Trust Intelligence
for the data driven enterprise
An intelligence layer connecting data, artificial intelligence, privacy, security, risk, controls, evidence and assurance.
Governance readiness
ISO/IEC 27001:2022
Intelligence recommendation
Prioritise A.8.2, it carries six dependent controls. A draft privileged access standard and three candidate evidence items are ready for owner review.
Example governance workspace. Values are illustrative and do not represent customer data.
Governance readiness
78.0%
Evidence coverage
71.0%
Control effectiveness
82.0%
Evidence freshness
88.0%
Remediation progress
64.0%
AI systems assessed
57.0%
// Trust graph
Explore how every layer connects
Select a layer to see what it governs and what it feeds next.
Trust graph // select a layer
Example relationships, subject to organisational context
Layer 04 / 07
Controls
What safeguards exist?
- ›Control library
- ›Ownership
- ›Effectiveness
- ›Gaps
Feeds → Evidence
// Explore
Four ways in
Start where your governance environment is today, the detail lives on its own page.
Platform
The Trust Intelligence architecture: requirements, controls, data, evidence, risk and assurance connected in one environment.
Explore platform 02Solutions
What your organisation can govern across privacy, artificial intelligence, data, security, risk and assurance.
Explore solutions 03Frameworks
Which standards and obligations can be operationalised, from POPIA and GDPR to ISO 27001, ISO 42001, SOC 2, PCI DSS, NIS2 and DAMA DMBOK.
Explore frameworks 04Trust Intelligence
Research, methodology and thought leadership on measurable organisational trust.
Explore trust intelligenceThe shift
Trust is becoming an operational problem.
Organisations are managing increasingly complex data environments, artificial intelligence systems, privacy obligations, security requirements, regulatory expectations and third party risk. Insight Keepers provides the intelligence layer that connects these domains.
// Trust Intelligence
Research for the data driven enterprise
A six part research series on POPIA, artificial intelligence governance and measurable trust.
POPIA and Artificial Intelligence in South Africa
Building a measurable governance model for organisations using AI
Read the report Series 02Automated Decision Making and Section 71 of POPIA
Measuring algorithmic decision risk and human oversight
Read the report Series 03POPIA, Artificial Intelligence and the Data Lifecycle
Governing information flows from ingestion to destruction
Read the reportBuild your Trust Intelligence layer.
Connect your data, risks, controls, evidence and assurance into one continuously governed environment.