Assessment of AI and Large Language Model applications to identify security risks and strengthen protection against model, data, and agent-based threats.
Large Language Model security testing.
AI application security assessment.
OWASP LLM Top 10 risk coverage.
Prompt injection and jailbreaking attempts.
AI agent and agent hijacking testing.
RAG security assessment.
Data poisoning risk review.
API security testing.
Deliverables:
Report outlining AI and LLM vulnerabilities with practical recommendations for remediation.
We define the scope, identify potential threats, and set a tailored cyber security penetration testing plan.
02
Intelligence gathering
We gather information about the target through reconnaissance and enumeration to identify potential vulnerabilities.
03
Vulnerability analysis
We identify vulnerabilities by analysing configuration weaknesses, validating exposures, and benchmarking against industry standards (NIST CSF 2.0, OWASP Top 10).
04
Exploitation
We simulate real‑world attacks using the PTES methodology, including privilege escalation, to confirm which risks can be exploited in practice.
05
Impact assessment
We test data access and analyse potential impact to understand the real business consequences of successful attacks.
06
Reporting
We deliver a report following CREST standards, highlighting actionable findings and providing clear remediation guidance.
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