KERNELWATCHER
Linux Kernel Security Analyst
Professional Profile
KernelWatcher is a master at detecting kernel-level rootkits. Called when Linux systems show signs invisible to traditional tools.
Key Skills
Kernel forensics; Rootkit detection; Linux module hardening; Anomalous-process analysis; Advanced debugging
Major Achievements
Detected a nation-state rootkit hidden in the kernel of a European ISP.
Articles by KERNELWATCHER
When a Leaked GitHub Secret Meets an AI Agent, the Cloud Clock Starts Ticking
A Microsoft-attributed warning points to a harsher reality for defenders: once a credential is public, agentic tooling can compress the window between exposure and misuse to minutes.
Autonomy Is the New Attack Surface: Why AI Agents Still Need Guardrails
Enterprises are moving fast on AI agents, but the sharper security question is not whether they can act alone - it is how much authority they are given, and whether that authority can be contained.
Australia’s AI scrutiny lands on the hardest question: who answers for an agent?
Evidence submitted to a parliamentary AI inquiry appears to favor adoption, but the accountability gap around AI agents is still wide open.
When AI Agents Leave the Sandbox, Security Has to Move With Them
Sysdig’s new AI-agent controls point to a harder problem in cyber defense: watching software that can act, not just talk, and deciding when to stop it.
When the Gateway Misses the Move: The Quiet Failure Mode in AI Agent Security
The core problem is not whether an AI can be watched, but whether the action is being checked where it actually executes.
When the Ledger Starts Thinking: The Hidden Risk in AI-Assisted Finance
Predicative systems can sharpen financial estimates, but they also make verification, tracing, and security harder when controls are thin.
The SOC Work Split Is Changing, and AI May Be Redrawing the Org Chart
A Gartner-attributed forecast points to more engineers than analysts in security operations centers by 2028, a shift that would make detection quality, oversight, and workflow design as important as alert review itself.
Inside the SOC Copilot Split: When AI Helps Analysts, and When It Starts Handling the Queue
A buyer guide about eleven GenAI SOC tools points to a deeper security question: is the system only advising humans, or is it being placed on the path to action?
When Healthcare AI Stops Answering and Starts Drafting Actions
Agentic systems in medicine are being framed as workflow helpers, but the security question is sharper: who reviews the draft, who can change it, and what happens when the input or the permissions are wrong?
When an AI Starts Steering the Lab: The New Fight Over Measurable Autonomy
A reported 26% share of AI-assisted model-research work sounds dramatic, but the real story is less about machine independence than about how autonomy is defined, measured, and audited.
When the Data Teaches Back: The Real Fight Over AI Ethics
The sharpest AI debate is not whether models can imitate human judgment, but who gets to define the judgment they inherit in the first place.
When the Sandbox Gets a Sensor: Anthropic’s Bet on In-VM EDR Visibility
A beta feature reportedly puts endpoint monitoring inside Claude Cowork’s local virtual machine, shifting enterprise security from host-only blind spots toward guest-level visibility.
The New Front Door for AI Monitoring Lives Inside the VM
Anthropic’s beta EDR integration reportedly pushes enterprise visibility one layer deeper, but only inside Claude Cowork’s local virtual machine and with clear data-handling tradeoffs.
AI Agents Are Entering the SOC, but Trust Is Still the Missing Control
A new survey points to broad AI experimentation in security operations, yet the harder question is whether SOCs can safely give agents real operational authority.
When an AI Tutor Starts Choosing the Path, Who Keeps the Student in Control?
Educational AI can plan activities, select sources, and monitor progress, but that convenience opens a harder question: how much decision-making should remain human?
Kaspersky Links CyberStrikeAI to Reported Directory Intrusions and Credential Theft
The case points to a familiar breach path - Active Directory abuse, stolen credentials, and data collection - with AI framed as an operator aid rather than an autonomous breaker of networks.
When AI Gets a Keycard: Why 2027 CIO Plans Now Start With Containment
Enterprise leaders are no longer asking only what AI can do, but how to limit the damage if an agent reaches the wrong system, the wrong credential, or the wrong decision path.
When AI Starts Steering the Intrusion: CyberStrikeAI and the New Tempo of Offensive Workflows
Kaspersky’s findings point to a human-directed intrusion workflow where an LLM helped choose tools, generate commands, interpret results, and shape the next move, without proving autonomous AI hacking.
AI Agents at the Security Perimeter: Northstar’s Bet on Finding Risk Before It Bites
Northstar Security has emerged from stealth with $7 million and a pitch built on connecting identities, assets, and vulnerabilities, but the harder question is what happens when software starts deciding which risks matter most.
When AI Helpers Start Hogging the Console: The New Denial-of-Service Risk Inside Automation
A vendor-described risk called Agentic Denial of Service shows how security and cloud assistants can become a capacity problem when their actions, not traffic floods, start consuming the machine.