Consulting

AI Security Program Build

Schedule a focused technical conversation that scopes your AI product risk, identifies the right advisory track, and translates your needs into a practical engagement proposal.

Selected service

AI Security Program Build

Stand up a working AI security program: policies, risk tiers, inventories, control ownership, review cadence, incident playbooks, and ongoing governance. Built for AI-native companies that need security to scale with their product, not just satisfy a checkbox.

Duration

6-12 weeks

Deliverables

4 implementation-grade outputs

Rate

Custom

What we cover

AI risk inventory and control ownership model
Policy, review cadence, and decision-making process
Incident and escalation playbooks
Reporting, metrics, and executive dashboard

Scoping workflow

Collect the details before the call.

Use the service-specific intake below to collect the organization profile, stakeholders, systems, and files we need in advance. The same workspace data can later be managed from your client portal.

Structured intake

Turn this into a scoped engagement.

This form captures the organization details, stakeholders, systems, and assets we need before the discovery call. It saves into your client workspace so the same record can be updated later from your account area.

What we ask

What to upload

Organization profile

Organization nameWebsitePrimary domainCompany sizeIndustryEngagement stage

Organization notes

Project details

Project nameObjectiveTimeline

Systems in scopeOpen questions / risks

Notes for discovery

Stakeholders

Who should receive the proposal, notes, and next steps?

Add at least one stakeholder so we know who to include in the follow-up.

Uploads

Add files, screenshots, or text artifacts before the call.

Upload files

Upload typeFile note

No uploads yet. Screenshots, docs, questionnaire exports, and notes can all be added here.

Open client portal

Saving writes this draft into your workspace profile. Nothing has been saved yet.

What we cover in the call

• Your AI architecture, data sources, and model supply chain.
• Risk profile for RAG, agents, prompt injection, and tool access.
• Desired outcomes, timeline, and delivery constraints.
• Recommended engagement format and next steps.

Typical duration

30 minutes

If you’re preparing:

• A short summary of your AI program or feature.
• Key risk concerns or audit requirements.
• Current controls, telemetry, and team structure.

Suggested lane

Enterprise Readiness & Security Operations

Build the controls, evidence, and detection coverage that enterprise customers and auditors expect. Covers audit-readiness engineering, SIEM modernization, detection engineering, cloud and IAM hardening, and enterprise security posture.

Back to service View track

Security Compliance Readiness

Engineering-led readiness support for SOC 2, ISO 27001, ISO 42001-aligned programs, customer audits, and enterprise procurement reviews. This service designs and documents practical controls, maps evidence, writes policies, identifies gaps, and turns audit pressure into engineering work. Formal audits and certifications remain with independent auditors or certification bodies.

Open service →

Detection Engineering & SIEM Modernization

Improve detection quality, SIEM content, dashboards, and security telemetry. This is senior detection engineering, content quality, migration support, dashboarding, and telemetry architecture with Splunk credibility, plus Sentinel, Chronicle, Datadog, Elastic, Sigma, KQL, SPL, and detection-as-code where appropriate.

Open service →

AI Security Sales Enablement

Support for SaaS and AI vendors facing enterprise security questionnaires, RFPs, procurement reviews, customer audits, and security escalations. The work combines narrative, evidence, technical remediation, policy cleanup, and control mapping so the company can respond with confidence without overclaiming.

Open service →

Consultant fit

AI Security Program Build

Use this lane to find the public-safe consultant profile matches that show up in the work.

David Wolf

Builds operating models, controls, detection, and evidence layers for enterprise AI adoption.

Alex Eisen

Leads vulnerability research, incident response, product security, and AI risk management work.

Alex Karoulias

Engineering student at Athens Technical University, Class of 2027

See consultant fit →

Project proof

AI Security Program Build

Connect the service to public-safe project proof instead of leaving it as a generic card.

Splunk Product Security Program Buildout

Program buildout, control evidence, and execution-grade security proof.

Devo SIEM Reference Architecture & Detection Validation

SIEM architecture, taxonomy design, and detection engineering proof.

Cornerstone FedRAMP Moderate ATO Security Controls

Control architecture and evidence-readiness for FedRAMP Moderate ATO.

View proof →