security: Monitors model behavior and prompt interactions to stop adversarial manipulations in AI-driven environments.

By combining observability, prioritization, and shielding, Miggo ensures that organizations can safely harness the agility and scale of cloud native applications without exposing themselves to unchecked risks.

Reach out to our team to learn how our solutions can provide the visibility and control you need to secure your data against hidden threats.

<script src="https://cdn.jsdelivr.net/npm/gsap@3.12.5/dist/gsap.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/gsap@3.12.5/dist/Flip.min.js"></script>

<script>
  document.addEventListener("DOMContentLoaded", (event) => {
    gsap.registerPlugin(Flip);
    const state = Flip.getState("");
    const element = document.querySelector("");
    element.classList.toggle("");
    Flip.from(state, {
      duration: 0,
      ease: "none",
      absolute: true,
    });
  });
</script>

<script src="https://cdn.jsdelivr.net/npm/gsap@3.12.5/dist/gsap.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/gsap@3.12.5/dist/Flip.min.js"></script>

<script>
  document.addEventListener("DOMContentLoaded", (event) => {
    gsap.registerPlugin(Flip);
    const state = Flip.getState("");
    const element = document.querySelector("");
    element.classList.toggle("");
    Flip.from(state, {
      duration: 0,
      ease: "none",
      absolute: true,
    });
  });
</script>

Cloud Native Application

TL;DR

What is a Cloud Native Application?

What Are the Key Characteristics of Cloud Native Applications?

What Are Examples of Cloud Native Applications?

What is the Difference Between Traditional and Cloud Native Applications?

What Security Challenges Do Cloud Native Applications Create?

Ephemeral Workloads

Increased Complexity

Shared Responsibility

Dynamic Environments

AI-Driven Adversaries

How Are Cloud Native Applications Secured?

Shift-Left Testing

Infrastructure Hardening

Continuous Monitoring

Runtime Protection

How Does Miggo Protect Cloud Native Applications?

Continue Reading

AI Application Security

AI Runtime Security

Reachability Analysis

eBPF

Zero Day

The ABCs of Application Runtime Security

Cloud Native Application

Preemptive Exposure Management

Application Detection & Response (ADR)

Detect and Respond To Threats Faster.