In 2026, AI won't just make things faster, it will be strategic to daily workflows, networks and decision-making systems. That said, as AI becomes faster, its risks will become more prominent.
Cybersecurity experts share insights on securing Application Programming Interfaces (APIs), essential to a connected tech ...
Tech Xplore on MSN
'Rosetta stone' for database inputs reveals serious security issue
The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...
Researchers with security firm Miggo used an indirect prompt injection technique to manipulate Google's Gemini AI assistant to access and leak private data in Google Calendar events, highlighting the ...
Explore the challenges and strategies for securing AI integration in manufacturing, focusing on governance, data privacy, and ...
As AI adoption accelerates, security often lags behind. Tech leaders share practical steps to close the AI exposure gap ...
Strategic guidance for securing AI in CMMC Level 2, aligning AI risk management with NIST, CSA frameworks, and ...
Secur-e-Health demonstrates how PETs securely combine healthcare data for better risk predictions. Now available: the PET ...
AI companies are gearing up to follow the social media model of monetizing their platforms through advertising. The danger ...
Billion-dollar GPUs may dominate the headlines, but a strong sovereign storage foundation will prove the real star in ...
Dataiku’s field chief data officer for Asia-Pacific and Japan discusses how implementing AI governance can accelerate ...
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