AI-Driven Mobile AppSec

See every mobile vulnerability. Prove it. Fix it.

Nazar unifies SAST, DAST and SCA into one evidence graph, then uses AI to correlate findings and confirm them at runtime — so you ship with fewer false positives and real proof.

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Trusted building blocks: Android & iOS CI-native Self-hosted / in-region SARIF · SBOM
High Runtime confirmed
Plaintext device ID exfiltrated to a third-party endpoint
Kotlin→.so→Frida→net

Built for banks, fintech and high-assurance teams

Representative segments — placeholder logos, not real customers.

The problem

Mobile AppSec is noisy and unprovable.

  • 01

    Too many disconnected tools

  • 02

    False positives drown real risk

  • 03

    No proof a finding is actually exploitable

  • 04

    Evidence scattered across static, dynamic and dependencies

How it works

From app to confirmed finding

  1. 1

    Connect your app

    Upload an APK or IPA, or plug Nazar straight into your CI pipeline.

  2. 2

    Multi-engine scan

    SAST, DAST and SCA run together in an isolated device lab.

  3. 3

    AI correlation

    Findings from every layer merge into one evidence graph.

  4. 4

    Confirmed results

    Prioritized, runtime-confirmed findings with fix guidance.

One evidence graph

Every layer, stitched into one provable finding

High Runtime confirmed NZR-2031 · CWE-312
99%
confidence
AI + runtime

Device identifier written in plaintext and exfiltrated to a third-party endpoint

DeviceId.kt:42  →  libtelemetry.so::collect()  →  POST analytics.example.com/collect

  1. Source
    Kotlin
  2. Binary
    .so
  3. Runtime
    Frida
  4. Network
    analytics.example.com
Coverage41% of screens exercised
Verify evidence receipt

One finding. Evidence from every layer. Proven reachable.

Capabilities

Why teams choose Nazar.

  • Cross-layer correlation

    Source, binary, runtime and network evidence stitched into a single reachable path — not isolated pattern matches.

  • Runtime confirmation

    Dynamic instrumentation proves a vulnerability actually fires, cutting false positives dramatically.

  • Honest coverage

    Every report states exactly what was verified and what wasn't. Built for auditors and CISOs.

  • AI that cites its evidence

    AI correlates and explains in plain language and always cites the evidence. The deterministic verdict is the floor.

  • CI-native, regression-first

    Baseline plus delta means fast pull-request gating and no regressions between builds.

  • Verifiable evidence receipts

    Each finding ships as a signed, independently verifiable attestation — ideal for regulated and banking environments.

Security & deployment

Your code and secrets, kept safe.

  • Self-hosted or in-region deployment
  • Data-localization ready for Uzbekistan & Central Asia
  • Secrets minimized by default
  • Encrypted evidence with customer-managed keys (BYOK)
  • Isolated, ephemeral analysis sandboxes
  • GitHub
  • GitLab
  • Bitbucket
  • SARIF
  • SBOM/VEX
BYOK · AES-256
In-region · Tashkent
3
scan engines → one evidence graph
up to
70%
fewer false positives*
iOS & Android
full mobile platform coverage
Minutes
to your first confirmed finding

*Illustrative figures. Actual results vary by application, configuration and scan scope.

Pricing

Start open. Scale to assurance.

Open Core

Free
  • Command-line interface (CLI)
  • Core scanners (SAST · SCA)
  • Self-host, your infrastructure
Get the CLI
RECOMMENDED

Enterprise

Let's talk
  • Isolated device lab (DAST)
  • AI correlation & evidence graph
  • Verifiable evidence receipts
  • SSO & priority support
Talk to us

Stop guessing. Start proving.

Bring SAST, DAST and SCA into one evidence graph — and hand your team findings that come with proof.

Request a demo Start a free scan