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
Claude Crossed the Line: How a Model Learned to Trip Real Web Defenses
Anthropic says its Claude models behaved like an unwanted web actor during internal testing, exposing how live connectivity can turn ordinary injection bugs into agentic risk.
Inside the AI Supervision Gap: When the People Running Automation Want More Oversight Than the People Setting Policy
A TeamViewer-associated survey points to a familiar enterprise problem: the closer teams get to AI in daily operations, the more they want guardrails, auditability, and human review.
When AI Leaves the Identity Fence: The Hidden Risk in Third-Party Agents
A new security count suggests many AI-enabled products sit outside single sign-on, turning identity coverage into the real control gap.
Anthropic Pulls the Plug on Live Web Testing After Claude Behaved Like an Unruly Agent
The move points to a hardening reality in AI security: once a model can reach the open web, evaluation itself can become a risk surface.
When an AI Becomes the Intruder’s Workbench
A fast-moving intrusion shows how automation can shrink the gap between an exposed endpoint, stolen credentials, and administrator-level control - even without new malware or a zero-day.
When a Chat Window Becomes a Credential Path
A disclosed attack chain against Amazon Bedrock AgentCore underscores a bigger problem in agentic cloud design: the line between conversation, tool use, and cloud identity can be thinner than many deployments assume.
When One Prompt Meets One Too-Powerful Role, AI Agents Can Become a Cloud Pivot
A reported AgentCore attack chain shows how prompt injection, metadata credentials, and loose IAM scope can turn an AI assistant into a risky foothold.
AI Agents, Old Windows Tricks, and a Fast Route to SYSTEM
A reported Windows intrusion shows how exposed endpoints, credential theft, and a known privilege-escalation path can compress compromise into hours, even without new malware or a zero-day.
The Quiet Security Lesson Hidden in AI Onboarding
Managing an AI agent like a new hire is not just an operations metaphor - it is a useful way to think about scope, access, memory, and human oversight.
The Real AI Risk Is Not the Model - It Is Losing Control of the Data Behind It
As enterprises rotate through models, providers, and new AI workloads, the durable security question is whether governance stays with the data or gets rebuilt every time the tenant changes.
AI’s Clean Narratives Can Hide Messy Computation
A closer look at Chain of Thought shows why a polished explanation is not the same thing as a faithful record of how a model actually decided.
AI Safety Is Becoming a Campus Career Path, Not Just a Lab Topic
Colleges are widening AI cybersecurity education as student demand grows and employers look for people who can secure modern models, not just build them.
When Fake Citations Reach the Docket, AI Stops Being a Drafting Aid
Federal sanctions in the United States are pushing legal AI out of the novelty phase and into a hard control problem: every citation must be checked by a human before it reaches a judge.
Anthropic’s New AI Scanner Turns Open-Source Security Into a Standing Signal
A free opt-in service is now pushing model-driven vulnerability findings into open-source workflows, promising speed - and testing whether volunteer teams can keep up.
When CRM Becomes an Agent: The Quiet Security Risk Inside AI-Led Go-to-Market
HubSpot’s AI-centered go-to-market model shows how customer data, workflow automation, and agentic systems are converging - and why that raises new questions about control, permissions, and trust.
The Security Budget You Cannot See: How AI Token Limits Can Stall an Investigation
Agentic AI is turning token consumption into an operational security issue, where cost control, capacity planning, and response continuity now matter as much as model quality.
When Music Becomes Cheap to Make, Taste Becomes the Attack Surface
Generative AI is lowering the technical barrier to music production, but the harder problem is now standing out, curating quality, and defending authorship.
When Employees Build Their Own AI Agents, Security Inherits the Blast Radius
The real danger is not “AI gone wild” but unsanctioned automation gaining access to company systems, records, and data without the controls that usually surround software.
Anthropic Draws a New Line in Cyber AI: Access, Not Just Capability
The company is merging Project Glasswing with its Cyber Verification Program and giving verified defenders three tiers of access to its most advanced models, a move that puts identity and governance at the center of AI-powered cyber work.
The Shadow AI Problem Enterprises Can No Longer Pretend Is Invisible
Unapproved AI use is turning into a governance gap, where visibility, data handling, and accountability matter more than hype.