Organisations face significant security risks in the era of "vibe coding" and AI-generated software. A recent benchmark test conducted by Armis that revealed that every model struggles to consistently produce secure code. This reality necessitates that Application Security (AppSec) programs shift away from fragmented vulnerability scanner management and adopt a risk-first strategy.
Introduction
Cybercrime has matured into a highly structured global economy, rivalling legitimate industries in sophistication and profitability. The World Economic Forum ...
AI is no longer a future concept. It is already reshaping how we work, how decisions are made, and how organisations operate. The pace of adoption is relentless. In many ...
Australia’s ambition to be a global leader in artificial intelligence (AI) is clear—from sovereign AI strategies to booming enterprise deployment. But underneath the promise ...
Introduction
Australia is standing at the edge of a technological shift that could redefine cyber resilience. With quantum computing on the horizon, the very foundations of ...
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That’s the message victims saw right before their systems got hijacked. Behind that digital curtain, crypto miners and information ...
Regulatory fragmentation has become one of the most pressing yet overlooked concerns for global organisations, particularly as governments introduce differing cybersecurity ...
The release of the newest frontier AI models marks a turning point for cybersecurity. Palo Alto Networks has conducted early testing of the latest frontier AI models, ...
MCP Apps bring Elastic’s security and observability workflows into third-party AI tools, enabling teams to act on data directly where they work, with additional capabilities ...
