Building Resilience against Adversarial Cyber Activities

Regulatory agencies demand certain standards, but without oversight, they can create false security.

AI is a multiplier, and this is where the competitive advantage will come from. Human x AI will outperform the Human or the AI.

In the past, VPNs were the go-to solution for enterprises when providing access to internal resources. The blog post compares Software Defined Perimeter (SDP) and traditional VPN solutions through the lens of cryptographic design, threat surface minimization, and identity-centric access control. It also answers the question: how do SDP architectures leverage modern cryptographic primitives and zero-trust principles to address the limitations of VPNs in securing dynamic, cloud

People used to think of performance and cybersecurity as separate areas with different goals. In reality, both focus on making digital experiences reliable and secure. Usually, they get more attention and funding after a big issue, but support often drops off if things seem fine. Performance focuses on: Speed Scalability Availability Efficiency User Experience Cybersecurity focuses on: Threat protection Vulnerabilities Data protection Access Control Compliance Reliability Lea

In the past, developers reviewed thousands of lines of code or used SAST (Static Application Security Testing) or DAST (Dynamic Application Security Testing) Tools to discover vulnerabilities. Today, AI Agents detect and fix these issues behind the scenes during the software development process, which is a tremendous improvement. For new systems, this works well, but the problem arises when we consider AI-detected vulnerabilities in operating systems or other critical busi

Security testing prevents breaches, protects user data, and builds trust by catching vulnerabilities before attackers do.