Is shadow AI now the default enterprise architecture?
Shadow AI is becoming the default enterprise architecture as AI adoption outpaces governance. Here’s what the data says about visibility, control, data exposure and risk.
Read MoreShadow AI is becoming the default enterprise architecture as AI adoption outpaces governance. Here’s what the data says about visibility, control, data exposure and risk.
Read MoreIn the realm of cybersecurity start-ups, there is a widely held belief that the key to success lies in obtaining investor capital. However, recent data from Crunchbase shows a significant 35% decline in funding, raising the question of whether this belief still holds true.
Read MoreMazin Ahmed (Founder and CTO at Fullhunt.io) explains how he built a successful cybersecurity startup during the COVID-19 pandemic.
Read MoreThreat actors deploying Atomic Stealer (AMOS) are launching malicious ad campaigns to target Mac users.
Read MoreNeil J. Walsh will discuss various interpretations of cybercrime, divergent regulatory frameworks, and discrepancies in digital forensic capabilities. Ensuring the accuracy of cybercrime reports worldwide poses a significant challenge
Read MoreData alone is not intelligence – but unified security systems can build an understanding of context around a piece of data, enabling better threat identification and decision-making.
Read MoreThere’s no globally accepted definition of cyber diplomacy or cyber crime. Developing those cross-border agreements is an important step to enable cooperation and resilience.
Read MoreShadow AI is becoming the default enterprise architecture as AI adoption outpaces governance. Here’s what the data says about visibility, control, data exposure and risk.
Read MoreAI governance looks strong on paper, but the data tells a different story. Here’s why AI visibility, identity and accountability still fall short of real control.
Read MoreBetania Allo explains why AI governance fails in practice and how the Intelligent Control Stack brings real-time monitoring, accountability, and control to autonomous systems in production.
Read MoreDiscover a practical model for AI governance that applies cybersecurity principles to real-time monitoring, control, and accountability in production systems.
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