Threat Modelling vs Digital-Safety Modelling

Digital Safety Modelling is a structured process for identifying, understanding, and prioritising potential harms to humans arising from their interaction with or dependence upon technological systems. Where threat modelling asks “what could go wrong with this system?”, Digital Safety Modelling asks “how could this system’s behaviour—intended or otherwise—harm the human?” Read More

AI Governance and Digital Safety Alignment

AI adoption is inevitable but requires robust governance for success. Author Bhojraj Parmar argues that poor governance erodes trust; governance should instead foster safety, trust, and prosperity. Rushing AI adoption risks “Shadow AI,” data leaks, and insider threats. The blog advocates moving beyond narrow cybersecurity to Digital Safety, prioritizing the safety of humans, institutions, and communities. The core message is that AI governance must align with digital safety modeling to account for all types of harm when defining OKRs/KPIs. This is fundamentally a business problem, not just a cybersecurity one, and strong governance is essential for maintaining customer trust, adoption, and revenue. Read More

What is Protective DNS and Why Is It Critical to Your Cybersecurity Defensive Architecture?

The Domain Name System (DNS) is the foundational address book of the internet, a ubiquitous and trusted protocol that underpins virtually all online activity, from browsing websites to sending emails. This inherent trust and ubiquity, however, make it a primary target for cyberattacks, with global cybercrime damages projected to reach $6 trillion annually. Because it Read More