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Your AI agent has root access to your data. Does it have the security to match?
Bachao.AI tests LLM agents, RAG pipelines, MCP servers, and agentic tools for prompt injection, privilege escalation, and uncontrolled data access.
Prompt injection, tool abuse, MCP hardening, data exfiltration — every agentic attack vector covered.
Direct and indirect prompt injection across all agent entry points — user inputs, tool responses, RAG retrieved content, and memory. We test jailbreaks, instruction overrides, and goal hijacking.
Every tool your agent can call is tested for overprivileged access, parameter injection, and unintended side effects. We verify that agents cannot be manipulated into calling destructive tools.
Model Context Protocol servers are audited for exposed tools, weak authentication, permission escalation, and sensitive data leakage through tool responses.
Test whether your agent can be manipulated into exfiltrating training data, system prompts, or user PII through crafted inputs or multi-turn conversation attacks.
Scope, inject, fuzz, report — 48-hour turnaround.
Submit your agent design — system prompt, tool definitions, RAG configuration, and memory implementation. Bachao.AI maps the attack surface across all agent entry points.
200+ prompt injection payloads are run across direct inputs, tool responses, and retrieved documents. Goal hijacking, instruction override, and jailbreak resistance are all tested.
Every tool your agent can call is fuzzed for parameter injection, privilege escalation, and unintended side effects. We verify agents cannot be coerced into destructive tool calls.
Findings reported with OWASP LLM Top 10 mapping, CVSS-adapted severity ratings, and remediation guidance for each vulnerability — delivered within 48 hours.
Standard penetration testing misses the agentic attack surface entirely.
| Traditional VAPT | Bachao.AI | |
|---|---|---|
| Attack vectors tested | Known code paths only | LLM inputs, tool responses, RAG content, memory |
| Injection coverage | Direct injection only | Direct + indirect + multi-turn conversation attacks |
| Tool security | Not tested | Full tool-call fuzzing + privilege escalation checks |
| Severity framework | Generic CVSS | CVSS adapted for AI + OWASP LLM Top 10 mapping |
| Compliance mapping | CERT-In only | CERT-In + OWASP LLM + MITRE ATLAS + NIST AI RMF |
| Turnaround | 2–4 weeks | 48 hours report delivery |
Every AI Agent Security 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.
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
Everything you need to know about AI agent security testing.
Prompt injection is when malicious content in an AI agent's inputs — from users, tools, or retrieved documents — overrides the agent's instructions. Unlike traditional injection attacks, prompt injection requires no code execution: a malicious string in a web page retrieved by a browsing agent can redirect the agent to exfiltrate data or take unauthorised actions.
Yes. Bachao.AI maintains provider-specific attack libraries for OpenAI GPT-4o, Anthropic Claude, Google Gemini, and open-source models (Llama, Mistral). We test jailbreaks, system prompt extraction, and model-specific quirks that affect security posture.
Model Context Protocol (MCP) is the emerging standard for connecting AI agents to external tools and data sources. A misconfigured MCP server can give an AI agent unintended access to files, databases, or APIs. We audit MCP server permissions, authentication, and tool definitions for privilege escalation risks.
Traditional security tests known code paths. AI agents take non-deterministic paths based on LLM outputs — they can be manipulated through language, not just code. AI agent security requires adversarial prompt testing, tool-call fuzzing, and multi-turn conversation attacks that don't exist in standard VAPT tooling.
Our findings are documented in CERT-In compliant format with CVSS v3.1 risk ratings adapted for AI-specific vulnerabilities. We follow emerging OWASP LLM Top 10 and NIST AI RMF frameworks alongside CERT-In guidelines.
Bachao.AI covers your entire security surface — from code to cloud to compliance.
Book a free probe — baseline prompt injection and tool permission audit, 48-hour turnaround. Full review mapped to OWASP LLM Top 10, MITRE ATLAS, and CERT-In.