CyberSolve

AI for co-pilot_CyberSolve
“As the AI Architect behind SafeAccessCopilot, my favorite realization is that IAM is fundamentally a math problem — and once you see it that way, rules, statistics, ML, and LLMs become powerful tools to solve it properly. The result is a copilot that doesn’t just surface recommendations, but explains them with risk scores, confidence levels, and reasoning that access requesters, approvers, reviewers, and auditors can actually trust.” – Firdaus Fraz, Senior Director (CyberSolve)
“We have met many organizations that already own an IGA platform, yet their users still feel like passengers trying to fly through turbulence without a co-pilot. Reviewers are searching for a needle in a haystack during access reviews, requestors are unsure what access they should even ask for, and approvers are often so worried about the impact of a wrong decision that the safest option becomes the infamous rubber stamp. It would feel like taking a flight but navigating turbulence every single day. That is exactly why we built SafeAccessCopilot, skilled in flying an Agentic AI-powered airline for identity operations – one that helps organizations and end users fly smoothly understanding context, taking guided decisions landing safely and efficiently. And here is the fun part — we would love to demo in our labs how SafeAccessCopilot can not only help you fly better with your existing IGA platform, but in some scenarios, even land your flight safely at a ‘zero-license airport’ where you may not need a traditional or SaaS-based IGA product at all.” – Javed Beg, Head of Innovation (CyberSolve)

The Problem

Access requests and reviews are often unclear.
Users:

  • Don’t know what to request
  • use generic descriptions

Reviewers:

  • Don’t know what to approve
  • Rely on guesswork or routine

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

What this leads to

  • Back-and-forth communication
  • Approval fatigue
  • Risk of incorrect access decisions

The Solution

Safe Access Copilot brings clarity to both sides.

For users:

  • Helps describe access needs in simple terms

For reviewers:

  • Highlights what needs attention
  • Explains why access is recommended or risky

How it works

  1. User submits request
    Using simple language
  2. Copilot interprets intent
    Maps it to relevant access
  3. Reviewer gets context
    With explanations and risk indicators
  4. Decision is made
    Faster and with better clarity

What makes it useful

  • Reduces confusion
    Clear inputs and outputs for both users and reviewers.
  • Improves decision quality
    Focus on relevant access and risk.
  • Saves time
    Less back-and-forth.
  • Better user experience
    Simplifies how access is requested and reviewed

Where teams use Safe Access Copilot

  • Access request workflows
  • Access review campaigns
  • Large-scale IAM environments

What you get

Book A Demo