Cybersecurity
Zero-trust architecture, threat modeling, security controls, incident readiness, and compliance-aligned security programs.
- Security assessments & roadmap
- Secure-by-design engineering
- Control mapping & evidence
Security-forward. AI-governed. Education-ready.
Build trust into systems, models, and learning.
Anguard delivers cybersecurity programs, applied AI governance, and digital legal education. From zero-trust architecture to model risk controls to modern legal learning experiences—built for real-world constraints.
Capabilities
Three pillars, one strategy: measurable trust. Security engineering, governed AI, and modern legal education—designed to work together.
AI (Applied + Governed)
Practical AI enablement with controls: model risk, data governance, evaluation, monitoring, and policy-aligned deployment.
- AI governance frameworks
- Evaluation & guardrails
- Model + data lifecycle controls
Digital Legal Education
Content, platforms, and pedagogy for legal learning—designed for engagement, accessibility, and measurable outcomes.
- Curriculum & course design
- Learning experiences & media
- Assessment and credentialing
Domains
We operate across focused properties. Legal education lives at laws.tech. Other domains are reserved as placeholders.
LIVE
laws.tech
Digital legal education: programs, courses, and resources designed for the modern legal professional.
Visit laws.tech
Opens in a new tab
PLACEHOLDER
[Cybersecurity domain]
Placeholder for Anguard cybersecurity offerings (managed services, advisory, tooling, research, etc.).
Coming soon
PLACEHOLDER
[AI domain]
Placeholder for Anguard AI offerings (governance, evaluation, safety, enablement, and deployment patterns).
Coming soon
PLACEHOLDER
[Research / Studio]
Placeholder for publications, labs, tooling, and long-form research across security, AI, and legal education.
Coming soon
How we work
A disciplined approach that prioritizes clarity, evidence, and operational feasibility.
01
Diagnose
Map objectives to threats, risks, and constraints. Align stakeholders on what “good” looks like.
02
Design
Build controls, governance, and learning experiences that integrate into real workflows.
03
Deliver
Ship iteratively. Measure. Improve. Document evidence and readiness.
04
Maintain
Monitor drift and risk. Keep policies, controls, and training current.
Outcomes that compound
Not just deliverables—capability. We aim for repeatable systems: better security posture, governed AI operations, and learning that drives behavior change.
What you get
Clear operating model
Evidence-ready controls
AI evaluation + monitoring
Modern education assets
0
Control families mapped end-to-end
0
AI risk checks in a standard workflow
0
Avg. training completion (sample)
%
0
Weeks to deploy an MVP program
“Anguard’s work style is pragmatic: clear threat models, real governance, and learning experiences that stick.”
— Client feedback (anonymized)
FAQ
A few practical answers to common questions.
What kinds of organizations do you work with?
We support teams building or operating systems where security, AI risk, or legal learning outcomes matter—startups to institutions.
Do you offer implementation or only advisory?
Both. Engagements can be advisory, hands-on implementation, or hybrid—depending on your constraints and timeline.
Where does laws.tech fit in?
laws.tech is Anguard’s digital legal education property—programs and learning resources for modern legal practice.
Can you customize training for security and AI governance?
Yes. We can build role-based curricula with scenario design, assessment, and reporting aligned to policy and controls.
Ready to build trust into your work?
Tell us what you’re building, what constraints you have, and where you want to be in 90 days. We’ll respond with a clear, scoped next step.