Role-based access control (RBAC) restricts access to patient data based on job responsibilities, reducing risk. Encryption methods like symmetric and asymmetric key schemes safeguard sensitive health ...

Legacy data collection systems create blind spots that adversaries exploit with AI-driven attacks. Kam Amir, director of ...

• Shadow AI: Your employees use a wide range of tools for their daily work and research. These injections expose your data and cause compliance risks that are hardly visible. IBM recently explained ...

Organizations that struggle with data security rollouts aren't burdened by financial constraints or poor tooling, but ...

Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk ...

For cybersecurity professionals, law and the nonprofit sector do not immediately come to mind as high-risk industries for data security. Finance, health care, manufacturing, utilities, and consumer ...

The potential of agentic AI expands far beyond digital interfaces, and its most transformative impact may come when it is ...

Intelligent data is key for security professionals looking to prove the wider ROI and business benefits of an upgraded physical security system. Traditional access control systems only capture basic ...

Explore the evolution of data engineering, focusing on agentic systems and AI pipelines for enhanced analytics and enterprise ...

Stolen data from the data breach was published online as emergency management and law enforcement officials in jurisdictions ...

Monitoring K-12 schools and institutions of higher education and ensuring the safety of students, faculty and staff has grown increasingly complex. Many large campus security and public safety teams ...