A recent survey by the SANS Research Program showed 58% of respondents identified IT compromises as a leading initial attack vector for ICS/OT incidents. This reflects the increasingly interconnected nature of IT and OT environments and highlights the risks associated with this convergence.
We must advance our understanding and catch up to hackers by proclaiming that the security perimeter, as we knew it, no longer exists. When proof of identity is all we need to access our most sensitive, critical data, then the security perimeter is each and every one of us.
When you hear “sensitive personal information,” what’s the first thing that comes to mind? Social security numbers? Addresses? Bank account information? It’s time to add a few more to the list: iris movement, facial recognition, fingerprints, voice identifiers and even your blood.
The Department of Justice (DOJ) recently announced an $11.3 million settlement of False Claims Act allegations against a Department of Defense (DOD) contractor that allegedly falsely certified compliance with DOD cybersecurity contract requirements.
Colorado's AI regulations are still a work in progress, and the battle over how to regulate AI – without stifling innovation – has only just begun. As Colorado stands at the forefront of AI regulation, this process isn't just about one state's laws – it's a test case for how AI will be governed across the country.
Behavioral economics offers valuable insights into why humans fall for phishing and social engineering attacks. Bad actors in the world of cybersecurity prey upon these human tendencies to drive actions that put organizations at risk.
Data governance is to business leaders and IT decision-makers as losing weight is to New Year’s resolution enthusiasts. If your organization is aiming to achieve improved data governance as its New Year’s resolution, here are five healthy habits to adopt in 2025.
As cyber threats grow more sophisticated and regulatory fines for non-compliance hit record levels, the stakes for secure data management have never been higher. Yet, many organizations overlook one critical element: proper data destruction.
It’s not enough to understand how to leverage AI to improve productivity—it’s also important to understand the dangers that come along with it. Cybercriminals are already finding ways to use the technology to their own advantage, while lax AI policies are allowing data leakage to occur with worrying regulations.
As much as AI has generated excitement about the efficiencies it is creating for businesses, AI is also presenting unique challenges in the area of data privacy and security. Although still in its infancy, AI privacy litigation continues to rise as the pool of defendants diversifies and regulation intensifies.










