CyberSolve

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“We didn’t build NeuroID to impress people with AI terminology. We built it to solve the real, frustrating problems that security and identity teams deal with every single day. Behind every access review or remediation effort, there are countless hours spent manually gathering data, validating access, chasing ownership, and ensuring unnecessary privileges are truly removed. These processes are slow, expensive, and often leave security gaps behind. NeuroID changes that. Our goal was simple – automate the hard, nuanced work that organizations usually struggle to scale, while helping them improve security, compliance, and operational efficiency at the same time. And we didn’t stop at modern web applications. NeuroID also supports automation across desktop applications and legacy mainframe environments, because real enterprise challenges still exist there.”  – Javed Beg, VP Solutions ( CyberSolve)
“As the AI Architect behind NeuroID, I poured years of IAM expertise into building something that ships real value, not just a compelling demo. Machine learning and LLMs, yes — but explainable, auditable, cost-aware, and paranoid about security in all the right ways.”Firdaus Fraz, Senior Director (CyberSolve)

The Problem

Many applications don’t support standard IAM integration.

  • No APIs.
  • No connectors.
  • No structured way to automate access.

So teams rely on manual steps:

  • Logging into applications
  • Creating users
  • Assigning roles

This becomes difficult to scale with one request coming at a time.

What this leads to

Many applications don't support standard  IAM integration.

  • Delays in onboarding and provisioning
  • Dependency on specific individuals
  • Higher chances of manual errors
  • Limited visibility into execution

And a growing list of applications outside IAM control.

The Solution

NeuroID automates access the same way a human would. Through the application interface.

It learns from:

  • Videos
  • Screenshots
  • Simple instructions

Once trained, it:

  • Opens the application
  • Performs the required steps
  • Completes the action

Just like a human operator.

How it works

  1. Capture how tasks are performed
    Record or document the steps needed
  2. Train the system
    NeuroID processes this input and prepares execution logic
  3. Trigger automation
    Through IAM tools, APIs, or bulk uploads
  4. Execute actions
    Launches the application and performs tasks
  5. Track results
    Logs and outputs for every execution

What makes it useful

  • No dependency on APIs
    Works even whenxxq applications don’t support integration.
  • Fits into existing IAM
    Can be triggered from tools like SailPoint or similar systems
  • Handles real-world complexity
    Works with legacy, internal, or custom-built applications.
  • Maintains visibility
    Detailed logs for every action performed.

Where teams use NeuroID

  • Legacy application onboarding
  • Internal tools with no APIs
  • Bulk user provisioning
  • Automating repetitive access tasks

What you get

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