An AI / LLM security assessment is a hands-on evaluation of applications built on large language models - chatbots, copilots, RAG pipelines, and autonomous agents - to find weaknesses such as prompt injection, jailbreaks, training-data and sensitive-data exfiltration, and insecure tool use. CyberXplore runs senior-led, manual adversarial testing aligned with the OWASP Top 10 for LLM Applications, going beyond automated scanners to probe how your system behaves under realistic, multi-step attacks. Each engagement ends with prioritized, developer-ready remediation guidance, a free retest, and an attestation letter.
OWASP Top 10 for LLM ApplicationsOWASP WSTGNIST AI RMFMITRE ATLASEU AI Act
Why CyberXplore
Senior-only testers (OSCP, CRTP, CREST)
ISO 27001 & ISO 9001 certified
Free retest + attestation letter
Tailored scope and quote in 24 hours
Why it matters
LLM features expand your attack surface in ways traditional pentests miss - untrusted text, retrieved documents, and tool outputs can all carry hidden instructions that hijack the model.
Indirect prompt injection through RAG sources, emails, or web content lets attackers steer agents into leaking data or invoking tools without ever touching your UI.
Agentic systems that can call APIs, run code, or send messages turn a single jailbreak into real-world impact - fraudulent transactions, data exfiltration, or lateral movement.
Regulators, enterprise buyers, and frameworks increasingly expect independent assurance that AI features handle sensitive data and adversarial input safely before launch.
Aligned with industry standards: OWASP Top 10 for LLM Applications · OWASP WSTG · NIST AI RMF · MITRE ATLAS · EU AI Act
Our methodology
01
Scoping & Threat Modeling
We map your LLM architecture - models, system prompts, RAG sources, tools/functions, memory, and trust boundaries - and define abuse cases, target data, and rules of engagement.
02
Prompt Injection & Jailbreak Testing
We manually craft direct and indirect prompt-injection payloads, jailbreaks, encoding tricks, and multi-turn attacks to bypass guardrails, system instructions, and content filters.
03
Data & Tool Abuse Testing
We probe for sensitive-data and training-data exfiltration, RAG context leakage, over-broad tool permissions, SSRF and command injection via tools, and excessive agency in autonomous workflows.
04
Exploitation & Impact Demonstration
We chain findings into concrete attack scenarios - exfiltrating records, triggering unauthorized actions, or poisoning retrieval - to show business impact, not just theoretical risk.
05
Reporting
You receive a clear report mapped to the OWASP Top 10 for LLMs, with severity ratings, reproducible payloads, evidence, and developer-ready remediation guidance.
06
Remediation Support & Retest
We advise on guardrails, input/output handling, and least-privilege tool design, then re-test every issue to confirm it is resolved - included free.
What we test
Direct & indirect prompt injection (including RAG and tool-output injection)
Jailbreaks, guardrail and content-filter bypass, system-prompt extraction
Sensitive-data and training-data disclosure & exfiltration
Insecure output handling (XSS, SSRF, injection via model responses)
Insecure tool / function use & excessive agency in agents
Authentication, authorization & multi-tenant isolation of AI features
Model denial-of-service, prompt-cost abuse, and rate-limit bypass
Supply-chain risks in models, plugins, and third-party AI APIs
Logging, monitoring, and PII handling around LLM interactions
What you get
Executive summary for leadership and stakeholders
Detailed technical findings mapped to the OWASP Top 10 for LLMs with CVSS severity
Reproducible prompt-injection and jailbreak payloads with evidence
Prioritized, developer-ready remediation and guardrail guidance
Architecture-level recommendations for safe tool use and agent design
Free retest with a remediation verification letter
Attestation letter for customers, auditors, and compliance
Sample deliverable
What you'll see in your report
Every engagement ends with a clear, prioritized report: severity-rated findings with CVSS scores, affected assets, and remediation status - plus a free retest. The figures below are illustrative.
Findings by severity
15 total
Critical
0
High
5
Medium
7
Low
3
High · CVSS 8.2CX-1302
Prompt injection leads to data exfiltration
OWASP LLM01chatbot.example.comOpen
High · CVSS 8.1CX-1314
Insecure tool / function calling enables SSRF
CWE-918assistant-api.example.comOpen
Illustrative ai / llm security assessment sample - anonymized to example.com.
Medium · CVSS 6.5CX-1308
System-prompt / instruction leakage
OWASP LLM07chatbot.example.comOpen
Want the full anonymized sample report? We'll include it with your quote.
“As an early-stage team we needed real depth, not a checkbox scan. They hardened our LLM product and walked us through every fix.”
Hardened in 30 days
FC
Founder & CTO
Early-stage AI startup · Seed · LLM product
AI / ML
Certifications held by our testers
OSCP
CRTP
CREST
CEH
eWPTX
ISO 27001
ISO 9001
Frequently asked questions
It is a hands-on security test of applications that use large language models - chatbots, copilots, RAG systems, and AI agents. We adversarially probe for prompt injection, jailbreaks, data leakage, and insecure tool use to find weaknesses unique to LLM-powered systems, then provide prioritized remediation guidance.
