Case Studies & Expert Insights
Explore expert insights and case studies from Liverton Security.

Complexity of Security (Part 1)
All Case Studies & Expert Insights
Deep dive into solutions and cybersecurity topics with our experts
Why Secure Large File Transfer Remains a Challenge for Modern Organisations (Webinar)
Email attachment limits are driving the use of unofficial file-sharing tools, increasing security and compliance risks. Learn how IT leaders can evaluate secure large file transfer solutions that integrate with Outlook and existing workflows.

Pen Testing: Trust Me Bro(ker)
A penetration test uncovered an internal NATS message broker that accepted anonymous connections, providing unrestricted access to JetStream. The assessment highlights the risks of default configurations, unauthenticated services, and trusting internal systems by default.

The Governance Gap: Speed vs. Structure
From weak data practices to unclear accountability, governance gaps can emerge quickly in agile organisations. Learn where they occur and how to address them.

Beyond the Firewall: Why Real Pen Testing Must Cover the Whole Business
Most penetration tests focus on firewalls and systems—but attackers don’t. They look for the easiest way in, whether that’s a forgotten network device, an unlocked door, or a convincing phishing email.

From Open Ports to Organisational Maturity: Why Pen Testing Is the Foundation of a Healthy Security Posture
“No issues detected” can create a dangerous sense of false confidence. Compliance may satisfy an audit, but it does not prove security controls will withstand real-world threats. Penetration testing and security maturity assessments help uncover hidden vulnerabilities, validate defences, and expose the risks attackers are looking for.

Vibe Coding: The Hidden Security Risks of AI-Generated Software
Artificial intelligence is making software development more accessible than ever, allowing users to generate code simply by describing what they want. This emerging practice, often called “vibe coding,” promises faster development and greater accessibility. However, without proper requirements, testing, and security awareness, AI-generated software can introduce serious vulnerabilities. Understanding the risks behind AI-assisted development is essential before deploying code into production environments.