Offensive Security & VAPT
AI / LLM Security Testing
AI features open a new attack surface. We test LLM-powered apps and agents for prompt injection, jailbreaks, sensitive-data leakage, insecure tool/agent use and supply-chain risks - mapped to the OWASP Top 10 for LLM Applications.
Typical timeline
8–12 business days
Engagement model
Grey / black / white box
How it runs
Kickoff → test → report → re-test
Overview
Integrating LLMs and AI agents introduces unique attack vectors, including prompt injection, jailbreaks, data poisoning, and insecure output handling.
We test AI systems against the OWASP Top 10 for LLM Applications. We simulate adversarial injection attempts to bypass safety guardrails and hijack connected APIs.
At a glance
- Prompt injection and jailbreak testing
- Sensitive-data leakage and output handling
- Insecure tool/agent and plugin use
- Model supply-chain and guardrail review
Coverage
What we cover
Prompt Injection Attacks
Attempting direct and indirect injections to override system instructions and hijack outputs.
Safety Guardrail Bypasses
Probing models with jailbreaks and adversarial tokens to bypass safety filters.
Agent Tool Abuse
Evaluating if connected API tools can be coerced into unauthorized writes, deletes, or access.
RAG Pipeline Leakage
Testing if user prompts can extract unauthorized documents through RAG query tampering.
Outcomes
What you get
Methodology
How the engagement runs
Map
Understand the model, prompts, tools and data flows.
Attack
Injection, jailbreak, leakage and abuse testing.
Assess
Guardrails, tool permissions and supply chain.
Report
Findings mapped to OWASP LLM Top 10 with fixes.
Deliverables
What lands in your inbox
- AI/LLM security report
- OWASP LLM Top 10 mapping
- Guardrail recommendations
- Re-test
Why A5
Why teams pick us
Manual-first, not scan-first
Senior testers hand-craft test cases for your business logic - scanners only set the baseline.
Proof, not guesses
Every finding ships with a working proof-of-concept and exact reproduction steps.
Fix-focused reporting
Remediation with code and config examples, not just a CVSS number and a shrug.
Re-test included
We verify your fixes and issue a clean report - closure, not just discovery.
FAQ
Frequently asked
Do you test AI agents and RAG apps?
Yes - including tool-using agents, RAG pipelines and multi-step workflows where injection and data-leakage risks compound.
Related services
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Security Engineering
Cloud Security Assessment
CIS-aligned cloud posture review across IAM, network, storage and workloads for AWS/Azure/GCP.
Need ai / llm security testing?
Prove both before launch.
Bring us your app, audit deadline, or security concern. We'll map the fastest path to WCAG conformance, VAPT coverage, and regulator-ready evidence.
