Company's Solutions

Miggo provides the industry’s first Application Detection and Response (ADR) Platform, complemented by another flagship solution, the Miggo WAF Copilot.
While traditional security (SAST/DAST/WAF) focuses on code and perimeters, Miggo secures the Runtime Execution layer-the specific point where modern AI-driven attacks, logic abuse, and prompt injections manifest.

Application Detection and Response The Brain of Runtime Security:
Our ADR platform provides the deep observability and response capabilities required for complex, distributed, and AI-native architectures.
AppDNA (Live Digital Twin): We create a dynamic, runtime map of application logic. This "Digital Twin" identifies exactly how data flows between microservices, APIs, and AI agents, eliminating the blind spots that static analysis tools miss.
DeepTracing™: Using eBPF-powered observability, we capture execution traces in real-time.
This allows us to detect Logic Abuse-where legitimate code is used in malicious sequences (gadget chains)-and block the execution before a breach occurs.
This gives security teams what they’re missing today: defensible runtime proof of what the application is doing, what changed, and why it matters.
The way to fix it comes through the Miggo WAF Copilot.

Miggo WAF Copilot:
The "Shield" for Rapid Defense
Miggo WAF Copilot is our high-impact solution designed to close the “Patch Gap” or the “Window of Exposure" between vulnerability disclosure and patching.
Surgical Virtual Patching: Unlike generic WAF rules that cause false positives, the WAF Copilot uses runtime context to generate surgical, code-aware rules.
These protect the application in minutes, effectively "virtually patching" the vulnerability at the edge.

Automated Lifecycle Management:
It autonomously creates, tests, and validates rules based on actual application behavior, allowing security teams to stop attacks without waiting for developer cycles.
Integration-Native: It augments existing infrastructure (AWS, Cloudflare, Akamai, etc.), transforming static firewalls into intelligent, proactive enforcement points.

Miggo Runtime Defense for AI and Agentic Applications:
Miggo identifies and neutralizes threats unique to AI, such as unauthorized agent actions and indirect prompt injections.
Miggo produces a live, runtime view of agentic flows (e.g., agent → model → tool → database / third party) and surfaces three actionable governance lenses:
Drift: how your AI/application environment is changing over time
Risk: exploitable security exposures tied to real runtime behavior
Compliance: policy and governance violations across AI components

Runtime Mapping of Shadow AI sprawl:
Runtime mapping of AI tools and functionality (including AI services, hosted & 3rd-party LLMs, inference models, and hosted & 3rd-party MCPs)
Blast Radius Analysis: Mapping the potential damage path from an Agent → Tool → Database/Data.

Detect and stop AI and agentic attacks:
Utilize runtime signals to detect OWASP top 10 LLM and Agentic Application attacks.
Expanded DeepTracing™ maps the full runtime chain from user input → model/agent decision → tool calls → data access → output/egress, and provides defensible evidence to safely enforce a response in application or at the edge.

Prominent Case Study

Case Study: Defending Against React2Shell (CVE-2025-55182)

The Challenge:
In early December 2025, the React2Shell vulnerability (CVE-2025-55182) hit the security world like a lightning bolt.
With a CVSS 10.0 severity score, this unauthenticated Remote Code Execution (RCE) flaw in React Server Components allowed attackers to compromise enterprise applications with a single malicious request.
The threat was not theoretical.
Within hours of disclosure, nation-state threat actors began mass-scanning the internet, weaponizing public exploits faster than traditional WAF vendors could issue signatures.
For most organizations, the "window of exposure" was a wide-open door.

The Solution:
Miggo WAF Copilot & ADR: One of our enterprise customers, a major financial services provider, found themselves in the crosshairs.
While their security team saw the news, they faced the classic "panic" cycle: waiting for a vendor patch, testing the update, and hoping their legacy WAF could catch the obfuscated payloads in the meantime.
Instead of manual triage, they activated Miggo WAF Copilot.

Bypass-Proof Virtual Patching:
Miggo’s AI-powered research engine immediately analyzed the React Flight protocol's deserialization flaw.
It generated a "bypass-proof" WAF rule tailored to the specific way SoFi’s applications were constructed.
Comprehensive Coverage (ADR): While the WAF Copilot provided the upfront mitigation at the edge, Miggo’s Application Detection and Response (ADR) sensors provided deep runtime visibility.
This ensured that even if a mutated exploit managed to bypass the perimeter, any suspicious execution-like a spawned reverse shell or an unauthorized /etc/passwd read-would be blocked in real-time.

The Impact:
Downgrading the Crisis: The customer’s feedback was immediate:
“What surprised us with Miggo is how easy and fast it is to deploy WAF rules for new CVEs. When React2Shell hit,
we used Miggo’s bypass-proof rule to deploy the mitigation and downgrade the security incident immediately.”
By leveraging Miggo, the security team transformed a high-stress emergency into a manageable workflow.
They successfully neutralized the threat within minutes, allowing their developers to patch the underlying code in a proper, stable cycle rather than reacting in a panic.

This case study proves that when "AI-able" adversaries operate in hours, the only viable defense is one that adapts at the same speed.
Miggo reduced the exposure window by over 99%, shifting the organization from a reactive posture to a position of resilient, proactive defense.