Security
An AI compliance checklist for SMEs — 10 points to close out in August
On 2 August 2026 the transparency provisions of the EU AI Act (Article 50) enter into application. If July went by on other priorities, the checklist below will let you close the topic in August without chaos. Ten points. Each with a short explanation of why it exists and how to check it's done. Tick them off one by one.
Chatbots and AI content in your company — Article 50 transparency obligations in practice
From 2 August 2026 the transparency obligations under Article 50 of the EU AI Act stop being theory. Many companies already know THAT they must label chatbots and AI-generated content. Far fewer know HOW to do it correctly. So we take apart the three most common SME scenarios: a chatbot on the website, marketing content and email communication.
EU AI Act: what your company actually has to do before 2 August 2026
On 2 August 2026 the provisions of the EU Artificial Intelligence Act (AI Act) that matter most to the majority of companies enter into application, including the transparency obligations under Article 50. If your company runs a chatbot, generates content with AI or uses AI tools in customer communication, this deadline applies to you directly.
Automating Security Incident Response with AI — SOAR and Playbooks
The average time from detecting a security breach to containment is many hours or even days for many organizations. AI-enhanced SOAR platforms reduce this to minutes by automating repetitive response steps and allowing analysts to focus on decisions requiring human judgment.
KRIs in IT Security — How to Measure Risk Before It Becomes an Incident
Key Risk Indicators (KRIs) are a tool that enables security departments to move from reactive firefighting to proactive threat management. Learn how to define, measure, and visualize KRIs in a way that is useful for the board.
DevSecOps and Shift-Left Security — How to Build Security into the Software Development Process
Detecting a security vulnerability after production deployment statistically costs 30 times more than fixing it at the design stage. Shift-left security moves security testing to the earliest stages of the development lifecycle.
Zero Trust in Practice — How to Implement the Never Trust, Always Verify Security Model
Zero Trust is not a product to buy but a security architecture based on the principle that no connection — internal or external — is trusted by default. Implementation requires a coherent strategy encompassing identity, devices, network, and data.
API Security in Enterprise Environments — OAuth2, Rate Limiting, WAF
APIs have become the primary attack vector for enterprise systems — according to industry reports, they account for over 90 percent of data breach incidents. A comprehensive approach to API security requires multi-layered protection from authentication to anomaly monitoring.
Privacy by Design — How to Build Systems with Data Protection from the Ground Up
Privacy protection cannot be a patch applied after deployment — it must be embedded in system architecture from the very first line of code. Learn how Privacy by Design principles translate into concrete architectural decisions and how automated data anonymization transforms the approach to compliance.
The AI Act in Practice — What Every Enterprise Deploying AI Needs to Know
The European regulation on artificial intelligence (AI Act) is now in force and imposes specific obligations on providers and deployers of AI systems. Learn what it means for your business and how to prepare.
Privileged Access Management and Data Leak Prevention
Insider threats account for the majority of serious security incidents in enterprises. PAM and DLP are two pillars of protection against data leaks — both intentional and accidental.
GDPR in Practice — Data Anonymization and Pseudonymization Step by Step
GDPR has been in effect since 2018, yet many companies still do not understand the difference between anonymization and pseudonymization. A practical guide to data protection techniques with concrete applications in European business reality.
AI-Powered Data Anonymization — How to Protect Personal Data in the Age of Automation
AI systems process tens of thousands of documents containing personal data — and GDPR makes no exceptions. Learn how intelligent PII anonymization protects privacy while preserving the full analytical value of data.
IT Security Audit: From Pentests to 24/7 SOC
A comprehensive guide to cybersecurity auditing. Penetration testing, vulnerability scanning, SIEM, SOC, and privileged access management — what they are and when to implement them.
NIS2, GDPR, and AI Act: Preparing Your Business for 2025–2027 Regulations
Three key regulations shaping digital security in Europe. A practical guide to NIS2, GDPR, and AI Act — what you need to know, implement, and how to avoid penalties.
Enterprise AI Security: From OWASP to Defense in Depth
AI systems process sensitive data at scale, making security non-negotiable. Here's how ESKOM.AI implements defense-in-depth — from antivirus scanning and PII anonymization to OWASP compliance and full audit trails.