Services

AI Security Engineering Services

Specialist AI security for teams building and operating AI systems. Each engagement is aligned to the SecEng Workbench model — Map, Attack, Defend, Prove — and produces architecture findings, adversarial evidence, deployable controls, and artifacts your team can act on.

Blue Team — Defend pillar Red Team — Attack pillar Governance — Prove pillar

Flagship offers

The commercial center is the service path.

Start with the problem you actually have. Each offer below is structured around the buyer trigger, the work we do, the deliverables you leave with, and the brief that supports it.

Scope AI Product Security Review Take AI Security Diagnostic

AI Product Security Assessment

For teams shipping LLMs, copilots, RAG, or customer-facing AI features.

An AI feature is moving toward launch or enterprise review.

Map trust boundaries, data flows, abuse paths, logging, and remediation priorities.

Deliverables

• AI Security Discovery / Intake Pack
• AI System Inventory / Application Register
• AI Architecture Review
• RAG Authorization Review
• AI Control Gap Assessment
• Enterprise AI Security Evidence Pack
• AI Security Remediation Roadmap

Timeframe

2-4 weeks

Price

Scoped after discovery

Scope review Open brief

Agentic Workflow Hardening

For agents and tool-using workflows that can read, decide, invoke tools, or change state.

A workflow can act across systems or mutate data without clear boundaries.

Define tool permissions, approval boundaries, logging, and rollback requirements.

Deliverables

• Agent Tool Inventory / Tool BOM
• Agent Tool Permission Matrix
• AI Release Gate Checklist
• AI Red-Team Scope Document
• AI Red-Team Findings Register
• AI Red-Team Remediation Roadmap

Timeframe

3-6 weeks

Price

Scoped after discovery

Scope hardening Open brief

AI Security Sales Enablement

For AI vendors and SaaS teams facing procurement, trust review, and customer security scrutiny.

Buyers want evidence before they approve the deal.

Package security answers, trust-center evidence, and procurement-ready AI governance materials.

Deliverables

• Enterprise AI Security Evidence Pack
• Enterprise AI Security Questionnaire Answer Bank
• Model Provider Boundary Statement
• AI Governance Evidence Matrix
• AI Buyer FAQ / Trust-Center FAQ
• AI Evidence Pack Appendix

Timeframe

2-4 weeks

Price

Scoped after discovery

Scope enablement Open service

AI Security Operating Model

For CISOs and security leaders turning AI governance into repeatable operations.

Governance exists on paper but not in intake, ownership, or evidence flow.

Design risk tiering, review gates, ownership, and evidence lifecycle.

Deliverables

• AI Security Operating Model Blueprint
• AI Security Maturity Scorecard
• AI Control Mapping Summary
• AI Incident Response Playbook

Timeframe

4-8 weeks

Price

Scoped after discovery

Design model Open brief

Secure AI Product Launch

For teams preparing a launch gate, pre-release review, or board-facing signoff.

The release decision needs proof before it becomes a production event.

Package the architecture, retrieval, test, and release artifacts that prove launch readiness.

Deliverables

• AI Architecture Review
• RAG Authorization Review
• RAG Security Test Plan
• AI Release Gate Checklist
• AI Red Team Assessment Executive Summary
• AI Security Remediation Roadmap

Timeframe

2-5 weeks

Price

Scoped after discovery

Scope launch Open brief

Proof previews

These links point to real deliverable samples buyers can inspect now.

Northstar sample pack Trust boundary map Evidence pack Permission matrix

What clients get

Deliverables, not vague advisory language.

Each service path ends in concrete artifacts that a buyer, engineer, or security lead can inspect.

Open deliverables Scope a review

Assessment

Agentic hardening

Enterprise review

Operating model

Blue Team

SecEng Defend →

Specialized support: defensive security

Architecture reviews, hardening sprints, and secure SDLC programs. Build the controls that hold up under real attack and enterprise scrutiny. Pairs with SecEng Defend for continuous evidence capture and control coverage.

Start with a discovery call →

Flagship

Blue TeamAvailable

assessment

AI Product Security Assessment

Assess LLM-powered product features, RAG systems, copilots, internal AI tools, model integrations, data flows, logging, evaluation, and customer-facing AI surfaces before they become enterprise risk. The output is a prioritized security backlog, architecture findings, control recommendations, and evidence product and engineering teams can act on.

Outcome

4 deliverables

Best for

CISO, Head of Product Security, VP Engineering, AI Product Lead

•AI system inventory and data-flow review
•RAG authorization and prompt injection exposure review
•Model/vendor, logging, and evidence gap review

Duration: 2-4 weeksScoped in discovery call

View service Request an AI security review See people fit

Flagship

Blue TeamAvailable

assessment

Agentic Workflow Security & Hardening

Secure AI systems that can take actions: call tools, send messages, query data, update records, trigger workflows, browse, code, or operate across business systems. The focus is permission design, approval boundaries, blast-radius reduction, logging, rollback, and abuse resistance.

Outcome

4 deliverables

Best for

AI Platform Lead, Product Security, Security Architect, Automation Lead

•Tool permission and action boundary review
•Approval, escalation, and least-privilege design
•Workflow abuse cases and audit logging recommendations

Duration: 3-6 weeksScoped in discovery call

View service Harden agentic workflows See people fit View proof

Flagship

Blue TeamAvailable

assessment

SaaS Product Security Review

A senior review of B2B SaaS architecture, auth, APIs, tenancy, integrations, admin surfaces, and abuse paths. The review maps authentication, authorization, tenancy, APIs, admin surfaces, integrations, data flows, cloud architecture, secrets, logging, and operational abuse paths into an executive risk narrative and engineering backlog.

Outcome

4 deliverables

Best for

CTO, VP Engineering, Product Security Lead, Security Architect

•Architecture, data-flow, and trust-boundary review
•Authn/authz, tenancy, admin, API, and integration review
•Logging, detection, and abuse-case analysis

Duration: 3-6 weeksScoped in discovery call

View service Book a SaaS product security review See people fit

Standard

Blue TeamAvailable

project

Secure SDLC & Product Security Baseline

Build a practical product security operating model engineering teams can actually run. Uses SDL, BSIMM, OWASP SAMM, threat modeling, secure code review patterns, CI/CD controls, vulnerability workflows, and developer enablement without heavyweight bureaucracy.

Outcome

4 deliverables

Best for

CTO, VP Engineering, Product Security Lead, AppSec Lead

•Maturity baseline and secure SDLC workflow
•Threat modeling process and security requirements templates
•CI/CD, SAST, SCA, and secrets workflow recommendations

Duration: 4-8 weeksScoped in discovery call

View service Build a product security baseline See people fit

Specialized

Blue TeamAvailable

assessment

High-Risk Feature Code & Design Review

Targeted code and design review for risky product surfaces: authorization, tenancy, APIs, file upload, webhooks, admin features, billing, integrations, AI actions, data exports, secrets, and privileged workflows. This is senior security review around the places SaaS products actually fail.

Outcome

4 deliverables

Best for

Engineering Lead, Product Security, AppSec, Security Architect

•Design and selected code review
•Authz, tenancy, and abuse-case checks
•Integration, webhook, AI action, and data exposure review

Duration: 1-3 weeksScoped in discovery call

View service Review a high-risk feature See people fit

Specialized

Blue TeamAvailable

implementation

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.

Outcome

4 deliverables

Best for

Security Engineering, Detection Engineering, SOC Lead, Product Security

•Detection coverage and log source inventory
•Splunk alert, SPL, app, and dashboard review
•Sigma, KQL, SPL, ATT&CK, and use-case mapping

Duration: 3-8 weeksScoped in discovery call

View service Plan a SIEM modernization sprint See people fit View proof

Specialized

Blue TeamAvailable

assessment

Cloud & Identity Security Hardening

A focused hardening sprint for cloud-native SaaS environments. Reviews IAM, service accounts, SSO/MFA, secrets, network exposure, storage, Kubernetes/container risk, Terraform/IaC, logging, and administrative access patterns.

Outcome

4 deliverables

Best for

Engineering Lead, Cloud Platform Lead, Security Architect, CTO

•IAM, service account, SSO, MFA, and admin access review
•Cloud exposure, secrets, storage, and network review
•Container, Kubernetes, Terraform, and IaC control review

Duration: 2-5 weeksScoped in discovery call

View service Harden cloud and identity See people fit

Red Team

SecEng Attack →

Specialized support: offensive testing

Adversarial testing, prompt injection, jailbreak pathways, threat modeling, and guardrail evaluation. Find what attackers will find before your customers do. Uses SecEng Attack Range for scenario execution and evidence generation.

Request adversarial testing →

Flagship

Red TeamAvailable

assessment

AI Red Team & Adversarial Testing

Evidence-driven adversarial assurance for AI-enabled products, agents, copilots, RAG systems, and automation workflows. The work tests realistic misuse, prompt injection, data exposure, jailbreak pathways, tool abuse, unsafe autonomy, cross-tenant leakage, and control bypasses.

Outcome

4 deliverables

Best for

CISO, Product Security, Red Team, AI Engineering Lead

•Prompt injection, jailbreak, and policy bypass testing
•RAG data exposure and authorization abuse testing
•Tool/function abuse and excessive agency testing

Duration: 3-6 weeksScoped in discovery call

View service Request adversarial testing See people fit View proof

Flagship

Red TeamAvailable

implementation

AI Guardrails & Evals Review

Review the controls, tests, monitoring, and fallback paths that keep LLMs, RAG systems, copilots, and agents safe in production. The work covers policy boundaries, refusal behavior, retrieval constraints, eval design, regression tests, output monitoring, abuse detection, escalation paths, and fallback handling.

Outcome

4 deliverables

Best for

AI Product Lead, Product Security, Trust and Safety, Engineering Lead

•Guardrail architecture and refusal/fallback review
•Eval set and abuse case design
•Regression testing strategy

Duration: 3-6 weeksScoped in discovery call

View service Review guardrails and evals See people fit

Standard

Red TeamAvailable

workshop

Threat Modeling Sprint

A focused engagement to map realistic threats, abuse cases, trust boundaries, and security controls before launch or redesign. The work is designed for product and engineering teams that need practical risk discovery, not academic diagrams.

Outcome

4 deliverables

Best for

Product Security, Engineering Lead, Security Architect, Product Manager

•System scoping, asset, actor, and trust-boundary mapping
•Misuse, abuse-case, STRIDE-style, or custom modeling
•Risk prioritization

Duration: 1-3 weeksScoped in discovery call

View service Schedule threat modeling sprint See people fit

Governance & Advisory

SecEng Prove →

Specialized support: governance & evidence

Security leadership, program strategy, AI governance, audit readiness, and enterprise security advisory. Senior security voice in the room — without the full-time hire. Delivers the control evidence and framework crosswalks that SecEng Prove packages.

Explore advisory options →

Flagship

GovernanceAvailable

project

AI Governance Control Plane

Turn AI governance into inventories, controls, ownership, evidence, and operating rhythm. This is not an audit service. It translates ISO 42001-aligned, NIST AI RMF-style, internal policy, and enterprise assurance expectations into a working control plane.

Outcome

4 deliverables

Best for

CISO, CTO, Security Architecture, AI Governance Lead

•AI system inventory and risk tiering
•Control, policy, and evidence baseline
•Approval workflow and model/vendor review process

Duration: 4-8 weeksScoped in discovery call

View service Build an AI governance baseline See people fit View proof

Standard

GovernanceAvailable

project

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.

Outcome

4 deliverables

Best for

CISO, CTO, Security Lead, Compliance Lead

•Control baseline, policy set, and evidence map
•Risk register and remediation backlog
•Control-owner mapping

Duration: 4-8 weeksScoped in discovery call

View service Prepare compliance-ready evidence See people fit

Standard

GovernanceAvailable

project

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.

Outcome

4 deliverables

Best for

Executive, CTO, Sales Engineering, Security Lead

•Questionnaire response and evidence folder support
•Customer-facing security narrative
•Gap identification and remediation backlog

Duration: 2-6 weeksScoped in discovery call

View service Build sales enablement See people fit View proof

Retainer

GovernanceAvailable

retainer

Fractional CISO & vCISO Advisory

Senior security leadership without the full-time hire. Fractional CISO or virtual CISO engagement for companies that need a credible security voice in the room — for board reporting, executive alignment, program strategy, vendor risk, and investor or enterprise security due diligence.

Outcome

4 deliverables

Best for

CEO, Board, CTO, Series A-C Executive Leadership, Enterprise Sales Lead

•Board-level risk reporting and executive briefings
•Security program strategy, roadmap, and prioritization
•Vendor, M&A, and third-party risk oversight

Duration: Ongoing retainerScoped in discovery call

View service Explore fractional CISO options See people fit

Flagship

GovernanceAvailable

project

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.

Outcome

4 deliverables

Best for

CISO, CTO, Head of Security, AI Governance Lead

•AI risk inventory and control ownership model
•Policy, review cadence, and decision-making process
•Incident and escalation playbooks

Duration: 6-12 weeksScoped in discovery call

View service Build your AI security program See people fit

Who we work with

Built for real AI security buyers

These services answer the questions CTOs, CISOs, product-security leaders, AI platform owners, and founders actually face: Is this AI feature safe? Can our agent act safely? What evidence do we have? What should engineering fix? What does the board need to see?

Book a scoping call

Portfolio proof