TechTouch Asia

Solace, the real-time data platform for the enterprise, has released a new IDC InfoBrief * which has found that “agentic AI has moved from experiment to operational dependency, and it has quietly rewritten the enterprise’s requirements for how fast data must move.”  Specifically, survey respondents deemed as leaders in real-time data maturity are more than three times as likely to deliver measurable business results across the majority of their AI projects. Leaders also report roughly 23% average annual gains in areas like speed to market, risk reduction and the ability to sense and respond to change quickly.  "Every enterprise has the same AI models. The winners are the ones whose agents run on trusted, real-time data, and the numbers back it up. When data moves in real-time, AI delivers. When it doesn't, AI fails to create sustainable impact," said Paul Fitzpatrick, Chief Marketing and Business Development Officer, Solace. The findings make clear why real-time data has ...

By Abhishek Kumar Singh, Head of Security Engineering, Singapore, Check Point Software Technologies Everyone wants to move fast with artificial intelligence (AI). Yet, as organisations race to roll out new AI capabilities, a stark reality is emerging: AI doesn't just introduce new security risks, it acts as an amplifier for all the architectural flaws we’ve already been sweeping under the rug. Industry forecasts suggest that AI-related security incidents could drive up to a quarter of all enterprise breaches by 2028. For IT and security leaders, rushing into AI adoption without cleaning up foundational hygiene is an open invitation for disaster. The ground shift "The latest Annual AI Security Report 2026 published by Check Point Research documents a decisive shift over the past twelve months; AI has moved from assisting attackers to operating attacks. Where AI once helped criminals prepare, it now runs live intrusions with minimal human direction," says Abhishek Kuma...