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Timothe Toulain

Timothe Toulain

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Security Analyst, CyberSift

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Join date: Mar 12, 2026

Posts (3)

Apr 28, 20263 min
Data Poisoning: The Risk of Corrupted AI Training
The most significant vulnerability in the age of Artificial Intelligence isn't necessarily a flaw in the code, it’s a flaw in the information. Because AI models are built on vast amounts of data, their reliability depends entirely on the integrity of that input. This has given rise to a calculated method of attack known as data poisoning, where adversaries subtly subvert an AI’s learning process to control its outcomes. Unlike a traditional hack, data poisoning doesn't require a forced entry...

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Mar 27, 20263 min
The Dark Side of Autonomy: Who is Watching Your AI Agents?
We have officially entered the era of the Agentic Workforce . Companies are no longer just using AI to write emails; they are deploying AI "agents" to actually do things: manage databases, connect to APIs, and automate entire business workflows. Agentic Workforce is a massive leap in productivity. But it’s also a massive security blind spot. The Problem: When Good AI Goes "Rogue" The very thing that makes an AI agent powerful is its agencies - its ability to take a goal and figure out the...

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Mar 12, 20262 min
The Threat Hunt Framework : Inside the CyberSift Architecture
Beyond the "Red Alert": How We Hunt Threats at CyberSift If you wait for a security alarm to go off, you’re already playing catch-up. In the world of cybersecurity, the most dangerous threats are the ones that don't make a sound. That’s why at CyberSift, we don't just "monitor" your systems. We hunt. What do we mean by "Threat Hunting"? Most security setups are like a burglar alarm: they only ring if someone breaks a window. Threat hunting is more like having a security team actively walking...

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