Loading…
Loading…
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.
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.
Six attack categories that WAFs consistently miss. RASP catches them at the execution point.
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.
Monitors what happens during deserialization. If a deserialized object triggers process execution, file writes, or known gadget chain classes — blocked before damage occurs.
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.
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.
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.
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.
RASP agents for every language, platform, and environment — from web backends to mobile apps, serverless functions, and containers.
Module shimming via require-in-the-middle. Hooks pg.Client.query, child_process.exec, fs operations. AsyncLocalStorage for request context. Supports Express, Fastify, NestJS.
JVM instrumentation via -javaagent. Hooks Statement.execute(), ProcessBuilder, JNDI lookups. Supports Java 8–21, Spring Boot, Quarkus, Jakarta EE.
sys.meta_path import hooks + monkey patching. Covers psycopg2, subprocess, Django, Flask, FastAPI (WSGI/ASGI). Supports Python 3.9+.
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.
CLR Profiling API hooks. Covers ADO.NET, Entity Framework, Process.Start, HttpClient. Supports ASP.NET Core on .NET 6–8.
eBPF-based instrumentation — no code changes, no recompile. Hooks database/sql, os/exec, net/http. Supports Go 1.20+ on Linux.
TracePoint + Module#prepend hooks. Covers ActiveRecord, Net::HTTP, Kernel#system. Rails and Sinatra compatible. Supports Ruby 3.0+.
APK bytecode instrumentation via Gradle plugin. Hooks SQLiteDatabase, Runtime.exec, WebView. No device root required.
Dylib injection via LLVM instrumentation at build time. Hooks CoreData, NSURLSession, NSFileManager. Compatible with Xcode 15+.
Lambda layer wrapping the runtime handler. Supports Node.js and Python runtimes. Hooks DB drivers, exec calls, and outbound HTTP — zero cold-start impact.
Sidecar container model — no app changes needed. eBPF-based syscall interception at the container boundary. Works with any language runtime.
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.
WAFs guard the perimeter. RASP guards the application itself.
| WAF / Traditional | Bachao.AI RASP | |
|---|---|---|
| Detection model | Pattern matching (signatures) | Behavior analysis (taint tracking) |
| False positive rate | 5–30% (WAF), varies (manual) | Near-zero (validates at execution point) |
| Zero-day protection | None (needs signature update) | Built-in (behavior-based, no CVE required) |
| Deployment | Network perimeter (WAF) | Inside the app runtime (agent) |
| DPDP mapping | Not included | Auto-mapped to DPDP Act safeguards |
| PT → Protection link | Manual remediation only | VAPT findings auto-generate RASP rules |
| Cost | ₹1,00,000–₹15,00,000/yr (Indian vendors) | Significantly lower — see pricing |
Four stages of runtime protection — from instrumentation to blocking.
Lightweight agent registers hooks at every security-critical execution point — database queries, file I/O, process execution, network connections, deserialization.
Taint tracking follows user input from HTTP request through string operations, transformations, and encoding — all the way to dangerous function sinks.
When tainted data reaches a sensitive function, AI analyzes whether it changes the expected behavior — query structure, file path, command arguments — and flags anomalies.
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.
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.
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.
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.
Traditional
Rule-based RASP requires a dedicated security team to write, tune, and maintain rules — ₹40–80L/yr in 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.
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.
Enterprise RASP deployments at Indusface, Protectt.ai, and international vendors like Sqreen (now Datadog) cost ₹1–15 lakh per year — 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.
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.
Start in monitor mode to see attacks hitting your app. Upgrade to block them.
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 40–60% 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.
For SMEs and startups who need a credible security report for their board or compliance checklist.
For Series A+ companies and NBFCs who need continuous monitoring and a DPDP / CERT-In compliant report.
For large organisations and CISOs who need full-scope testing and a board-ready compliance audit trail.
Scope discussed on a free 15-min call · No commitment required
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.
Indian WAF/RASP platforms cost ₹1,00,000–₹15,00,000/year. Bachao.AI is a fraction of that, with free monitor mode.
| Vendor | Price | Billing | Source |
|---|---|---|---|
| Protectt.ai (mobile RASP) | ₹5,00,000 – ₹15,00,000/yr | enterprise license | protectt.ai ↗ |
| Indusface AppTrana (WAF+RASP) | ₹99,600/app/yr | per app | indusface.com ↗ |
| CyberNX (managed WAF) | ₹1,00,000 – ₹5,00,000/yr | per app | cybernx.com ↗ |
| → Bachao.AI | Free monitor · affordable blocking | per app/month |
Prices verified as of March 2026. All Bachao.AI prices exclusive of 18% GST. Protectt.ai (India) is mobile-only RASP — not a server-side competitor.
The questions your CTO will ask about RASP.
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.
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.
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.
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 ₹40–80L/year in analyst overhead that enterprise RASP vendors bill separately, and provides zero-day coverage that signature-based tools cannot match.
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.
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.
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.
Bachao.AI covers your entire security surface — from code to cloud to compliance.
Deploy RASP in monitor mode — free. See every SQL injection, SSRF, and deserialization attempt hitting your production app. No code changes required.