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Test → Protect

AI-Native RASP Security India — Block Zero-Day Attacks at Runtime

VAPT finds the holes. RASP blocks the exploits — from inside your app, in real-time.

India's first server-side RASP. Your penetration test report auto-generates runtime protection rules.

<1%performance overhead
~0%false positive rate
12languages & platforms
Freemonitor mode
Free monitor modeNo code changes< 1% overheadNode · Java · Python · PHP · .NET · Go · Ruby · Android · iOS · Lambda · K8s · Rust

RASP (Runtime Application Self-Protection) embeds security controls directly into your application so it can detect and block attacks in real time — from inside the running process. Unlike WAFs that sit at the network edge, RASP sees the full execution context, making it far harder to bypass. Bachao.AI assesses your RASP readiness and handles integration.

What RASP blocks — from inside your app

Six attack categories that WAFs consistently miss. RASP catches them at the execution point.

SQL Injection Blocking

Tracks tainted data from HTTP parameters through string operations into SQL execution sinks. If user input changes the query's AST structure, RASP blocks it — zero false positives.

Deserialization Defense

Monitors what happens during deserialization. If a deserialized object triggers process execution, file writes, or known gadget chain classes — blocked before damage occurs.

SSRF Prevention

Hooks HTTP client libraries, resolves DNS before connection, and blocks requests to internal/private IP ranges — even after DNS rebinding attempts. Cloud metadata theft stopped.

Command Injection

Examines whether HTTP request data appears in arguments to process execution functions. Stack trace analysis identifies if the path came through expected code or an exploitation chain.

Virtual Patching

When your VAPT report finds a vulnerability, RASP auto-generates a protection rule — blocking exploitation while your team writes the fix. No code changes needed.

Zero-Day Protection

Behavior-based detection doesn't need CVE signatures. If tainted input causes abnormal execution — JNDI lookups, unexpected class loading, file traversal — it's blocked automatically.

Language & platform coverage

RASP agents for every language, platform, and environment — from web backends to mobile apps, serverless functions, and containers.

Node.js

Available

Module shimming via require-in-the-middle. Hooks pg.Client.query, child_process.exec, fs operations. AsyncLocalStorage for request context. Supports Express, Fastify, NestJS.

Java

Available

JVM instrumentation via -javaagent. Hooks Statement.execute(), ProcessBuilder, JNDI lookups. Supports Java 8–21, Spring Boot, Quarkus, Jakarta EE.

Python

Available

sys.meta_path import hooks + monkey patching. Covers psycopg2, subprocess, Django, Flask, FastAPI (WSGI/ASGI). Supports Python 3.9+.

PHP

Available

Native C extension hooking into the Zend engine's internal function table. Loaded via php.ini. Covers mysqli, PDO, exec, system calls. Laravel & WordPress compatible.

.NET / C#

Available

CLR Profiling API hooks. Covers ADO.NET, Entity Framework, Process.Start, HttpClient. Supports ASP.NET Core on .NET 6–8.

Go

Available

eBPF-based instrumentation — no code changes, no recompile. Hooks database/sql, os/exec, net/http. Supports Go 1.20+ on Linux.

Ruby

Available

TracePoint + Module#prepend hooks. Covers ActiveRecord, Net::HTTP, Kernel#system. Rails and Sinatra compatible. Supports Ruby 3.0+.

Android (Kotlin/Java)

Available

APK bytecode instrumentation via Gradle plugin. Hooks SQLiteDatabase, Runtime.exec, WebView. No device root required.

iOS (Swift/ObjC)

Available

Dylib injection via LLVM instrumentation at build time. Hooks CoreData, NSURLSession, NSFileManager. Compatible with Xcode 15+.

AWS Lambda

Available

Lambda layer wrapping the runtime handler. Supports Node.js and Python runtimes. Hooks DB drivers, exec calls, and outbound HTTP — zero cold-start impact.

Docker / Kubernetes

Available

Sidecar container model — no app changes needed. eBPF-based syscall interception at the container boundary. Works with any language runtime.

Rust

Available

Compile-time instrumentation via procedural macros + eBPF runtime fallback. Hooks sqlx, tokio::process, reqwest. Supports Axum and Actix-Web.

Go and .NET support on the roadmap. eBPF-based kernel-level monitoring is language-agnostic.

WAF + traditional security vs Bachao.AI RASP

WAFs guard the perimeter. RASP guards the application itself.

 WAF / TraditionalBachao.AI RASP
Detection modelPattern matching (signatures)Behavior analysis (taint tracking)
False positive rate5–30% (WAF), varies (manual)Near-zero (validates at execution point)
Zero-day protectionNone (needs signature update)Built-in (behavior-based, no CVE required)
DeploymentNetwork perimeter (WAF)Inside the app runtime (agent)
DPDP mappingNot includedAuto-mapped to DPDP Act safeguards
PT → Protection linkManual remediation onlyVAPT findings auto-generate RASP rules
CostEnterprise subscription (Indian vendors)Significantly lower — see pricing

Breach prevention ROI — the DPDP context

Under India’s DPDP Act 2023, a single reportable data breach can draw penalties of up to ₹250 crore — on top of mandatory notification to the Data Protection Board and every affected user. RASP changes that math: by blocking exploit attempts at runtime, inside the application, it stops the breach before data ever leaves — so the most expensive DPDP outcome never starts. One prevented incident typically outweighs years of runtime-protection cost.

Incident response time vs. manual detection

Industry benchmarks put the mean time to identify a breach at roughly 200 days, with weeks more to contain (IBM Cost of a Data Breach). RASP collapses that to real time: it detects and blocks the malicious request at the execution point in milliseconds — no SOC triage, no waiting on logs. Faster containment means lower breach cost and readiness for the DPDP Act’s tight breach-notification window.

How RASP works

Four stages of runtime protection — from instrumentation to blocking.

1INSTRUMENT

Lightweight agent registers hooks at every security-critical execution point — database queries, file I/O, process execution, network connections, deserialization.

2TRACK

Taint tracking follows user input from HTTP request through string operations, transformations, and encoding — all the way to dangerous function sinks.

3DETECT

When tainted data reaches a sensitive function, AI analyzes whether it changes the expected behavior — query structure, file path, command arguments — and flags anomalies.

4BLOCK

Malicious operations are blocked in-process before execution completes. The request is rejected with a safe error. Legitimate traffic passes through untouched.

Test → Protect workflow: Every vulnerability found by our VAPT scanner automatically generates a RASP protection rule. Your app is shielded in minutes — while your team schedules the fix for the next sprint.

What makes Bachao.AI an AI-native RASP?

Traditional RASP and WAFs rely on static signatures that security analysts maintain manually. Bachao.AI replaces that entire workflow with AI — making runtime protection more accurate, more reliable, and a fraction of the cost.

Better accuracy
~0% false positives

Traditional

WAFs flag 15–30% legitimate traffic as attacks — blocking real users

Bachao.AI AI-native

AI validates intent at the execution point. If tainted input doesn't change query structure, it passes. No false blocks.

More reliable
Zero-day coverage

Traditional

Traditional RASP needs signature updates for every new CVE — always one step behind

Bachao.AI AI-native

AI behavioural models detect attack patterns without signatures. Log4Shell, SpringShell, and the next zero-day — blocked automatically.

Much cheaper
No analyst overhead

Traditional

Rule-based RASP requires a dedicated security team to write, tune, and maintain rules — substantial annual analyst cost

Bachao.AI AI-native

AI learns your app's normal execution baseline and flags deviations automatically. No manual rule-writing. No ongoing analyst hours.

How AI replaces signature-based detection

Traditional RASP vendors ship a database of known attack signatures — SQL injection patterns, known JNDI strings, deserialization gadget chains. Every new CVE requires an analyst to write a new signature, test it for false positives, and deploy it. This creates a window of exposure between disclosure and patch that attackers actively exploit.

Bachao.AI uses taint-tracking AI instead. The agent observes how your application normally processes data — which user inputs reach which database functions, what process arguments look like in production, how HTTP responses are constructed. This baseline is learned during monitor mode, which is free.

When an attacker sends a crafted payload — even a brand new zero-day — the AI detects that user-controlled input is changing the semantic structure of a database query or spawning an unexpected process. It doesn't need to recognise the specific payload. It recognises abnormal execution, which is a universal property of every injection attack ever written.

Why AI-native RASP costs dramatically less

Enterprise RASP deployments at Indusface, Protectt.ai, and international vendors like Sqreen (now Datadog) carry enterprise subscription pricing — and that's before you hire the security engineer to manage them. Rule-based systems need constant tuning: reduce sensitivity and you miss attacks; increase it and you block legitimate users.

AI eliminates the tuning cycle entirely. The model self-calibrates to your application's behaviour within 24–48 hours of monitor mode. Once enabled, it maintains near-zero false positives without human intervention. For Indian SMBs and fintechs that cannot afford a dedicated AppSec team, this is the difference between having runtime protection and not having it at all.

According to DSCI's 2024 India Cybersecurity Report, 73% of Indian SMBs have no runtime application security. The primary reason cited: cost and complexity of deployment. Bachao.AI's AI-native approach addresses both — free monitor mode, 10-minute deployment, no analyst required.

DPDP Act, CERT-In, and the AI advantage for Indian businesses

India's Digital Personal Data Protection Act 2023 requires organisations processing personal data to implement “reasonable security safeguards.” CERT-In's 2022 directive additionally mandates incident reporting within 6 hours of detection. Traditional perimeter controls (firewalls, WAFs) are no longer sufficient to demonstrate compliance.

AI-native RASP provides a continuous, logged record of every attack attempt and block decision — with timestamps, attack type, source IP, and the specific function that was targeted. This audit trail is exactly what CERT-In incident reports require and what DPDP Act auditors look for when assessing “reasonable security.” Bachao.AI auto-generates DPDP compliance mapping from RASP telemetry — no manual documentation needed.

73%
Indian SMBs with no runtime security
DSCI 2024
6 hrs
CERT-In mandatory incident reporting window
CERT-In 2022
₹250 Cr
Max DPDP Act penalty per breach
MEITY 2023
10 min
Bachao.AI RASP deployment time
Bachao.AI

Monitor mode is free. Blocking mode is worth every rupee.

Start in monitor mode to see attacks hitting your app. Upgrade to block them.

Free Monitor
Free
  • 1 application covered
  • RASP agent in monitor-only mode
  • Attack detection alerts via email
  • Monthly VAPT scan summary
  • Dashboard with attack analytics
Upgrade to start blocking attacks
Starter + Pro
Starter & Pro
  • Full RASP blocking mode
  • VAPT findings → auto RASP rules
  • Virtual patching (no code changes)
  • DPDP + PCI-DSS compliance reports
  • SIEM integration (Pro)
  • Up to 3 applications (Pro)

Why Bachao.AI — vs WAF-only approaches

WAFs guard the perimeter. RASP guards execution. Zero-days bypass WAF signatures — they don't bypass taint tracking.

FeatureWAF-only approachBachao.AI RASP
Detection modelSignature / pattern matching at perimeterTaint tracking at execution point — inside the app
Zero-day coverageNone — needs signature update per CVEBuilt-in — detects abnormal execution universally
False positive rate5-30% of legitimate traffic blockedNear-zero — validates intent before blocking
VAPT findings integrationManual WAF rule creationVAPT findings auto-generate RASP protection rules
CostEnterprise subscription — Indian vendorsFree monitor mode · scope-based blocking

Scan your web app for these vulnerabilities — free → bachao.ai/vapt

Why Bachao.AI

Start free. Scale when the risk is real.

Every RASP Protection engagement is scoped to your actual attack surface — no flat subscription that pretends every project is the same. Our automated approach typically costs materially less than traditional VAPT providers for equivalent coverage.

Start with a free scan → see your risk profile → discuss scope → get a quote that fits your project.

Starter

For SMEs and startups who need a credible security report for their board or compliance checklist.

  • Full findings with remediation steps
  • OWASP Top 10 mapping
  • HTML report, free once domain verified
  • PDF + verifiable Certificate of VAPT — paid add-on
  • Basic CERT-In compliance mapping
Book Free Scan →
Most Popular

Professional

For Series A+ companies and NBFCs who need continuous monitoring and a DPDP / CERT-In compliant report.

  • Everything in Starter
  • Authenticated / grey-box scanning
  • API endpoint testing
  • DPDP Act compliance report
  • Weekly automated rescans
  • WhatsApp + email alerts
Schedule a Call →

Enterprise

For large organisations and CISOs who need full-scope testing and a board-ready compliance audit trail.

  • Everything in Professional
  • White / grey / black-box options
  • Org-wide scope, unlimited assets
  • Custom framework mapping (RBI, SEBI, ISO 27001)
  • CISO dashboard + multi-project view
  • Dedicated review call each quarter
Book a Demo →

Scope discussed on a free 15-min call · No commitment required

Compliance-ready

RASP is explicitly recommended by major security frameworks.

DPDP Act 2023

"Reasonable security safeguards" — runtime protection demonstrates proactive defense beyond perimeter controls.

PCI-DSS v4.0

Sections 9.1, 10.2a, 10.2b explicitly recommend RASP as a runtime security control for payment applications.

NIST 800-53

Control SI-7(17) includes RASP as a recommended integrity verification and runtime protection mechanism.

RBI IT Framework

Zero Trust Architecture and continuous monitoring mandates for payment systems — RASP fulfills runtime monitoring requirements.

What others charge for RASP

Indian WAF/RASP platforms use enterprise subscription pricing. Bachao.AI is pay-per-use — materially less — with free monitor mode.

VendorPriceBillingSource
Protectt.ai (mobile RASP)Enterprise licenseannualprotectt.ai
Indusface AppTrana (WAF+RASP)Annual subscriptionper appindusface.com
CyberNX (managed WAF)Annual subscriptionper appcybernx.com
Bachao.AIFree monitor · affordable blockingper app/month

Prices indicative — actual quote scoped on a 30-minute call. No subscription, no hidden fees. Protectt.ai (India) is mobile-only RASP — not a server-side competitor.

Technical FAQ

The questions your CTO will ask about RASP.

What is RASP protection and how does it work?

RASP (Runtime Application Self-Protection) is a security technology that runs inside your application and monitors execution in real time. Unlike a WAF that sits at the network perimeter, RASP instruments your app's runtime — hooks into database calls, process execution, file I/O, and HTTP operations. When user input reaches a dangerous function (e.g., a SQL query) and changes its expected behaviour, RASP blocks the operation before it executes. Bachao.AI's AI-native RASP uses taint tracking and behavioural analysis — no CVE signatures required.

RASP vs WAF — which is better for Indian applications?

WAFs inspect HTTP traffic at the perimeter using pattern matching. RASP runs inside your application and sees actual code execution. A WAF might block 'OR 1=1' in any form field — including a blog post about SQL (false positive). RASP only blocks it when tainted input actually reaches a SQL execution sink. For Indian SMBs and fintechs dealing with DPDP Act compliance, RASP provides stronger runtime evidence of 'reasonable security safeguards' than a WAF alone. Best practice: use both.

Does RASP slow down application performance?

Bachao.AI RASP adds under 1% CPU overhead for eBPF-based monitoring. Full application-layer instrumentation with taint tracking adds 2–5% — comparable to APM agents like Datadog or New Relic. In monitor mode (default), RASP only observes and alerts — near-zero runtime impact. Blocking mode can be enabled per-rule, so you roll out protection gradually. Most Indian engineering teams don't notice the difference in production traffic.

How does AI make RASP more accurate and less expensive?

Traditional RASP relies on hand-written rules and CVE signatures — requiring a security analyst to update them after every new vulnerability disclosure. Bachao.AI's AI models learn your application's normal execution patterns during monitor mode. Deviations — unexpected query structures, anomalous process invocations, unusual class loading — are flagged automatically without manual rule authoring. This eliminates the substantial annual analyst overhead that enterprise RASP vendors bill separately, and provides zero-day coverage that signature-based tools cannot match.

Which programming languages does Bachao.AI RASP support?

Node.js, Java, Python, PHP, .NET/C#, Go, Ruby, Android (Kotlin/Java), iOS (Swift/ObjC), AWS Lambda, Docker/Kubernetes, and Rust are all supported today. Coverage spans Express, Spring Boot, Django, Flask, Laravel, ASP.NET Core, and more. eBPF-based kernel-level monitoring provides language-agnostic coverage as a fallback.

How does RASP integrate with VAPT testing?

When our VAPT scanner finds a vulnerability — e.g., SQL injection on /api/users?id= — it auto-generates a RASP protection rule targeting that specific endpoint and attack vector. The rule deploys to your RASP agent within minutes, blocking exploitation while your engineering team schedules the code fix. This Test → Protect loop is unique to Bachao.AI: no other Indian vendor connects VAPT findings to runtime protection automatically.

Where is RASP data processed — India or abroad?

RASP agents run entirely inside your infrastructure — Bachao.AI never sees your application data or user requests. Only metadata (blocked attack type, rule match counts, anomaly scores) is transmitted to the Bachao.AI dashboard, stored on Indian servers encrypted at rest (AES-256) and in transit (TLS 1.3). This data residency model satisfies DPDP Act Section 8(4) requirements for reasonable security safeguards.

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