Testing identity and permission enforcement in large language model applications.
What is LLM Authentication and Authorisation Testing?
This testing verifies that your LLM application authenticates users properly and enforces authorisation consistently, so identity and permissions are respected across chat, retrieval and tool use.
Why it matters
AI features often bolt onto an app with weaker identity checks than the rest of the system. Gaps let attackers act as other users or reach data and actions beyond their role, through the model.
How Solusec tests it
We test authentication and authorisation across the AI surface, attempting to bypass identity, escalate privilege and cross user boundaries via the model, and report exactly where enforcement fails.
AI testing, led by a human
Solusec is one of the first firms worldwide accredited under CREST's AI-Enabled Penetration Testing standard, so our use of AI is independently assured: responsible, transparent and always human-led. You get faster, broader testing, your data stays out of public AI tools, and every finding is validated by a qualified tester. Read about the accreditation.
What you get
You get a clear, prioritised report mapped to business risk, a walkthrough of every finding with practical fixes your developers can action, and a free retest once you have remediated. No scanner dump, no jargon, no sales team: you deal directly with the tester.
Common questions
Why test auth separately for AI?
Because AI features frequently introduce new, weaker paths to data and actions that the original access model never anticipated.
Does this include privilege escalation?
Yes, we test whether the model can be used to gain access beyond a user's role.
How quickly can testing start?
After a short, free scoping call we give a fixed price and a start date, often within days.
Is your AI use safe and independently assured?
Yes. Solusec holds CREST's AI-Enabled Penetration Testing accreditation, which independently assures that our AI use is responsible, secure and human-led.
Related AI security testing
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