About

aisecurity.llc builds AI security engineering for teams shipping real AI products.

We help teams secure LLM apps, RAG systems, agents, copilots, and AI workflows through Workbench-backed engagements that map product risk, test realistic abuse paths, harden release controls, and prepare artifacts enterprise reviewers can use.

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What you'll find here

Consulting-led AI security engagements
SecEng Workbench, our tool-backed delivery system
Public research and field guides that support the method
Public-safe portfolio examples
Trust, contracts, and evidence-handling policies
The specialist bench behind the work

Mission

Make AI security engineering a first-class discipline

The field of AI security is fragmented — vendor marketing drowns out practitioner signal, job requirements vary wildly across organizations, and most teams lack the vocabulary to even describe what they need.

Our mission is to build the evidence base, the shared vocabulary, and the practitioner infrastructure that turns AI security from a vague concern into a named, structured, deliverable discipline.

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.

SecEng 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.

Specialist Bench

Specialists we can bring into scoped AI security missions.

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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Alex Eisen

Principal Security Research Scientist — AI Adversarial Testing & Vulnerability Research

Finds real AI attack paths through applied vulnerability research, adversarial testing, and incident-informed threat analysis.

Alex brings principal-level security research depth — adversarial testing, vulnerability discovery, PSIRT-adjacent consultation, and incident-informed threat analysis — applied to AI products, platforms, and enterprise workflows.

FOCUS

AdvisoryIncident & ResponseSecurity Research

SERVICES

AI Red Team & Adversarial TestingAI Product Security AssessmentAI Governance & Security Program BuildAgentic Workflow Security & Hardening

FEATURED

Mandiant — Operation Aurora DFIR & FBI Cybercrime Training ServiceNow Principal Security Research Program Forescout Smart IoT Security Lab

AVAILABILITY

By requestPrincipal

Scope by missionLinkedIn Public CV Email

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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

Explore the Report →

The State of AI Security Engineering Report 2026