Raksh AI

  • SOVEREIGN MOBILE DEFENSE PLATFORM

RAKSH AI

Intelligence that protects every mobile endpoint

RAKSH AI is an AI-driven mobile defense system built to protect Android endpoints without depending on the cloud. It detects behavioral threats, inspects applications and system activity, blocks malicious network communication, and protects user privacy directly on the device.
Designed for enterprise, government, defense, and high-security environments, RAKSH AI delivers real-time mobile threat intelligence while keeping every decision, alert, and forensic record within the device.
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Detection Accuracy

0 %

Response Latency

< 0 ms

Autonomous Ops

0 /7

THREAT SIG · LIVE

RADAR SYNC 100%

SOVEREIGN MOBILE DEFENSE PLATFORM

Intelligence that protects every mobile endpoint

RAKSH AI is an AI-driven mobile defense system built to protect Android endpoints without depending on the cloud. It detects behavioral threats, inspects applications and system activity, blocks malicious network communication, and protects user privacy directly on the device.
Designed for enterprise, government, defense, and high-security environments, RAKSH AI delivers real-time mobile threat intelligence while keeping every decision, alert, and forensic record within the device.
Explore Ecosystem

Detection Accuracy

0 %

Response Latency

< 0 ms

Autonomous Ops

0 /7
  • WHAT IS RAKSH AI?

A sovereign mobile defense system built for offline security

RAKSH AI protects mobile endpoints from modern threats that traditional antivirus tools often miss. Instead of depending only on signatures or cloud lookups, it uses on-device AI, behavioral analytics, static forensics, runtime hardening, SMS analysis, DNS protection, and privacy monitoring to detect and respond to threats in real time.
It is built for environments where mobile devices carry sensitive communication, identity, financial access, operational data, and national-security information. Every detection process runs locally, helping organisations maintain complete control over their data and security operations.

On-Device Intelligence

Runs mobile threat analysis directly on the endpoint, reducing cloud dependency and enabling faster local decisions.

Sovereign Data Protection

Keeps telemetry, alerts, decisions, and forensic records inside the device or controlled infrastructure.

Behavioral Threat Detection

Identifies suspicious app behavior, permission abuse, hidden payloads, network anomalies, and long-term risk patterns.

Mobile Forensics Engine

Inspects APKs, DEX files, native libraries, app behavior, and incident history without uploading sensitive data externally.
  • PLATFORM CAPABILITIES

Mobile defense engineered for high-security environments

Neural Defense & ADI Core

On-device AI inference detects unknown and behavioral threats using local intelligence, feature mapping, phishing detection, and app risk profiling.

Sovereign Firewall

DNS-level interception helps block command-and-control communication before malicious traffic reaches the application layer.

Static & Binary Forensics

Performs local APK, DEX, native library, and binary inspection to identify hidden payloads, obfuscation, risky permissions, and suspicious code behavior.

SMS & Communication Forensics

Detects phishing, scam patterns, SIM-swap indicators, suspicious headers, malicious links, and social-engineering attempts.

Privacy Sentinel

Monitors hidden microphone or camera usage, clipboard hijacking, overlay attacks, accessibility abuse, background sensors, and ransomware-like file activity.

Kernel & Runtime Hardening

Detects rooted devices, hook frameworks, debuggers, emulator environments, signature tampering, SELinux state changes, and runtime manipulation.
  • How RAKSH AI works

From Mobile Event To Autonomous Protection

Every signal is captured, scored, and acted upon locally.

Capture Endpoint Activity

RAKSH AI observes app behavior, network requests, DNS activity, SMS events, file changes, permission updates, and sensor access in real time.

Normalize and Correlate Signals

The system organizes raw mobile events into meaningful security context so different modules can work together instead of operating in isolation.

Score Risk with On-Device Intelligence

Local AI inference, behavioral rules, and forensic engines evaluate whether an event indicates malware, phishing, surveillance, tampering, or network compromise.

Block, Alert, or Harden

When a threat is detected, RAKSH AI can block malicious DNS traffic, raise alerts, protect sensitive functions, enforce runtime defenses, or guide the user through response.

Preserve Evidence

Threat activity is stored in a local forensic timeline with readable incident summaries, allowing security teams to review what happened and why it mattered.
The proposal describes this as a real-time intelligence pipeline where telemetry, neural inference, behavioral rules, risk scoring, verdict generation, and automated response work together on-device.
  • BUSINESS BENEFITS

Measurable Protection For Mobile-First Organisations

Stronger endpoint security without losing data control.

Offline Resilience

Protection continues even when cloud access is unavailable, restricted, or intentionally disabled.

Faster Threat Detection

On-device intelligence reduces dependency on remote scanning and helps identify threats closer to the source.

Improved Data Sovereignty

Sensitive endpoint telemetry, user activity, and forensic records remain within controlled environments.

Reduced SOC Workload

Human-readable alerts, threat scoring, and incident timelines reduce the effort needed to interpret mobile security events.

Stronger Fraud Defense

SMS phishing, SIM-swap indicators, malicious links, overlay abuse, and scam patterns can be identified earlier.

Better Privacy Protection

Hidden camera, microphone, clipboard, accessibility, and background sensor abuse can be surfaced in real time.
Performance and scalability benefits in the proposal include an under-10MB quantized model, event-driven processing, thermal-based throttling, low-battery scan prevention, self-healing monitoring, and scaling from single devices to enterprise fleets.
  • Defense dashboard preview

Command surfaces built for operators

  • Industries & applications

Trusted For High-Sensitivity Mobile Environments

Designed for organisations where mobile endpoints are part of critical operations.

Government & Defense

Supports sovereign, air-gapped mobile defense with runtime hardening, zero-cloud operation, and local data control.

Enterprise Mobile Fleets

Enables behavioral monitoring, policy enforcement, and endpoint-level protection across multiple devices.Border, port, and public safety operations.

Banking & Financial Services

Helps detect SMS fraud, SIM-swap attempts, phishing links, overlay attacks, and mobile identity abuse.

Critical Infrastructure

Protects mobile endpoints used in sensitive operational environments with DNS sovereignty, C2 blocking, and forensic visibility.

SOC & Incident Response Teams

Provides incident timelines, behavioral baselines, local evidence, and readable security summaries for faster investigation.Plant, refinery, and facility monitoring.

Indian Regional Deployments

Supports mobile security adoption for Indian-language users through offline voice interaction and localized assistance.
These industry alignments are based on the proposal’s use-case mapping for enterprise fleets, government and defense, financial services, Indian regional deployments, critical infrastructure, SOC response, and high-security environments.
  • FAQ

Frequently asked questions

RAKSH AI is a fully offline, AI-driven mobile defense system designed to protect Android endpoints through on-device threat detection, behavioral analytics, forensic inspection, privacy monitoring, and runtime hardening.

No. RAKSH AI is designed with a zero-cloud approach. Threat detection, intelligence processing, alerts, and forensic records can remain on-device or within controlled infrastructure.

Traditional antivirus tools often depend on signatures and cloud lookups. RAKSH AI adds behavioral intelligence, DNS-layer defense, static forensics, SMS analysis, privacy monitoring, and runtime protection.

Yes. RAKSH AI uses on-device neural inference, behavioral fingerprinting, feature mapping, phishing detection, entropy analysis, and risk scoring to identify suspicious activity even when a known signature is not available.

The Sovereign Firewall uses DNS-level interception through Android VpnService to identify and block malicious domains and command-and-control communication before traffic reaches the app layer.

Yes. The proposal includes offline voice-controlled security interaction with support for six Indian languages, enabling users to receive alerts and interact with security functions more naturally.

Yes. RAKSH AI is designed for offline and air-gapped operation, making it suitable for government, defense, classified, and high-security deployments.

Yes. RAKSH AI can maintain a 365-day forensic incident timeline with evidence, threat pattern differentiation, readable alerts, severity-based priority, and manual whitelisting.

Yes. RAKSH AI supports enterprise fleet deployment with multi-device protection, centralized SOC visibility, and policy distribution.

RAKSH AI is designed with a lightweight architecture, including an under-10MB quantized AI model, event-driven processing, thermal throttling, and low-battery scan prevention.

  • Reviews

Why People Put Trust In Intprosec

⭐⭐⭐⭐⭐

"RAKSH AI has significantly improved our mobile security posture. The offline threat detection and AI-powered behavioral analysis identify suspicious applications before they become a risk. The deployment was smooth and completely cloud-independent."

⭐⭐⭐⭐☆

"The phishing protection and application risk scoring have reduced mobile security incidents across our organization. The dashboard is intuitive, and real-time alerts help our SOC respond immediately."

⭐⭐⭐⭐⭐

"Unlike traditional MDM solutions, RAKSH AI focuses on actual threats rather than only device management. The AI engine detects abnormal behavior that conventional antivirus products completely miss."

⭐⭐⭐⭐☆

"Data sovereignty was our primary requirement. RAKSH AI met every expectation with its fully on-premise deployment and zero dependency on external cloud services."

⭐⭐⭐⭐⭐

"The behavioral intelligence engine provides excellent visibility into mobile threats. It has become an important part of our endpoint security strategy."

⭐⭐⭐⭐☆

"The product integrates easily into enterprise environments while maintaining high performance on mobile devices. Battery consumption remains minimal, which impressed our users."

  • Get started

Begin The Next Layer Of Mobile Sovereignty

RAKSH AI gives organisations a stronger way to protect Android endpoints, detect modern mobile threats, preserve forensic evidence, and maintain complete data sovereignty. Built for offline resilience and high-security environments, it helps enterprises, government teams, and defense operations protect mobile infrastructure with intelligence that stays on-device.
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