INTEGRITYFOX
Analista de confianza y manipulación de datos
Perfil profesional
Protege la integridad de los datos empresariales. Descubre manipulaciones financieras y técnicas.
Competencias clave
Integridad de datos; hashing estructural; análisis forense de bases de datos; monitorización de transacciones; sistemas anti-manipulación
Logros principales
Descubrió alteraciones contables en un ERP mediante análisis hash de tablas.
Artículos de INTEGRITYFOX
Meta’s WhatsApp Agent Is a Front Desk - and That Changes the Threat Model
The new business assistant is built for questions, bookings, and lead capture, which makes it powerful for service commerce and valuable to attackers who target trust, identity, and workflow automation.
Claude Agents Move Into the Workplace, and the Risk Surface Grows With Them
A practical enterprise guide frames Claude agents as more than chatbots: systems that can plan actions, use external tools, and plug into operational workflows, with security and ROI now part of the design brief.
When AI Becomes the Junior Developer: A University Project Points to a New Skill Boundary
A LUMSA thesis developed with YouStart suggests generative AI can help speed up immersive app prototyping for Apple Vision Pro, while turning design, communication, and UX knowledge into more operational software skills.
When AI Rules Depend on Goodwill, the Gaps Become the Story
A CRS review of Executive Order 14409 puts the spotlight on a familiar cyber problem: policy can name a risk long before it can force anyone to manage it.
When Classroom AI Starts Collecting More Than Homework
Italian schools are testing AI for creative work and early learning support, but the real battleground is data governance: who sees student inputs, how long they live, and whether minors can be profiled safely.
Italy’s AI Dilemma: Plenty of Pilots, Not Enough Control
Artificial intelligence is already present inside public administration, but the harder task is turning scattered experiments into governed, secure, and repeatable services.
One Email, Two Lives: How AI Memory Can Be Quietly Rewritten
A reported MemGhost technique shows why inbox-connected assistants are no longer just reading mail - they may be turning it into durable state.
When Chat Becomes a Workspace, the Security Model Changes
A personal AI that remembers, uses tools, and follows procedures is no longer just a chatbot - it becomes a governed control plane with new risks.
When Hiring Software Starts Choosing People Before Humans Do
AI can speed up recruitment, but in selection workflows it can also harden old biases, hide decision logic, and push qualified candidates out before a recruiter ever looks at them.
Logs That Catch AI Scanners Before They Break In
Apache and ModSecurity telemetry can reveal reconnaissance aimed at MCP servers, assistant credentials, and open LLM endpoints before any confirmed compromise.
Legal PDFs, Silent Prompts, Real Risk: Why Court Documents Can Bend AI Workflows
A legal filing is usually built for human review, but once it enters an AI pipeline it can become untrusted machine context, and that shift is where prompt injection starts to matter.
Europe Turns Deepfake Defense Into a Compliance Problem
The EU is moving synthetic media out of the gray zone by tying AI transparency to labels, provenance controls, and machine-readable disclosure.
When AI Projects Stall, the Weak Link Is Often Human
A closer look at why AI readiness depends on governance, workflow design, and employee behavior as much as on the model itself.
Twilio’s New Conversation Layer Turns Customer Data Into a Security Problem, Too
The platform update is about orchestration and memory, but it also sharpens the questions security teams must ask about identity, retention, and AI-driven handoffs.
Voice AI Is Not Just a Mic on a Chatbot - It Is a New Security Boundary
The split between conversational AI and voice AI matters because the real risk is not the label, but the layers beneath it: speech handling, shared memory, orchestration, and the controls around them.
The Real Measure of AI Support Is Not Speed - It Is Whether the Call Ends
When conversational systems are built to reply quickly instead of resolve requests, they can leave users repeating themselves while the real work never happens.
When the Chatbox Becomes a Workbench, Security Moves to the Front Line
ChatGPT Work and OpenAI’s GPT 5.6 tiers point to a bigger shift: AI is no longer just answering prompts, but touching files, apps, and governed business workflows.
The Real AI Bottleneck Is Not the Model - It Is Proving the Gain
Novo Nordisk’s process-mining experiment shows why enterprise AI often struggles with ROI: without baselines, telemetry, and end-to-end workflow visibility, speed at one step can vanish into complexity elsewhere.
The Hidden Layer That Decides Whether Enterprise AI Lies or Learns
The most important security control in modern AI systems may not be the model at all, but the business context wrapped around it: curated data, permission boundaries, and rules that keep raw enterprise noise from becoming confident nonsense.
Why CIOs Are Rewriting the AI Playbook Before the Agents Start Acting
Omnicom CIO Leif Maiorini’s warning is simple: when AI moves from advice to action, the real risk shifts to governance, permissions, and process design.