CYB Software

As organizations move towards a more distributed, cloud-centric IT infrastructure, traditional security models centered on network perimeter defenses are increasingly inadequate. The shift toward multi-cloud environments, remote work, and mobile devices requires a fundamentally different approach to securing applications and… Read More »How Organizations Can Use Zero Trust to Secure Their Apps and Workloads Without the Pains of Network Segmentation

As businesses continue to embrace digital transformations, their IT infrastructures and security frameworks must keep pace with rapid advancements. The growing reliance on cloud services, the shift toward remote work, and the increasing need for real-time data access are reshaping… Read More »4 Reasons Why SASE Adoption Should Be a Business-Led Transformation, Not an IT One, for Organizations

Secure Access Service Edge (SASE) is a cloud-native architecture that converges wide-area networking (WAN) with network security services, such as secure web gateways (SWG), cloud access security brokers (CASB), firewalls (FWaaS), and Zero Trust Network Access (ZTNA). This integrated solution… Read More »How Does SASE Work?

Network outages are not just an inconvenience—they can lead to significant business disruption, financial losses, and reputational damage. As organizations become increasingly dependent on digital infrastructures and cloud services to manage their operations, the reliability of these networks has become… Read More »How Organizations Can Achieve 50%+ Reduction in Network Outages With Network Security Transformation

As digital transformation accelerates, organizations increasingly rely on cloud computing, remote work, and the Internet of Things (IoT), leading to the proliferation of network edges. These edges are where the internal corporate network meets external, public networks—essentially, the boundary between… Read More »How Organizations Can Solve the Challenge of Architectural Complexity for Network Edge Security

Artificial Intelligence (AI) and Machine Learning (ML) are impacting industries by automating processes, enhancing decision-making, and uncovering valuable insights from vast datasets. From healthcare and finance to retail and cybersecurity, AI/ML systems are rapidly becoming integral to the digital infrastructure… Read More »How Practitioners Can Build AI/ML Systems Secure by Design

Artificial intelligence (AI) and machine learning (ML) are transforming industries by driving innovation, improving operational efficiency, and enhancing decision-making capabilities. As organizations increasingly rely on AI and ML to maintain a competitive edge and drive non-trivial business outcomes, the need… Read More »7 Common Challenges (and Solutions) in Scaling AI Workloads and Accelerating ML in Organizations

Securing machine learning (ML) software supply chains is essential for organizations looking to protect their AI and ML systems. As ML applications become increasingly integral to business operations and decision-making processes, the security of the underlying software supply chains is… Read More »Top 9 Strategies for How Organizations Can Better Secure Their ML Software Supply Chains

Model provenance refers to the complete record of the history and lifecycle of a machine learning (ML) or artificial intelligence (AI) model. It includes tracking all stages of model development, from the inception of data collection and preprocessing to model… Read More »Top 5 Challenges Organizations Face Around AI Model Provenance (and Their Solutions)

The rise of artificial intelligence (AI) is reshaping industries across the globe, offering significant advantages in efficiency, decision-making, and innovation. In addition, AI has become a critical tool for enhancing cybersecurity by detecting sophisticated threats, automating responses, and providing predictive… Read More »6 Crucial AI Questions Every CISO Must Answer for Company Stakeholders