[O][M][N][I] - Navigating the New Cyber Era

Introduction The corporate cybersecurity landscape is exceptionally volatile, dynamic, and constantly evolving. As emerging and wide-sweeping Zero-Day threats become commonplace, threat actors grow even more sophisticated in crafting cyber attacks that exploit corporate vulnerabilities, often targeting digital assets' confidentiality, integrity, and availability. Enterprises that place their faith in traditional security models to protect digital assets or access to resources within their corporate network are at risk of decreased cyber resiliency, potentially resulting in fatal blows to business continuity. Enterprises that embrace digital transformation as the new operating model in an increasingly connected world are turning to Zero Trust Architecture to mitigate potential threats surrounding safeguarding sensitive data and systems. According to a 2023 Forrester report, 70% of enterprises plan to adopt Zero Trust by 2025, emphasizing the growing importance of this...

Introduction Artificial intelligence (AI) —encompassing automated decision-making and the analysis of vast amounts of data—is revolutionizing various industries. While AI offers numerous benefits, it also raises significant privacy concerns. As AI systems become increasingly embedded in our daily lives, particularly in response to stricter laws and regulations like the GDPR, fostering transparency and trust is essential. Let's explore critical AI-driven privacy risks, the necessity of explainable AI, implications for organizations, and strategies for compliance with new regulations to safeguard user security. AI-Driven Privacy Risks AI systems often rely on extensive datasets that may include personal information, leading to heightened privacy risks. I’ll list some of the privacy concerns identified by stakeholders regarding AI: Data Collection and Use: AI systems may unintentionally collect and process personal data without users' explicit knowledge, conse...