When it fits

If one of these
sounds familiar.

  • An AI project is stuck with the security committee or legal counsel
  • Employees already use AI tools without a policy
  • The data is sensitive: customers, patients, professional privilege or classified material
  • You need to meet Privacy Protection Law Amendment 13 or GDPR
  • A customer or regulator is asking how you protect data in AI

What you get

The deliverables.

The goal is an approved project that moves forward.

POLICY

Organizational AI policy

What is allowed, for whom, on which data and with which tools.

ARCHITECTURE

Security architecture

Classification, encryption, role-based access and no-training, from the design stage.

COMMITTEE

Security committee file

A document that describes the system, risks and controls in the committee’s language.

PRIVACY

Privacy and regulation

Mapping against Amendment 13 and GDPR, and the gaps to close.

PRIVILEGE

Professional privilege

Working with privileged legal or medical data without breaking privilege.

AUDIT

Audit log and controls

Who asked what, which answer they got and from which source.

How it works

Three stages.

Each ends with a clear deliverable.

01

Risk and regulation mapping

Two weeks: the data, the systems, the requirements and the committee’s questions.

02

Policy and architecture

Policy, controls and the committee file, together with security and legal counsel.

03

Support through approval

Presenting to the committee, answering questions and closing gaps until the project moves.

Technology

The tools in this area.

  • RBAC
  • Encryption
  • No-training
  • DLP
  • Audit log
  • Amendment 13
  • GDPR

LET’S BUILD WHAT’S NEXT

What do you want
to move forward?

30 minutes on your processes, systems and blockers. We’ll look at what is worth building, what to buy and what not to do at all. No commitment.

Book an intro call eylon360@gmail.com+972 54 739 9511