Dionach - Cyber Solutions

27/08/2026

🎒 As schools and colleges prepare for the new academic year, now is the time to review cyber security controls, incident response plans, and staff awareness.

Educational institutions remain attractive targets for cyber attacks due to the sensitive data they manage and the critical services they provide.

Before students return, ask yourself:
✅ Are your systems fully patched?
✅ Have privileged accounts been reviewed?
✅ Is your staff prepared to identify phishing attempts?
✅ Could your organisation respond effectively to a cyber incident?

From pe*******on testing and cyber essentials certification to incident response and security awareness training, Dionach helps schools, colleges, and universities strengthen cyber resilience and protect critical educational services.

Learn how Dionach can help strengthen cyber resilience for education providers: https://eu1.hubs.ly/H0xk0LG0

Protect your school or university from rising cyber‑attacks with Dionach’s expert pe*******on testing, vCISO & compliance solutions.

18/08/2026

🔍 When was the last time your organisation tested its security from an attacker's perspective?

Pe*******on testing helps identify vulnerabilities before cyber criminals can exploit them, providing actionable insight into real-world risks across your applications, networks, and cloud environments.

Dionach delivers CREST-accredited pe*******on testing to help organisations strengthen security and reduce risk.

🔗Learn more: https://eu1.hubs.ly/H0xk9n10

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14/08/2026

We’re proud to announce that Dionach has achieved ISO/IEC 42001 certification, the international standard for AI governance and management systems. 🎉

This certification reflects our commitment to responsible AI, robust governance, risk management, and continual improvement. As organisations increasingly adopt AI technologies, establishing trust, transparency, and accountability has never been more important.

Learn more about our latest achievement: https://bit.ly/4qhPWTO

11/08/2026

AI regulation is evolving and fast. From emerging frameworks to growing expectations around transparency, accountability, and ethical AI, organisations can no longer afford to take a reactive approach.

Our AI Governance & Compliance service helps you build a structured, defensible approach to AI oversight.

We support you in:
- Establishing governance frameworks for AI lifecycle management
- Aligning with standards such as NIST AI RMF and global regulatory expectations
- Improving transparency, accountability, and auditability
- Embedding ethical considerations into AI decision-making
Strong governance isn’t just about compliance, it’s about building trust in your AI.

👉 Is your organisation prepared for the next wave of AI regulation?

Learn how our AI Strategy & Governance Advisory can help you design, deploy, and govern AI with confidence:

Explore the service: https://eu1.hubs.ly/H0x94ZX0

04/08/2026

NIS2 is no longer just about understanding the requirements.

It's about demonstrating cyber resilience.

Organisations are increasingly expected to provide evidence that:
🔹 Security controls are operating effectively
🔹 Governance processes are established
🔹 Incident response plans can perform under pressure
🔹 Cyber risk receives appropriate leadership oversight

The challenge isn't awareness.

The challenge is readiness.

🔗 Learn how Dionach helps organisations assess and strengthen their NIS2 preparedness: https://eu1.hubs.ly/H0xk7qX0

Strengthen your organisation's cyber resilience with expert guidance and support tailored to EU regulatory standards. Contact us today!

29/07/2026

Most web security discussions focus on vulnerabilities like SQL injection, XSS, and SSRF. But what happens when security issues emerge from how different systems interpret the same HTTP request?

In his latest blog, Tristan Rice explores the often-overlooked world of HTTP request path normalisation and how inconsistencies between web servers, caches, WAFs, and backend applications can introduce serious security risks.

In Part 1, Tristan breaks down:
✅ How HTTP path normalisation works
✅ Why intermediary systems may process requests differently
✅ Real-world examples of path normalisation vulnerabilities
✅ Security impacts including WAF bypasses and cache poisoning attacks

A must-read for pe*******on testers, application security professionals, developers, and anyone interested in the hidden complexities of modern web architectures.

📖 Read the full blog here: https://eu1.hubs.ly/H0x8PrZ0

🚨 Think you've seen everything web security has to offer?

Stay tuned for Part 2. Tristan uncovers path normalisation behaviours and exploitation techniques that challenge assumptions about how web applications, proxies, and security controls really work. Some of the examples may surprise even experienced security professionals, and you'll see things you never thought were possible from a simple URL.

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Discover hidden risks between web infrastructure components and how Dionach helps identify and reduce security threats.

27/07/2026

🛡️ Need support achieving Defence Cyber Certification (DCC)?

As cyber security requirements across the defence supply chain continue to evolve, organisations need practical support to achieve and maintain DCC compliance.
We help defence suppliers prepare for certification with:

✅ DCC Scoping Services
✅ Readiness & Gap Assessments
✅ Formal DCC Assessments
✅ Remediation & Certification Support

Our experts provide clear, risk-based guidance to help you strengthen cyber resilience, meet MOD expectations, and progress towards certification with confidence.

Start your DCC journey with expert guidance from Dionach: https://eu1.hubs.ly/H0x7Spw0

Achieve DCC certification with expert scoping, readiness assessments and MOD-aligned support from Dionach.

22/07/2026

OpenAI's recent admission that its AI models autonomously hacked another company during testing could become a defining moment for the AI industry.
As AI systems become increasingly autonomous, organisations need more than technical security controls. They need robust AI assurance, governance frameworks, and independent validation to ensure risks are identified, managed, and continuously monitored.

The organisations that succeed in the AI era will not necessarily be those that adopt AI the fastest. They will be the ones that can demonstrate their AI is secure, governed, compliant, and trusted enough to scale with confidence.

AI without governance creates risk. AI with assurance creates advantage.

🔗 Read the article: https://eu1.hubs.ly/H0x5m6_0

We help organisations establish the governance, assurance, and oversight needed to adopt AI securely and responsibly through our AI Strategy & Governance Advisory service.

🔗 Learn more: Dionach AI Strategy & Governance Advisory: https://eu1.hubs.ly/H0x5lCK0

16/07/2026

AI Governance Starts with AI Risk Management
AI is creating new opportunities, but also new challenges around governance, accountability, security, and compliance.

The NIST AI Risk Management Framework (AI RMF) provides a structured approach to identifying, assessing, and managing AI risks across the AI lifecycle.

We help organisations:
✅ Assess AI risk exposure
✅ Establish governance and oversight
✅ Improve regulatory readiness
✅ Build stakeholder trust
✅ Align with NIST AI RMF best practices

Whether you're deploying AI internally or adopting third-party AI solutions, a proactive approach to AI risk management is essential.

Learn more about our NIST AI Risk Management Framework services: https://bit.ly/4ba1UJ1

Implement the NIST AI RMF with expert-led assessments. Identify and manage AI risks, improve governance, and support compliance.

09/07/2026

Your AI may not be exposing new data, but it could be making sensitive information far easier to find.

Large Language Models (LLMs) are changing how organisations access information. The challenge? Data that was once buried across systems, documents, and repositories can now be surfaced in seconds through a simple prompt.

This creates a growing AI governance risk: discoverability.

In our latest blog, we explore why traditional access controls alone may not be enough in the age of AI, and what organisations need to consider to reduce the risk of sensitive information being unintentionally exposed through LLM-powered tools.

Key takeaways:
✅ Why discoverability changes the AI risk landscape
✅ How LLMs can amplify existing data governance weaknesses
✅ The implications for AI governance, compliance, and risk management
✅ Practical steps to strengthen oversight and control

As AI adoption accelerates, organisations need to look beyond who can access information and consider how easily it can be found.

📖 Read the full article: https://bit.ly/4wuNM59

Discover how LLMs can surface sensitive information more effectively, creating AI governance risks without changing underlying permissions.