LLM Security Assessment
Our LLM security assessments (Large Language Model security assessment) is the process of testing an AI language model to find weaknesses in its behavior, safety, and reliability.
What we assess
Coverage areas included in this engagement. Select a topic for methodology depth and business impact.
| Topic | Summary |
|---|---|
| Core Concept | We validate this area during scoped assessments, documenting impact and remediation guidance. |
How we run it
Documented phases aligned to industry frameworks. Every step produces evidence your engineering team can replay.
Core Concept
- Model = brain - Prompt = question - Context = short-term memory - Tokens = words broken into pieces - System message = hidden teacher rules - Inference = thin
- Model = brain
- Prompt = question
- Context = short-term memory
- Tokens = words broken into pieces
- System message = hidden teacher rules
- Inference = thinking and answering process
Certification spotlight
Our operators hold industry-recognized offensive security credentials. For this engagement we lean on the certification below.
Primary certification
PenTest+
CompTIA
Why this matters for your engagement
CompTIA PenTest+ validates hands-on offensive methodology across networks, applications, and cloud targets. We apply this framework to scope, execute, and report findings with reproducible evidence your engineering team can action.
Risk areas we cover
High-level risk themes for this engagement. Cards with an arrow open the matching topic page.
What you receive
Every engagement concludes with actionable output your security and engineering teams can operationalize.
Findings report
Documented vulnerabilities with severity ratings, affected assets, and reproducible evidence your team can action.
Remediation guidance
Prioritized recommendations mapped to risk and effort, with clear ownership for engineering and operations teams.
Retest scope
Defined retest window for critical and high findings so you can confirm fixes before auditors or leadership review.
Compliance and trust
Findings are mapped to severity frameworks and can support SOC 2, ISO 27001, HIPAA, and GDPR evidence requests. Review our security practices and subprocessors in the Trust Center.