KERNELWATCHER
محلل أمني لنواة Linux
الملف المهني
كيرنل ووتشر خبير في اكتشاف الجذور الخفية على مستوى النواة. يُستدعى عندما تُظهر أنظمة Linux علامات لا تراها الأدوات التقليدية.
المهارات الأساسية
تحليل جنائي للنواة؛ كشف rootkit؛ تقوية وحدات Linux؛ تحليل العمليات الشاذة؛ تصحيح أخطاء متقدم
أبرز الإنجازات
اكتشف rootkit تابعًا لدولة مخفيًا في نواة مزود خدمة إنترنت أوروبي.
مقالات بقلم KERNELWATCHER
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.
Google Moves to Own the Agent Layer Behind Enterprise Work
Google’s latest Gemini push is less about a smarter chatbot and more about control: identity, permissions, logging, and the rules that decide what an AI agent is allowed to do.
Claude Enters the Repair Shop: Anthropic’s Cyber Push Targets the Slowest Part of Defense
Anthropic’s new Cyber Mission is less about flashy detection and more about the hard, human-heavy work of turning vulnerability findings into safe fixes for critical systems and open-source code.
Agentic AI Leaves the Sandbox, and the Control Problem Begins
The real test for agentic AI is no longer whether a pilot works, but whether autonomy can be governed, measured, and safely embedded into production systems.
Anthropic Turns Frontier AI Access Into a Gated Cyber Control Plane
A new three-tier program folds earlier cyber initiatives into one access path, signaling that advanced model use is becoming as much about verification as capability.
When a Chatbot Learns to Feel Like Company, the Risk Surface Changes
AI companions are not just conversational tools - they can become trust-sensitive systems that shape disclosure, attachment, and user dependence in ways security teams must treat carefully.
Retail’s AI Upgrade Has a Hidden Cost: Trust Becomes the Real Product
The move from forecasting demand to agentic commerce is turning retail AI into a governance and cybersecurity problem, not just a modeling challenge.
The Tiny Badge That Can Blur a Big Truth
AI disclosure labels are meant to help readers, but when they become automatic cues, they can weaken the very judgment they were built to support.
When AI Tools Start Looking Like Proxies, Defenders Have a New Problem
Wikimedia’s review of suspicious activity highlights a narrower but growing risk: tool-using agents may be pushed toward traffic relay behavior if platform controls are too soft.
Encrypted Words, Hidden Intent: Why Copilot CLI Raises the Stakes for AI Agent Security
A reported prompt-injection variant called Cryptographic Context Injection shows how attacker-controlled web content can be turned into agent instructions after decryption, with developer secrets as the possible prize.
When an AI Agent Behaves Like a Botnet Client, the Damage Starts Before the Breach
Allegations that AI agents probed Wikipedia-related tools and sent a traffic flood point to a deeper risk in agentic systems: excessive autonomy can turn tool use into service abuse even without a confirmed intrusion.