Find out how your AI fails before your customers do
We test LLM applications, AI agents and voice agents the way attackers and difficult customers will, and give you evidence mapped to the frameworks your risk team asks about.
Our founder spent eight years building a penetration-testing-as-a-service platform and later its agentic AI testing. We apply the same discipline to AI systems: scoped engagements, reproducible attacks, clear severity, and retests after fixes. Findings map to the OWASP Top 10 for LLM Applications, MITRE ATLAS and NIST AI RMF, with India-specific checks for DPDP, RBI and TRAI expectations where relevant.
What we build
- LLM application penetration tests
- AI agent red-teaming for tool misuse and goal hijacking
- Voice agent adversarial testing in Hindi and Hinglish
- RAG data-leakage and access-control testing
- Jailbreak and safety regression suites in CI
- Evidence packs for AI governance reviews
How we work
- 01Scope the system, data and threat model with you
- 02Run automated and manual adversarial testing
- 03Report findings with reproduction steps and fixes
- 04Retest and hand over a regression suite
Related work
Agentic AI penetration-testing platform
NZ penetration-testing-as-a-service company (anonymised)
Supervisor-based multi-agent platform for endpoint discovery, attack-surface mapping, OWASP Top 10 and business-logic testing, live vulnerability validation and exploit-chain evidence.
AutoSentinx: voice agent red-teaming
VipraTech product
Autonomous red-team and compliance testing for Hindi and Hinglish voice agents, with multi-turn adversarial playbooks and PASS/RISK/FAIL evidence mapped to OWASP LLM and agentic risks, MITRE ATLAS, NIST AI RMF, and RBI, DPDP and TRAI-style requirements.
LLM endpoint security scanner
Security platform (anonymised)
Workflow that scans Azure-hosted and custom HTTP LLM endpoints for prompt injection, jailbreaks and data leakage.
AI remediation pipeline
Security platform (anonymised)
Pipeline that turns security findings into remediation patches and pull requests for developer review.
Use cases by industry (29)
Banking
Red-Teaming for Bank Chatbots and Voice Agents
Adversarial testing of bank chatbots and voice agents for prompt injection, data leakage, account-takeover social engineering and unsafe advice, in English, Hindi and Hinglish.
AI Governance Evidence Pack for Banks
Inventory the bank's AI and ML systems and assemble the evidence boards, auditors and supervisors ask for: purpose, data, testing, monitoring, incidents and accountable owners.
Capital Markets & Wealth Management
Guardrail Testing for Investment Advisory Chatbots
Test wealth and broking chatbots for unregistered advice, missing risk disclosures, made-up fund data, prompt injection and client data leakage, scored against your SEBI registration scope.
Data-Leakage Testing for Internal Research Copilots
Test internal research and RM copilots for leakage across information barriers, research entitlements and client data, including prompt injection through ingested documents.
Fintech & Payments
Pre-Launch Security Assessment for LLM Features
Test a new chatbot, copilot or LLM feature for prompt injection, cross-customer data leakage, off-policy answers and unsafe output handling before release, with evidence and a retest.
AI Agent Permission and Tool-Use Security Review
Find out what your AI agents can actually do: which tools, credentials and money-moving actions they reach, where approvals sit, and whether injected text can make them misuse tools.
DPDP-Aligned AI Data Handling Assessment
Map where personal data flows through your AI features, prompts, logs, vector stores and vendors, and get a gap register and evidence pack against DPDP Act duties for your DPO.
Telecom & Contact Centres
Voice Agent Red-Teaming and Jailbreak Testing
Adversarial phone calls against your voice agent in Hindi, Hinglish and English, testing verification bypass, data leakage, prompt injection and off-script promises, with recorded evidence.
Compliance Evidence for AI Calling (TRAI and DPDP)
Test and document how your AI calling handles consent, DND preferences, calling hours, disclosures, opt-outs and personal data, and give compliance teams and clients an evidence pack.
SaaS & AI Product Companies
LLM Application Penetration Test (OWASP LLM Top 10)
A scoped pentest of your LLM feature and the app around it: prompt injection, data disclosure, output handling, excessive agency and system-prompt leakage, with reproducible evidence.
AI Agent Red-Teaming (Tool Misuse and Goal Hijack)
Red-team your AI agents for goal hijacking, tool misuse, excessive agency, privilege abuse and memory poisoning, in a sandbox that records every tool call and decision.
Voice Agent Adversarial Testing
Adversarial test calls to your voice agent in English, Hindi and Hinglish: identity bypass, data disclosure, off-script promises and speech-layer flaws, with PASS, RISK and FAIL evidence.
RAG Data-Leakage and Access-Control Testing
Test whether your RAG pipeline leaks documents across users, roles or tenants through retrieval, caching, citations or logs, using seeded canary documents and role-based test personas.
Continuous AI Security Regression in CI
Run versioned prompt-injection, jailbreak and data-leakage suites in CI on every prompt, model, tool or index change, and block releases that regress past agreed severity thresholds.
EU AI Act and ISO/IEC 42001 Evidence Pack
Assemble testing records, risk assessments, oversight design and technical documentation for your AI features, mapped to EU AI Act and ISO/IEC 42001 requirements, ready for counsel and auditors.
Agentic Security Testing for Web Apps and APIs
Supervisor-led AI agents map your web app and APIs, test OWASP Top 10, API and business-logic flaws, confirm each issue live, and hand tester-reviewed findings with evidence to your team.
FAQs
01Is this the same as a normal penetration test?
No. A normal test covers your web app and infrastructure. AI red-teaming covers prompt injection, jailbreaks, data leakage through retrieval, unsafe tool use and conversational manipulation, which standard scanners do not test.
02Can you test our vendor's voice agent?
Yes, with written permission from you and, where needed, the vendor. Vendors can also commission the test themselves and share the report in bank and enterprise security reviews.
03Do you certify compliance?
No. We provide independent technical evidence that supports your compliance and governance work. Certification and legal sign-off stay with your auditors and counsel.
Founded by Akhilesh Mittal. 8 years building a security platform for a New Zealand company. IIT ISM Dhanbad and IMT Ghaziabad. Builds production agentic AI.