Find My Security Gaps →
Find My Security Gaps →
Prompt Injection, RAG Leaks, Agent Hijacking. We Test It All.
AI Security & Consulting helps organisations safely integrate artificial intelligence — particularly Large Language Models (LLMs) like GPT, Claude, Gemini, and open-source models — into their products and operations without creating new attack vectors.
The rapid adoption of AI across Indian businesses has created an entirely new category of security risks. LLM prompt injection allows attackers to manipulate AI outputs. Training data poisoning can compromise model behaviour. AI-generated content can leak sensitive information from training data. And AI agents with tool access can be tricked into performing unintended actions.
Verentix provides security assessment and consulting for organisations building AI-powered products, integrating LLMs into their workflows, or deploying AI agents that interact with business-critical systems.
Indian businesses are rapidly integrating AI — from customer service chatbots and document processing to code generation and decision support systems. But most implementations have zero security review.
Common AI security issues we find include LLM-powered chatbots that can be manipulated to reveal system prompts, internal data, or execute unintended actions through prompt injection. AI systems that process user input without sanitisation, allowing attackers to manipulate outputs. RAG (Retrieval Augmented Generation) systems where the knowledge base contains sensitive documents that can be extracted through carefully crafted queries. AI agents with API access that can be tricked into making unauthorised API calls, modifying data, or accessing restricted resources.
For regulated industries, AI security is particularly critical because AI-generated outputs that are incorrect, biased, or manipulated can create regulatory liability — especially in fintech, healthcare, and legal applications.
Every AI Security & Consulting engagement with Verentix delivers concrete, actionable outcomes:
AI System Mapping (Day 1-2): We inventory all AI integrations — LLMs in use, training data sources, RAG knowledge bases, AI agents, tool access, and data flows between AI components and business systems.
A fintech company in Mumbai had deployed an AI chatbot for customer support that could be manipulated through prompt injection to reveal other customers' account details by embedding specific instructions in the chat message. Our testing identified the vulnerability before public launch, and we helped design input sanitisation and output filtering controls.
An ed-tech startup in Pune had an AI-powered essay grading system where prompt injection in student submissions could manipulate grading outputs — artificially inflating scores. Our adversarial testing identified 12 distinct injection techniques, and we helped implement a secure architecture separating user input from system instructions.
A legal services company in Delhi had built a RAG-based legal research tool. Our assessment found that carefully crafted queries could extract entire documents from the knowledge base — including confidential client information that had been inadvertently included in the training data.
30-minute free consultation. No obligation. Honest assessment of whether this service is right for your business.