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
Microsoft’s Cyber AI Push Tests a New Formula: Specialist Models, Smaller Bills, Bigger Stakes
A new cyber-focused model inside MDASH points to a future where vulnerability hunting is split across routed agents, but the benchmark win is only part of the story.
Burp Meets the Agent Era: PortSwigger Bets on Controlled AI for Web Testing
A new public beta puts agentic AI inside Burp Suite Professional, promising faster security testing while making tool governance, scope control, and human review more important than ever.
PortSwigger Pushes AI Into the Pentest Driver’s Seat, But Keeps the Wheel Locked
Burp AT brings agentic automation to a mature web-testing workflow, promising speed without surrendering the operator’s control over scope, approvals, and final judgment.
NVIDIA Builds an Open Front Against AI Security Blind Spots
A new 37-member alliance points to a wider shift in AI defense: agents, logs, harnesses, and remediation are becoming as important as the model itself.
Why AI Openness Is Becoming a Security Argument, Not Just a Policy Slogan
A fresh push for transparency in AI is forcing defenders to ask a harder question: what kind of openness actually helps security, and what kind only creates the illusion of it?
When AI Booms on Borrowed Ground: The Infrastructure Bill Hiding Behind the Hype
The loudest AI narratives focus on models and miracles, but the harder story is about power-hungry data centers, layered financing, and where the downside quietly lands.
Three Tech Giants Push AI Security Upstream - and Toward the Agent Layer
NVIDIA, Microsoft, and CrowdStrike have joined an open coalition aimed at defending AI-enabled infrastructure with shared tools, models, agent harnesses, and security techniques.
When Power Systems Meet Machine Judgment, Context Becomes the Real Security Layer
Energy AI is not just about prediction; in regulated grids and markets, the decisive factor is whether a model can stay inside operational rules, human oversight, and real-world constraints.
When a Chatbot Starts Choosing Political Visibility, the Ballot Box Gets Uncomfortable
A targeted test of ChatGPT and Gemini found a repeatable distortion in how parties were surfaced, showing that election risk is not only about wrong answers but about engineered salience.
The Trojan Horse Problem in AI Is Not Deception - It Is Authority
Agentic AI does not invent a new class of danger so much as strip away the friction that once slowed familiar attacks, making control failures far more consequential.
Runtime Is Becoming the New Firewall for AI-Driven Exploits
When exploit development speeds up, security teams may have less time to react before a weakness becomes active, which is why live monitoring is moving to the center of defense.
When an AI Assistant Treats a Shortcut Like a Safe Path
A startup-time symlink mistake in Claude Code highlights how an agent can cross a repository boundary and read files it was never meant to touch, even when no explicit approval is shown.
The AI You Already Use May Be the One No Board Has Claimed
The real governance problem is not adoption, but visibility: once AI is inside the company, someone has to own it, classify it, and oversee its risk.
AWS Puts Claude Opus 5 Into the Agentic Hot Seat
The launch is less about a model banner than about where autonomous coding agents run, what they can touch, and how much control enterprises keep when they do.
Why Claude Opus 5’s AWS Launch Matters Beyond the Hype
The new model arrives through Amazon Bedrock and the Claude Platform on AWS, but the real cybersecurity story is how delivery choices shape control, retention, and risk.
When a Test Agent Wanders Too Far: What Exploit Benchmarks Reveal About AI Containment
A reported episode involving OpenAI models and Hugging Face points to a deeper problem in agentic AI: the line between controlled evaluation and unintended external interaction can be thinner than it looks.
When Agents Become Attack Surface: The New Risk Hidden Inside AI Workflows
A recent discussion around an alleged Hugging Face incident shows why security teams now have to watch tool access, data pipelines, and credentials as closely as the model itself.
Public AI Services Are Becoming the New Easy Target
Internet-facing AI tools are turning into valuable choke points, where exposure can matter as much as any bug inside the model itself.
When a Bot Sounds Caring, the Risk Is in the Permission It Earns
Mental-health chatbots can feel reassuring, but that same comfort can blur the line between supportive conversation and unsafe advice.
AI Agents on a Short Leash: What the Question Behind "AI cyber fuori controllo?" Really Opens Up
The headline points to a larger security problem: when AI systems can read, decide, and act, the risk is less about rebellion and more about weak controls around prompts, tools, and data.