Name
aisecurity.llc
Official public reference.
AISECURITY.LLC / PRESS & MEDIA
Press & Media
Logos, brand lockups, colors, descriptions, and publication language for aisecurity.llc and The State of AI Security Engineering Report.
Use these assets when referencing AI Security LLC, the AI Security Workbench, sponsor materials, research pages, expert-led services, or report coverage. The system is designed to stay technical, precise, and evidence-led.
BRAND
Graph-backed security for AI applications and agents.
Descriptor
AI Security Engineering
Official public reference.
Flagship line
Model the graph. Trace the flows. Validate the paths. Preserve the evidence.
Official public reference.
Primary focus
Graph-backed security for AI applications and agents, using the M.A.D.E. method to map, attack, defend, and preserve evidence.
A practical operating model for securing real AI-enabled systems.
Model the graph. Trace the flows. Validate the paths. Preserve the evidence.
ICONS
The mark across plates and palettes.
LOGO SYSTEM
Use the mark and wordmark consistently.
aisecurityllcAI SECURITY ENGINEERING
Primary horizontal logo
Use for media kits, partner pages, decks, and sponsor-safe brand placements.
aisecurityllc
Header logo
Compact lockup for navigation, app shells, and dense UI surfaces.
aisecurityllc
Stacked logo
Use for profile cards, square placements, social thumbnails, and centered layouts.
Icon / symbol
Use only when the full wordmark would be too small or repetitive.
aisecurityllcAI SECURITY ENGINEERING
Dark lockup
Full-color lockup for graphite, navy, or protected dark plates.
aisecurityllcAI SECURITY ENGINEERING
Light lockup
Use on white or very light backgrounds with the near-black mark.
CONSTRUCTION
Show the 60° geometry and the square keystone explicitly.
ICONS
Icon construction
CLEAR SPACE
Rule for breathing room
BUSINESS CARD
Front and back identity card.
Front
aisecurityllc
AI Security Engineering
hello@aisecurity.llc
aisecurity.llc
Back
Graph-backed security for AI applications and agents
aisecurity.llc
Card dimensions: 3.5 × 2 in (88.9 × 50.8 mm). Print on 16pt uncoated stock with matte lamination.
COLOR
Dark research interface, brand signal, restrained risk accents.
Obsidian
#050706
--brand-color-graphite
Primary dark interface background and monochrome wordmark.
Obsidian Surface
#101413
--brand-color-panel
Elevated dark panels, cards, and display plates.
Bone
#F4F1EA
--brand-color-bone
Primary type and the icon mark on dark backgrounds.
Stone
#CFC4B2
--brand-color-stone
Secondary body copy, captions, and dividers.
Verdigris
#3F8F82
--brand-color-olive
Brand accent, keystone, and technical identity color.
Signal Cyan
#14A6B8
--brand-color-brand
Rare live signal, telemetry, and active system accent.
TYPOGRAPHY
Precise, geometric, readable.
TYPE
Wordmark
Tight lowercase geometric sans. aisecurity is heavy; llc is slightly lighter and still readable.
TYPE
Tagline
Uppercase, widely tracked, and token-driven: AI SECURITY ENGINEERING.
TYPE
Headings
Bold, tight, and precise. Avoid novelty hacker fonts and excessive spacing.
TYPE
Body
Readable geometric sans with practical line length and calm contrast.
BOILERPLATE
Copy-ready descriptions.
Short
AI Security LLC provides graph-backed security engineering for AI applications and agents through the M.A.D.E. method and the AI Security Workbench.
Medium
A connected security workbench for modeling AI systems, testing adversarial behavior, qualifying attack paths, designing controls, and preserving evidence.
Long
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.
REPORT
The State of AI Security Engineering Report
The State of AI Security Engineering Report 2026 analyzes the emerging AI security labor market, role design, skill signals, practitioner readiness, and external signal layers shaping the field. The report draws on job-market intelligence, practitioner surveys, academic velocity, builder ecosystem activity, vulnerability disclosures, adversary frameworks, and citation-backed evidence.
Based on analyzed job-description signals, not proof of any individual company's internal security maturity.
WORKBENCH
Instruments and program descriptions.
PLATFORM
AI Security Workbench
A connected security workbench for modeling AI systems, testing adversarial behavior, qualifying attack paths, designing controls, and preserving evidence.
View detailsMAP
Surface Discovery
Inventory AI applications, providers, SDKs, retrieval systems, agents, tools, identities, signals, and boundaries.
View detailsMAP
Threat Canvas
Model applications, relationships, trust boundaries, intended flows, controls, and candidate abuse scenarios.
View detailsMAP
Authority Graph
Trace identities, credentials, permissions, tools, approvals, and consequential actions.
View detailsATTACK
Code Scanner
Analyze AI-specific code relationships and return reviewable findings, code-risk paths, remediation, and SARIF.
View detailsATTACK
Adversarial Range
Exercise bounded adversarial scenarios and preserve observed behavior, consequence, controls, and retest state.
View detailsATTACK
RAG Security Testing
Test retrieval authorization, tenant isolation, provenance, poisoned content, indirect injection, and context integrity.
View detailsATTACK
Attack Path Analysis
Qualify security paths using identified evidence, explicit inference, remediation chokepoints, and retest conditions.
View detailsDEFEND
Runtime Trace
Capture supported runtime observations within a configured observation boundary.
View detailsDEFEND
Agent Authority Review
Compare intended authority with effective capability and define owned hardening work.
View detailsDEFEND
Program Blueprint
Convert approved decisions, requirements, dependencies, and retest conditions into owned program work.
View detailsEVIDENCE
Evidence System
Preserve findings, controls, decisions, remediation, validation, retest state, and approved claims.
View detailsEVIDENCE
AI Security Program Scorecard
Summarize scoped program evidence, gaps, uncertainty, and next actions.
View detailsEVIDENCE
Trust Scanner
Review directional public-surface claim and evidence signals without inferring private control maturity.
View detailsEVIDENCE
Research Intelligence
Translate aggregate public hiring signals into careful market and role-language evidence.
View detailsPARTNERS
OEM Engine
Add selected Workbench capabilities through bounded licensing and integration contracts.
View detailsPARTNERS
Scanner Providers
Preserve scanner identity while adding selected AI-specific findings, context, evidence, and path analysis.
View detailsPARTNERS
Offensive Platforms
Add evidence-qualified path analysis behind an existing offensive engine.
View detailsPARTNERS
Workforce Platforms
Add bounded AI security readiness capabilities to workforce and learning platforms.
View detailsPRESS
aisecurity.llc launches the State of AI Security Engineering Report
CONTACT
Media, sponsor, and partnership contact.
Need a logo, quote, or sponsor-safe description?
Use the assets on this page or contact us for publication quotes, sponsor package language, report references, or brand approvals.