Matteo Rebeschini, Strategic Solutions Engineer at real-time data platform vendor Hydrolix, discussed the operational challenges traditional Security Information and Event Management (SIEM) systems face when attempting to process modern enterprise data volumes. He explained that legacy SIEM platforms struggle to scale cost-effectively, forcing organizations into complex data tiering or “freezing” processes that delay threat investigations by days. He highlighted that while small businesses often rely on MSPs and MSSPs to handle SIEM deployment for compliance or cyber insurance requirements, larger enterprises are increasingly shifting toward agentic AI, automated SecOps, and specialized data lakes to handle massive telemetry inputs without exploding software licensing budgets.
Hydrolix in the News
News
IT Tech Pulse Exclusive Interview with Michael Cucchi Chief Product and Marketing Officer at Hydrolix
Michael Cucchi, Chief Product and Marketing Officer at Hydrolix, explores how unified telemetry, real-time analytics, and AI are transforming modern security operations.
IT Tech Pulse
August 27, 2026
View
News
Picking a CDN Monitoring Tool? Start with this list.
Your CDN infrastructure is the last handoff between your content and your customers. It may be tempting to just set it up and forget about it, but all the work your teams do upstream means nothing if that final connection fails.
GeekWire
August 20, 2026
View
News
AI Spurs a Revival in Data Mesh and Data Fabric
Data mesh and data fabric caught the attention of data leaders in the early 2020s as a compelling way to retain and deliver information across highly disparate enterprises. Then AI came into the picture in a big way, overshadowing the time and attention devoted to mesh and fabric.
Lately, because data-hungry AI systems demand a seamless flow of information, there has been a resurgence of interest in the flexibility that mesh and fabric provide. To meet this need, mesh and fabric are being layered together, rather than being categorized as differing approaches to data decentralization.
Database Trends and Applications
August 13, 2026
View
News
Drowning in Data: The SIEM Breaking Point
eChannelNews
August 19, 2026
View
News
Why MSSPs Are Rethinking the Traditional SIEM
For years, the SIEM has been the nerve center of enterprise security operations. It’s the platform where logs flow in, analysts hunt threats, and compliance boxes get checked. But something is shifting. While SIEMs have historically been indispensable, in today’s AI and agentic AI world, the traditional technology is struggling to meet modern data demands.
CPO Magazine
August 5, 2026
View
News
Bot Intelligence vs. Bot Management: Detection Isn’t the Same as Understanding
The State of AI Bots report, a survey of 300 enterprise security and engineering leaders, found that 79% are confident they can detect bot activity, but only 23% have a proactive strategy for managing it. Being proactive requires understanding how and why automated traffic is interacting with your infrastructure, but most bot management tools aren’t built for that. Instead, they’re built to block traffic.
Our Code World
July 10, 2026
View
News
Most Companies Think They Can Handle AI Bots. New Data Says Otherwise.
Most companies believe they can see AI bots moving through their networks. The harder question is whether they understand what those bots are doing once they get there.
New research from Hydrolix suggests enterprise confidence is running well ahead of readiness. In The State of AI Bots in 2026: Risk, Readiness, and Governance, a survey of 300 enterprise leaders across IT security, engineering, infrastructure and site reliability engineering found that 79% of respondents said they can detect bot activity on their networks.
Cyber Security News
July 3, 2026
View
News
As AI Agents Overtake Human Traffic, Companies Face a Data Infrastructure Reckoning
There’s a misconception about bots – they’re all bad. And therefore, companies treat them as a security issue. Once they detect them, they block them and move on.
That strategy may have worked six years ago, but not today. Considering non-human traffic, such as legitimate AI crawlers indexing content for LLM training and agentic systems making decisions on behalf of customers, has surpassed human traffic, blocking everything can hurt more than help.
The Data Scientist
August 1, 2026
View
News
Before AI Reaches the Customer, Synthetic Data Puts It to the Test
As artificial intelligence moves deeper into customer service, personalization and digital commerce, businesses face a growing challenge: how can they train and test advanced systems while limiting the exposure of sensitive customer information?
Analytics Insight
July 30, 2026
View