Apply generative AI to security work with clear boundaries.
We help teams evaluate generative AI for security knowledge retrieval, case summarization and investigation assistance. Our service focuses on grounded outputs, data handling and controlled integration with existing tools.
How the service works.
./generative-assistant.sh --phase define-task --environment exampleGenerative Security Models services.
Workflow design
Identify tasks where generated assistance can be reviewed against source evidence.
Knowledge integration
Plan retrieval sources, access controls, provenance and content refresh.
Evaluation and safeguards
Test unreliable output, sensitive data exposure and adversarial inputs.
Deployment controls
Define permissions, human approvals, usage monitoring and change review.
Keep generated assistance grounded.
Generated text can sound convincing while being incomplete or incorrect. We design workflows that let users inspect supporting evidence and prevent generated output from silently becoming an operational instruction. Tool access and response authority are controlled separately from the model.
What you receive.
- Generative AI feasibility and workflow design
- Evaluation cases and safeguard recommendations
- Pilot integration and operational guidance
How an engagement begins.
We begin with a scoping conversation about your environment, priorities and existing tools. We agree access, responsibilities, milestones and acceptance criteria before delivery. Our team then carries out the assessment, design or implementation work in scope, reviews findings with you and prepares a practical handover.
Your proposal defines the final deliverables, access requirements, service hours, response commitments and ongoing support responsibilities. Work can be phased around your priorities and approved change process.
Common questions.
Will the model receive confidential incident data?
Data access, hosting, retention and provider terms are reviewed before use. We agree which information may be processed and the controls required for that environment.
How do you design a generative AI security workflow?
We identify tasks where generated assistance can be reviewed against source evidence. The review records scope, dependencies and the evidence needed before implementation decisions are made.
How do you connect an assistant to approved knowledge?
We plan retrieval sources, access controls, provenance and content refresh. Findings are reviewed with the responsible team so access, operational impact and ownership are clear.
How do you evaluate generated output and adversarial inputs?
We test unreliable output, sensitive data exposure and adversarial inputs. Implementation follows agreed acceptance criteria and approval points, with limitations documented.
What controls are needed for deployment?
We define permissions, human approvals, usage monitoring and change review. Handover includes the responsibilities and review actions needed to keep the work useful over time.
What deliverables are included in generative security models services?
The proposed deliverables include generative AI feasibility and workflow design; evaluation cases and safeguard recommendations; pilot integration and operational guidance. The final statement of work defines the format, acceptance criteria and responsibilities for each deliverable.
How is the work tailored to our business?
Generated text can sound convincing while being incomplete or incorrect. We design workflows that let users inspect supporting evidence and prevent generated output from silently becoming an operational instruction. Tool access and response authority are controlled separately from the model.
How do we get started with this service?
We first discuss your objective, current environment and operational constraints. The engagement follows define assistant task, connect approved knowledge, evaluate outputs, and integrate with review. Access requirements, milestones and approval points are agreed before delivery.
Can you work with our internal team or current providers?
Yes. We agree a responsibility matrix and communication process so your engineers, security team and service partners know who owns decisions, changes and follow-up actions. Ongoing support is included where specified in the agreed engagement.
What determines the project timeline and cost?
Scope, environment size, access readiness, integration complexity and the level of implementation or ongoing support determine the proposal. We review those factors with you and agree milestones and fees before work begins.
Let’s plan the right service for your business.
Tell us what you need to assess, build or improve. We’ll help define the scope and a practical next step.