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.
Regulatory fragmentation has become one of the most pressing yet overlooked concerns for global organisations, particularly as governments introduce differing cybersecurity ...
Development teams face relentless pressure to deliver, yet they must continue to prioritise building secure, high-quality software. Leaders play a crucial role in reinforcing ...
Speed, Identity, and AI: Redefining Cybersecurity for Australian Organisations
Cybersecurity teams have always grappled with emerging technologies, increasingly ...
AI is reshaping what’s possible when it comes to protecting organisations against identity-based attacks. By offering prescriptive recommendations on how to harden identity ...
Today, businesses run on an invisible thread: supply chain. It links industries and consumers through numerous pathways, whether physical or digital. From ports to airlines ...
Shielding customers from scams and fraud and providing a safe online experience is paramount. Institutions that fail to do so will find themselves punished financially and ...
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 ...
Snowflake Intelligence transforms how business users turn insights into action through a personalised, context-aware AI agent grounded in enterprise data, while Cortex Code ...
Australia’s evolving Anti-Money Laundering and Counter-Terrorism Financing (AML/CTF) framework is reshaping how organisations approach identity verification.
With Tranche 2 ...
New research from Rubrik Zero Labs highlights a critical lack of identity governance as organisations race to adopt autonomous systems they cannot fully observe or restore.
