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Inoxoft API Security Case Study
Case Study

Strengthening an AI-Powered Agentic Security Platform With Dedicated Go Developers

AI-powered agentic security platform protecting the entire API lifecycle

Industry:
Cybersecurity
Duration:
2023 - Ongoing
Team:
3 Senior software engineers
Cooperation Model:
Team Extension
Team Extension
Cybersecurity
Agentic Security Graph
Risk
Sensitive
Authentication
Table
Graph
Retail Agent
LLM AWS Bedrock
Managed MCP
FastMCP Server
Internal APIs
Kong Gateway
Legacy Commerce API
Undocumented
Payments Service
PCI DSS scope
Critical risk · 3
Discovery
Discovered APIs4 812
Shadow APIs128
AI agents34
MCP servers12
Behavioral anomaly
Slow data drain detected on /v2/customers · 04:12 UTC
Investigate
Export
Services:
Team Extension
Technologies:
Golang, eBPF (C), Java, Python, bash, k8s (EKS, AKS, GKE)
Compliance Frameworks Supported:
PCI DSS, HIPAA, GDPR, SOX
Industry:
Cybersecurity
Overview

Project Overview

Our client is a cybersecurity company behind one of the leading agentic security platforms, mapping every agent, MCP server, and API in an environment so teams can see what their agents are doing and stop them when they overstep. As a private mid-sized organization, they serve enterprise customers operating APIs at scale.

The platform secures APIs across discovery, posture management, and runtime threat protection, identifying shadow and undocumented APIs, detecting business logic abuse, and responding to advanced attacks in real time.

As enterprises adopt agentic systems, the client has extended that same model to the AI action layer: it maps every agent, MCP server, and API in an environment, so teams can see what their agents are doing and stop them when they overstep. API security is the foundation, and agentic security is where the platform is heading.

Inoxoft has been taking part in building the core of the client's platform since 2023, which is the data collection that feeds it and the agent coverage that extends it. Three Golang engineers work embedded in the client's R&D, sharing the same delivery cadence and codebase as the in-house team. We build our engagement for continuity.

The Problem

The Problem: APIs Move Faster Than the Tools Watching Them

Modern enterprises run on APIs. Customer data, internal services, partner integrations, and AI systems all move through them. But the security stack most companies inherited was built for a different era, when the perimeter was the network. That gap creates distinct problems, and each one is moving fast.

01

API Sprawl That Outpaces Security Visibility

Engineering teams ship new APIs constantly. Many are undocumented, deprecated, but still live, or built outside the security team's view entirely. Traditional tools can only protect what they know exists, and that gap is where most attackers start looking.

02

Business Logic Abuse That Hides Inside Legitimate Traffic

WAFs and network security tools were built to catch known signatures and obvious anomalies. But modern API attacks use authorized credentials, valid request structures, and existing business flows. Without behavioral context, these attacks pass every traditional check.

03

Regulatory Exposure on Every Byte of API Data

PCI DSS, HIPAA, GDPR, and SOX all impose obligations on how sensitive data moves and who can touch it. APIs are now the primary path that data takes, which makes API security a regulatory requirement.

04

AI Agents and MCP Servers as a New Attack Surface

AI agents call APIs autonomously, sometimes with delegated authority. MCP servers expose new endpoints with their own access patterns. Both shift the threat model. The entity making the call may not always be a person, and its behavior is harder to model with rules alone.

“

APIs now carry the bulk of business-critical data. Most security tools weren't built to see them, and even fewer can tell normal traffic apart from business logic abuse. The client learns how each API behaves and catches the moment that behavior turns malicious, and the Inoxoft engineering team has been taking part in building the core of it since 2023.

At a glance

Our Engagement at a Glance

3 Golang engineers
Embedded in the client's R&D since 2023
Scrum delivery
Running on the same cadence as the in-house team
Live production environment
The platform protects enterprise APIs in real time
Compliance
supports PCI DSS, HIPAA, GDPR, and SOX requirements
Capabilities

Inside the Platform

The platform combines capabilities that need to evolve as fast as attackers do. Inoxoft's work sits at the center of it and is the kernel-level traffic collection the whole platform runs on, and the agent and MCP coverage where it's heading next.

01 Continuous API discovery
02 AI-driven behavioral analysis
03 eBPF-based runtime instrumentation
04 Coverage for AI agents and MCP servers
05 Posture management across the API lifecycle
01

Continuous API discovery

The platform identifies every API in an environment, including shadow, undocumented, deprecated, and unreviewed ones. That inventory refreshes continuously as new APIs go live.

The model

How Inoxoft’s Team Extension Works in Deep-Tech Security R&D

Team extension is sometimes treated as interchangeable with outsourcing. In security R&D, it isn't. The work is dense, the stakes are high, and engineers who treat the engagement like a fixed-scope project get filtered out fast.

Here's what makes the model actually work inside the client's environment:

01

Built for moving targets

API security never sits still. New attack patterns, architectures, and traffic types arrive constantly, and the platform has to evolve continuously to keep up. Embedded engineers move with that work as it shifts.

02

Onboarding inside the codebase

Joining a security platform means understanding the code, the threat model behind it, and the conventions the team uses to keep both safe. Inoxoft engineers ramp up inside the client's R&D processes with the same code review standards, secure-by-default conventions, and sprint mechanics.

03

A single cadence

The engineers work inside the client's Scrum process: same backlog, same standups, same release cadence. Everything runs on one track, coordination cost stays near zero, and decisions get made in one room.

04

Backend engineers fluent in Go

The platform is built in Go, and Inoxoft staffs the engagement with engineers who specialize in the language, fluent in its idioms, its concurrency patterns, and the architecture decisions these systems accumulate at scale.

05

Engineers who carry the product context

Three engineers have been on the platform since 2023. That continuity means accumulated product context: what shipped last year, why a design decision was made, and where the edge cases live.

Outcomes

Partnership Outcomes

Our engagement has produced a clear record:

Multi-year continuity since 2023

The same three engineers have been on the platform since the start. In team extension, sustained tenure is the strongest signal of delivery quality; engagements that produce keep going.

Production work at enterprise scale

Inoxoft engineers ship into a production platform protecting API ecosystems for enterprise customers. The work is live, in front of those customers, with the consequences that it brings.

Stable team in a fast-moving market

API security is one of the fastest-shifting areas of cybersecurity, with new attack patterns, architectures, and compliance pressures arriving constantly. The engagement has held a stable team through all of it, with continuous feature delivery throughout.