About

AI security engineering for teams shipping LLMs, RAG, and agents

AI Security LLC helps product, engineering, and security teams map risk, test realistic abuse paths, harden controls, and prepare evidence for launch and enterprise review.

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What AI Security LLC is

AI Security LLC develops graph-backed security methods, software capabilities, research, and expert-led services for AI applications and agents. Its M.A.D.E. operating method—Map, Attack, Defend, Evidence—connects system modeling, adversarial testing, control design, remediation, and evidence production. The AI Security Workbench supports this work by preserving entities, relationships, findings, path state, controls, decisions, and evidence across the security lifecycle. Selected capabilities are also available through bounded licensing and OEM integration models.

AI Security LLC is the company.

AI Security Workbench is the technical platform.

Assessments, red teams, hardening, and evidence engagements are expert-led services powered by the platform.

Software licensing and OEM integration are separate commercial paths.

Mission

Our mission: make AI security a practical engineering discipline

AI security should produce more than warnings and policy language. Teams need system maps, reproducible attacks, enforceable controls, remediation work, retests, and evidence they can use.

Vision

Real AI products ship with security built into the release path

We envision a world where AI security engineering is treated like software engineering — with hiring standards, training pipelines, role definitions, tooling, and governance practices that are legible, auditable, and improvable over time.

The AI Security Workbench is the tool-backed delivery system we use during engagements. The report, handbook, and field guide support the shared vocabulary behind the work.

How we work

Four principles

Practitioner-led

Every deliverable is produced by engineers who've shipped AI products in adversarial environments — not analysts who brief on them.

Research-backed

Research claims separate public hiring signals, practitioner input, citable sources, and caveats instead of turning weak signals into certainty.

Open research

The State of AI Security Engineering Report, the Field Guide, and the Academy Journal are public assets — no paywalls on foundational knowledge.

Built with the community

The taxonomy, findings, and benchmarks are shaped by practitioners in the field — a discipline-level effort, not a vendor narrative.

Current work

Current AI security work

Our current work focuses on the security of AI applications, RAG systems, agents, tools, trust boundaries, code, and the evidence required to ship and sell them. This includes AI product security assessments, agentic browser and workflow security, AI Security Workbench development, and publications like The State of AI Security Engineering 2026, the AI Security Engineering Handbook, and the Field Guide.

Foundation

Foundation in product security and regulated delivery

The current AI security practice builds on earlier work in application security, security engineering, FedRAMP, enterprise product security, and regulated delivery. This foundation informs our approach to control design, evidence production, and enterprise-ready delivery.

Specialist Bench

Who leads the work

aisecurity.llc leads consulting-led AI security engagements and brings in focused specialists when a mission needs additional product security, red-team, governance, legal, detection, maritime, or commercial strategy depth.

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Specialist lanes

Focused support for scoped missions.

The bench is organized around delivery lanes, not a marketplace taxonomy.

Product Security & Architecture

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AI Red Team & Adversarial Testing

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Agentic Workflow Security & Hardening

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Governance Evidence & Operating Model

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Sales Enablement & Customer Security Review

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Detection / Telemetry / Incident Readiness

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Legal, Policy & Domain Specialists

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This specialist bench is intentionally public-safe. Profiles may omit private CV details, unapproved claims, sponsor notes, private rate cards, and negotiation context. Research and implementation support is grouped separately so senior delivery lanes stay easy to scan. Use the scoping flow for availability, fit, and scoped quotes.

Principal practice

Principal consultants with direct service ownership and higher-confidence delivery claims.

David Wolf

Senior AI Security Engineer

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

David translates AI risk, data governance, product security, and security architecture into practical advisory work, scorecards, and evidence-backed programs.

FOCUS

AI Security EngineeringResearch & AnalysisTechnical Delivery & Architecture

SERVICES

AI Product Security AssessmentAI Red Team & Adversarial TestingAgentic Workflow Security & HardeningAI Governance & Security Program Build

FEATURED

Splunk Product Security Program Buildout The State of AI Security Engineering Report 2026 AI Governance Controls with Garak, NeMo Guardrails, Presidio & Promptfoo

AVAILABILITY

Available

Scope by missionLinkedIn Public CV Booking

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Research & implementation support

Entry-stage technical contributors, interns, and students. Best for scoped implementation support, lab work, testing, tooling cleanup, and research-adjacent delivery.

Alex Karoulias

Red Team & Data Systems

Engineering student at Athens Technical University, Class of 2027

Based on public professional profile.

FOCUS

Emerging TalentRed Team & Toolingstudent

SERVICES

AI Product Security AssessmentAI Red Team & Adversarial TestingAI Security Sales Enablement

FEATURED

Project references surface on the profile page.

AVAILABILITY

By requestJunior

Scope by mission

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Start with the AI security problem you actually have

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The State of AI Security Engineering Report 2026