Today, machine identities exceed the number of human identities in the enterprise. With strong identity governance and visibility over every smart device, bot and service, organizations can proactively identify and mitigate unauthorized access and other threats.
The past year has shown organizations that uncertainty and a transformed reality are the new normal in business. Organizations have had to respond in real-time to shift their cybersecurity strategies and keep up with an expanding IT infrastructure, the explosion of IoT devices, and a new wave of threats from more sophisticated attackers.
China’s Personal Information Protection Law (“PIPL”) is now in effect, prompting a surge in hiring for DPOs. What was once a security-oriented role for DPOs in China has been elevated to serve the critical oversight function of ensuring organizational compliance with PIPL.
While providers are doing their best to ensure the security and integrity of their cloud software, there are also some steps that businesses can take to mitigate any cloud-associated risks. Let’s take a look at some of the most important things to consider when it comes to cloud-based platforms and risk mitigation.
Any leader handling data in this ever-evolving landscape must understand how to categorize data to better protect their organizations and customers when working in challenging and emerging markets.
To properly address the new breed of cyber threats, we must approach network protection from a more foundational level. Protective DNS (PDNS) solutions use the Domain Name System to alert and/or block communication with domains associated with bad actors.
Quantitative cybersecurity budgeting helps security professionals properly translate security risks into business risks and demonstrate how cyber risks impact the organization as a whole – which are key to getting buy-in from non-technical stakeholders.
As we move into 2022, developments in ransomware, growing data sprawl, hybrid working, the nascent but growing use of artificial intelligence (AI) and machine learning (ML) technologies will continue to make a significant impact on data protection and management.
Work from home has quickly taken over in many enterprises due to the recent crisis. However, a majority of enterprises forced into the remote work paradigm were unprepared at an infrastructural, policy, and cultural level.
To address supply chain attacks, the latest Firmware Integrity Measurement (FIM) specification, released by Trusted Computing Group, provides a framework to establish the integrity baseline of the firmware running on a device at the manufacturing stage.










