Hydrolix in the News
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Why legacy SIEMs are struggling in the age of agentic AI
Why are traditional SIEMs no longer keeping up with the current amount of security data?
It isn’t really a technical scaling limit.Modern SIEMs (Security Information and Event Management) can scale horizontally by adding more indexing nodes to ingest additional data.
The challenge is that scaling out becomes increasingly expensive and operationally complex.
Security Journal Americas
August 5, 2026
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Why Security Needs a Specialized Data Layer
Security teams have spent years making detection smarter. Yet security investigations still break down for a surprisingly simple reason: the evidence isn’t there.
An alert fires. An analyst begins the investigation. At first, everything looks routine: a suspicious login, an unusual process, a handful of endpoint events. Then the questions become more difficult.
Cyber Security News
August 1, 2026
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‘The Agent Can Only Work With What You Give It’: One Engineer’s Take on Human-Built AI
Tom Howe has seen his share of internet firefights — he still remembers keeping Disney+ afloat the night WandaVision launched. These days, as Director of Insights Engineering at Hydrolix, he spends a lot of time thinking about how AI fits into real-world operations, and just as importantly, where it doesn’t. I caught up with him to talk about what AI gets right, what teams keep getting wrong, and why human input still matters more than ever.
Programming Insider
July 9, 2026
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The Agentic Internet Is Outpacing Enterprise Defenses
Artificial intelligence is rapidly changing who, or what, businesses encounter online. Human visitors now share websites and digital marketplaces with large language models, AI assistants, commercial scrapers, autonomous agents and malicious bots that can be difficult to distinguish from legitimate customers.
TechBullion
July 15, 2026
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Deep Engineering Specials: Judgment, Not Tokenmaxxing, Creates the Value
The next enterprise AI bottleneck is not model capability. It is whether leaders can tell the difference between a team using AI well and a team running up a number.
Over roughly a quarter in 2026, several of the largest engineering organizations in the world took down the dashboards they had built to prove their AI investments were working. Amazon shut down KiroRank, the internal leaderboard that ranked developers by how many tokens they consumed on its Kiro platform. Meta also dismantled a near-identical board, Claudenomics, that tracked token usage among its heaviest AI users. The reason was the same everywhere. Once usage became the number that mattered, engineers found ways to run up usage, and the costs arrived long before the value did.
Deep Engineering
July 14, 2026
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Most Companies Think They Can Handle AI Bots. New Research Says Otherwise.
- Seventy-nine percent of enterprises detect bot activity, but only 23% have a proactive strategy to manage it.
- Organizations underestimate bot traffic because many cannot distinguish legitimate automation from malicious or costly AI-driven activity.
- Effective bot governance requires understanding intent, improving visibility, and replacing blanket blocking with continuous identity verification.
180 TECHNEWS
June 20, 2026
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The Coolest Data Observability Companies Of The 2026 Big Data 100
Hydrolix develops a real-time data lake platform used to power log data-intensive applications including observability, security and media performance.
The platform’s capabilities combine streaming data ingestion and real-time queries for working with massive volumes of log data.
Hydrolix, which has strategic partnerships with AWS and Akamai, among others, raised $80 million in August 2025 in a Series C funding round led by QED Investors.
CRN
June 11, 2026
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The Machine Majority: How Bots Have Taken Over the Internet
- Bot traffic now accounts for 57.5 percent of all web requests, with automated activity officially surpassing human traffic for the first time in internet history. Roughly 40 percent of all internet traffic is classified as malicious, including scraping, credential stuffing, and denial-of-service attacks, marking seven consecutive years of growth.
- Beyond malicious bots, autonomous AI agents are emerging as a transformative force, growing 8,000 percent in 2025 alone. The entire digital economy — built on assumptions of human attention, ad impressions, and session-based analytics — is now structurally misaligned with the traffic actually flowing through it, creating significant consequences for publishers, investors, and platform operators.
Thailand Business News
June 10, 2026
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New Report Exposes Growing Gap Between AI Bot Threats and Enterprise Readiness
Today’s cyberattackers are no longer breaking into enterprise systems. They’re blending in. Powered by AI, modern bots mimic legitimate users with increasing precision, making identity the primary battleground in a threat landscape that is evolving faster than most organizations can track. Despite this shift, 45% of enterprises update their bot detection rules only weekly. A new research report from TechStudio™, an Energize Marketing® company, sponsored by Hydrolix, exposes just how wide that gap has become.
CB Herald
June 5, 2026
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