Protectt.ai ships certified RASP and trust scoring for Indian BFSI. NonaShield includes RASP as one of nine layers, plus device fingerprinting, agentic AI investigation, and hardware-backed cryptographic evidence — one console instead of a dedicated RASP point solution.
Protectt.ai's own site documents 100+ runtime security controls, code obfuscation, proprietary device/SIM binding (LSAP/SSiD), and an AI-driven Trust Scoring mechanism, with ISO 27001, PCI DSS, ISO 22301 and ISO 42001 certifications and RBI/SEBI/NPCI framework alignment. What isn't publicly documented: device fingerprinting, agentic AI investigation, or hardware-backed cryptographic evidence — proprietary device/SIM binding is a different mechanism from a hardware-rooted, cryptographically signed identity.
Source: protectt.ai/feeds/service/rasp →| Capability | NonaShield | Protectt.ai |
|---|---|---|
| RASP / Runtime Self-Protection | ✓ | ✓ |
| Fraud & Graph Risk Engine | ✓ | ✓ |
| Device Fingerprinting / ID | ✓ | Partial (device/SIM binding) |
| Behavioural Intelligence | ✓ | Behavioural fraud rules, not biometrics specifically |
| Agentic AI for Fraud Investigation | ✓ | — |
| Hardware-Backed Cryptography | ✓ | — |
| Immutable Evidence (Hash-Chained) | ✓ | — |
✓ = documented on the vendor's own site · Amber = adjacent capability with a documented gap · — = not publicly documented, checked against protectt.ai as of the date this page was written.
You need device fingerprinting and hardware-backed cryptographic evidence alongside RASP and trust scoring — not device/SIM binding as the only identity mechanism.
You need certified RASP plus basic trust scoring and device binding for Indian BFSI compliance, and don't need device fingerprinting or hardware-backed cryptographic evidence.
NonaShield is a single SDK integration — RASP and trust scoring come with hardware-backed device identity and signed evidence already attached. Talk to us about your current setup and we'll walk through what moves over.
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