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
Kaseya Connect APAC 2025 delivered a message that went beyond product releases: MSP cybersecurity is entering an era where resilience, automation and ...
Introduction
The Government of Canada is taking concrete and bold action to strengthen border security and disrupt the illegal fentanyl trade. It has announced an investment ...
As Australia’s digital economy deepens its reliance on data, the stakes are rising for both consumers and organisations. Identity crime can no longer be treated as an ...
Introduction
Security operations often become inadvertent chokepoints. When every vendor relationship triggers an extensive security review, and teams rely on spreadsheets ...
Jeffrey Kok, Vice President, Solution Engineers, Asia Pacific & Japan at CyberArk shares his 2026 predictions for the cybersecurity industry - outlining why identity and ...
By adopting hybrid mesh security principles and embracing AI-enhanced controls, security leaders can effectively disrupt the sophisticated ransomware attack chain and ...
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 ...
