We turn fragmented security signals into a clear picture of what is exposed, what matters, and what to fix first. One security context, across the two attack surfaces every organisation now has: the enterprise estate and its AI.
Every organisation can see its real exposure in business terms, and prove what it did about it.
Build the context layer that makes the security tools an organisation already owns add up to one decision: what to fix first, and who owns it.
Your scanners, cloud tools and AI services stay where they are. Prak Knit reads what they produce and adds the context they lack: which business service a finding touches, whether it is reachable, and who owns the fix.
Finding more weaknesses isn't the problem anymore. We measure ourselves by how few items reach your queue and how clearly each one is owned.
Every risk score breaks down into the inputs behind it: severity, exploitability, exposure, business criticality. No black box between a finding and a board number.
Read-only, agentless connections to the tools you already run. Nothing to rip out. If you leave, your tools still work exactly as they did.
SaaS, on-premise or fully air-gapped. Strict per-tenant data isolation and a tamper-evident audit trail. Your data is never used to train models.
Marked plainly, so you know before you ask. Anything marked available can be shown to you in a live console on your own data.
| Capability | Status | Notes |
|---|---|---|
| Cross-tool deduplication and app / owner mapping | Available | Findings from every source land in one queue, mapped to an application and business unit |
| Explainable risk scoring and board view | Available | Klair Vu |
| AI service discovery and AI risk assessment | Available | AI-Interceptor |
| Agent capability graph and inline enforcement | Partial | Built and tested, rolling out to customer deployments |
| On-premise and air-gapped deployment | Available | Docker bundle with offline image export |
| Indian regulatory mappings (RBI, SEBI, CERT-In, DPDP) | Partial | RBI framework available; the rest are on the roadmap. Detail on the regulatory page |
| SaaS hosted in India | Roadmap | Until then, on-premise gives full in-country control |
Three founders, three disciplines: the product has to be right, it has to reach the people who need it, and the company has to deliver on what it promises.
More than 22 years in enterprise architecture and security. Kapil leads product, architecture and security engineering across Klair Vu and AI-Interceptor.
More than 22 years at Airtel, Telenor and Reliance Jio. Nikhil leads go-to-market, channel partnerships and enterprise outreach.
Sweta leads operations and marketing. She brings experience of regulated domains to how Prak Knit runs, communicates and delivers.
Product capability + commercial reach + operating discipline.
Klair Vu is built multi-tenant from the ground up, with strict per-tenant data isolation. One team can run exposure management for many clients from one console, with a separate board view for each client.
Our first customers are regulated Indian institutions: banks, co-operative banks, NBFCs and the companies that serve them. We start from what their regulators require, then generalise. See how the product lines up with CERT-In, RBI, SEBI and DPDP.
A 45-minute executive session on your own estate. We reply within one business day.
sales@prakknit.com · support@prakknit.com