Funding · Enterprise Software & IT

CurlSek raises seed funding for AI security platform

By Startup Enthusiast · 17 January 2026

What they do

CurlSek provides an AI-driven security intelligence platform that shifts cybersecurity from reactive to continuous protection

It raised an undisclosed seed round to scale AI training, hire talent, and expand go-to-market efforts

The platform was born from consulting for fast-scaling startups and now aims to define AI-native security globally

CurlSek was founded by Mohd Sohaib and Rinkish Khera.
The company raised an undisclosed seed round to scale AI training, hire specialized talent, and expand go-to-market efforts.
Funds will be deployed to enhance model accuracy, deepen cloud-native and regulatory-aligned security coverage, and build a team for global expansion.
The short-term goal is to embed seamlessly into CI/CD pipelines and day-to-day operations.
The long-term ambition is to define how AI-native security platforms operate globally, shifting from reactive defense to proactive intelligence.
CurlSek began as a consulting-led initiative embedded in security programs of fast-scaling startups, then transitioned to an AI-first product.

Cybersecurity is a stress-driven industry; AI-led security solutions face skepticism, and customers expect deterministic accuracy.
Early users demanded security insights understandable to business leaders and decision-makers, not just CISOs.
The platform was tested across 500+ open-source labs to validate its approach.

CurlSek offers an AI-driven Security Intelligence Platform that shifts cybersecurity from reactive assessments to continuous intelligence-led protection.
The platform is positioned as a Security Intelligence Layer that continuously interprets risk, prioritizes action, and adapts as environments change.
It focuses on clarity: real risks, why they matter, and what to fix first, combining AI-driven reasoning with domain expertise.
Models are trained on environments used by actual attackers, enabling faster detection of vulnerabilities including zero-day risks.
The platform was tested across 500+ open-source labs.

Enhance model accuracy and deepen cloud-native and regulatory-aligned security coverage.
Build team for global expansion.
Embed seamlessly into CI/CD pipelines and day-to-day operations.
Define how AI-native security platforms operate globally.