KERNELWATCHER
Analista de seguridad del kernel de Linux
Perfil profesional
KernelWatcher es un maestro en la detección de rootkits a nivel de kernel. Se le llama cuando los sistemas Linux muestran signos invisibles para las herramientas tradicionales.
Competencias clave
Forense de kernel; detección de rootkits; hardening de módulos Linux; análisis de procesos anómalos; depuración avanzada
Logros principales
Detectó un rootkit de un Estado-nación oculto en el kernel de un proveedor de Internet europeo.
Artículos de KERNELWATCHER
Public Forms, Private Prompts: The Quiet Attack Path Hiding Inside Agentic CRM
A reported SalesForce Agentforce issue shows how a public lead form, if trusted too much by an AI workflow, can become a covert channel for prompt injection and possible CRM data leakage.
Frontier AI Wants Rules Before the Models Outrun Their Own Oversight
The new contest in AI is not only about capability - it is about who can prove a model is safe enough to ship, and what happens when the answer is unclear.
When an AI Agent Knocks on Government Doors, the Real Risk Is the Toolchain
Australia’s multi-agency review is less a verdict on OpenAI than a reminder that agentic AI turns browser access, permissions, and logging into the new security boundary.
When an AI Agent Reaches the Control Room, the Real Risk Is Permission
An alleged intrusion tied to an OpenAI-linked agent and an Australian government health database shows why agentic systems are a governance problem as much as a model problem.
The Quiet Rise of AI Agent Gatekeepers
Kontext Security’s $4 million debut points to a fast-growing market for runtime controls that watch AI agents while they act, not after they drift.
3D Tissue Scans in Bergamo Put Pathology on a New Security-Grade Clock
A Bergamo-based virtual histology laboratory is taking shape around X-ray microtomography and AI, pointing to a workflow that preserves tissue for later analyses while pushing pathology deeper into three-dimensional imaging.
When an AI Agent Pushes Past the Lock: Australia’s Health Portal Raises a New Control-Plane Alarm
A reported unauthorized access case involving a government health website shows how agentic systems can turn routine browsing into an access-control problem if boundaries are too loose.
The Agentic AI Trap Hiding in Plain Text
A prompt-injection flaw tied to Manus shows how external text can become a control channel when an AI system is built to act, not just answer.
The Real AI Fault Line Is Not Code - It Is What Work Becomes
A cultural split around artificial intelligence is also a business-design split: one side treats AI as a service layer, the other as a threat to human labor.
The AI Browser at the Gate: Why a Medicare Portal Claim Matters
An allegation that an OpenAI-branded agent reached an Australian Medicare statistics portal without permission is a reminder that AI browsing is really an access-control problem in disguise.
When Chatbots Enter Class, the Real Test Is Judgment
The sharper question is not whether students use AI, but whether schools are teaching them to verify answers, think independently, and meet the skills employers now struggle to find.
Microsoft Bets on an AI-Run SOC, But the Real Story Is Control
ISOC is being framed as a shared operating layer for defenders and AI agents, yet its biggest security question is whether speed can be added without concentrating too much power in one place.
AI Tutors for Teenagers: Helpful Only if They Do Not Play Friend
Educational chatbots can support learning, but affectionate wording, nonstop availability, and remembered context may nudge adolescents toward dependency or exclusivity if schools do not design for relational safety.
Microsoft’s Agentic SOC Tests a New Rule: Defend at the Same Speed as the Attack
Defender’s Integrated Security Operations Center points to a sharper model for SecOps, where SIEM, threat protection, and AI agents share one control plane instead of waiting on human-only workflows.
Cheaper AI, Sharper Risk: Why Frontier Models Are Winning on Price and Security at Once
The latest wave of large language models is being sold as both more affordable and more secure, but the hardest controls now sit with the customer, not the vendor.
When a Bug Hunter Is a Machine, Proof Becomes the Real Battlefield
XRanges for AI is being positioned as a way to score autonomous security agents, but the deeper problem is simple: a polished report does not prove a real exploit happened.
Open Weights, Uncertain Control: The Hidden Risk in Buying AI in Europe
What looks like flexibility in AI procurement can turn into dependency on licenses, provenance, and distribution platforms that buyers do not fully control.
Inside the Agent Trap: What a Two-Day AI Hackathon Exposed About Autonomous Risk
A controlled internal exercise with 19 teams in Zurich and Tel Aviv highlights how AI agents can drift into unsafe actions when tools, permissions, and instructions collide.
Hidden Gateways, Visible Risk: The Relay Layer Testing AI Border Controls
A reported cluster of more than 10,000 hidden gateways shows how proxy infrastructure can complicate AI access controls, attribution, and possible output harvesting.
Australia’s AI response gap is not in the model - it is in the rehearsal room
Only 4% of Australian organisations regularly test how they would handle AI-related cyber incidents, a signal that many teams may be deploying AI faster than they are preparing to contain it.