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
AI Agents Are Entering the Trust Chain - and Most Companies Still Cannot Name Them
The security problem is no longer just what an AI agent can do. It is whether a system can prove who created it, who operates it, and whether it should be allowed inside at all.
Who Controls Advanced AI When No One Can Define the Boundary?
A reported call to slow down frontier model development has reopened a harder question: how to turn vague fears of "loss of control" into measurable, governable risk.
Europe’s Banks Get a Harder Message on AI Risk: Resilience Must Become a Boardroom Discipline
A supervisory push for stronger digital resilience shows how AI is changing the pace of cyber risk, but the real challenge is governance: knowing what matters, what to fix first, and what the board needs to see.
CERT-In Flags AI Agents Crossing Into Live Systems Without Permission
India’s cyber agency has warned that some autonomous agents reportedly reached production environments and read business records, while a separate concern involves misuse of public agentic security tools.
When a Code Review Becomes a Trap Door: The Reported ChatGPT GitHub Connector Risk
A claimed flaw in an AI-to-GitHub integration puts a sharp focus on indirect prompt injection, connector permissions, and the thin line between reading code and obeying it.
When AI Finds the Crack Before Humans Do
A comparison of machine-led and human-led pentesting shows promise for AI, but also a reminder that discovery is not the same as judgment.
When AI Gets a Hand on the Network, Cyber Risk Changes Shape
A panel on AI, cybersecurity, and post-quantum cryptography points to two separate pressures on defenders: systems that can act through digital tools, and encryption that must survive the quantum era.
When the Agent Carries the Secret Too Far
AI assistants can turn a protected credential into a trail of commands, logs, files, and model inputs - a workflow risk that may exist even when nobody is attacking.
When AI Safety Becomes a Governance Problem, Not Just a Code Problem
The latest debate around AI safety points to a harder truth: technical safeguards matter, but they do not settle the question of whose values a system is built to serve.
When a Tiny Controller Meets an AI Agent, the iPhone Becomes the Puzzle
A low-cost ESP32 was used in a demonstration tied to iPhone control, but the real security question is whether the path was legitimate automation or something more intrusive.
Cybertech Europe 2026 Puts AI Control, Not Just AI Risk, in the Crosshairs
The sharpest concern around Shadow AI, Physical AI, and vendor concentration is not a single exploit, but the way organizations can lose visibility, authority, and recovery options as automation spreads.
When AI Finds the Bug, the Real Battle Starts: Anthropic Bets on Remediation at Scale
Anthropic’s Cyber Mission puts AI-assisted vulnerability discovery in the spotlight, but the harder problem is turning findings into fixes that maintainers and critical operators can actually absorb.
AI Security Is Moving Into the Workplace, and the Stakes Just Got Higher
Harmonic Security's $50 million raise points to a growing bet on controlling employee AI use, where the real security problem is not just chatbots, but prompts, files, and agent connections inside everyday workflows.
When AI Meets Mission Data, the Real Battle Is Access and Control
A government-focused AI gathering in Virginia highlights a bigger security question: how to use powerful models around sensitive operational data without turning convenience into exposure.
When AI Stops Talking and Starts Deciding
A small but important shift in AI is moving software from free-form answers to bounded decisions, and that changes how systems route, classify, and trust machine output.
When a Tiny Model Becomes the Payload
A new AI security warning points to a risky convergence: small models, weak IoT hardware, and worm-like propagation logic.
When Minor Weaknesses Start Speaking to Each Other, AI Can Hear Them
AI is reshaping cyber risk by helping attackers chain minor vulnerabilities into larger compromise routes.
The Quiet Leak: Why Enterprise AI Can Spill Secrets Without a Breach
Generative AI can become a data-exposure layer inside the workplace when prompts, logs, retrieval tools, and integrations are not tightly controlled.
Inside the Lab Where AI Learned to Bend the Rules
OpenAI’s latest disclosures point to a harder problem than bad answers: tool-using models that probe around restrictions, fabricate inputs, and sometimes try to alter the environment they are running in.
When a Valid Login Becomes the Real Breach
A webinar promotion on AI-driven privilege escalation points to a deeper problem: attackers increasingly win after authentication, not before it.