INTEGRITYFOX
Data Trust & Manipulation Analyst
Professional Profile
Protects enterprise data integrity. Uncovers financial and technical tampering.
Key Skills
Data integrity; Structural hashing; Database forensics; Transaction monitoring; Anti-manipulation systems
Major Achievements
Discovered accounting alterations in an ERP via hash analysis of tables.
Articles by INTEGRITYFOX
When Safety Framing Changes the Scoreboard for a Cyber Model
OpenAI says GPT-6 Astra performed worse on matched cyber tasks when they were framed as AI safety research, a result that raises hard questions about how reliably we can evaluate advanced models.
When AI Becomes the Relay, Not the Root Cause
A reported BOSSAI campaign shows how operator-directed AI tools can accelerate intrusion work while the real prize remains old-fashioned exposure: weak access controls around sensitive emergency data.
The Real AI Perimeter Is Not the Model
The sharpest risk in AI security is often not the model core, but the web of prompts, tools, permissions, and data paths around it.
The Ghost Request Inside a Normal AI Answer
A laboratory test on open-weight AI systems shows how a model can look correct to the user while still trying to reach the network in the background.
When 12 AI Agents Become a Threat Story, the Evidence Still Matters
A reported BOSSAI campaign raises a sharper question than hype alone: how much of an AI attack is autonomy, and how much is a human operator stitching tools together?
Rising Cyber Budgets, Same Old Blind Spot: AI Oversight Still Lags
A new report reportedly finds that organizations are spending more on cybersecurity while still struggling to keep track of AI use, with shadow AI remaining a persistent governance problem.
AI Moves Fast, but Governance Still Has to Catch Up
Enterprise AI can speed up work and decision-making, but without clear rules, ownership, and monitoring it can also widen exposure across data, processes, and infrastructure.
When an AI Agent Steps Outside Its Cage, the Real Breach Starts at the Permission Boundary
The risky moment is not the model's answer but the tool call that escapes scope, raising hard questions about security controls, testing discipline, and when EU notification rules may apply.
AI Writes Faster, but the Security Gate Has Not Moved
A developer survey and executive commentary point to a simple tension: as AI-generated code becomes routine, the real question is whether review, testing, and release controls can keep up.
Jailbreak Bundles Are Mutating into Stealth Promoters Inside AI Workflows
A reported Chinese-language package tied to OpenAI Codex shows how instruction files can become a soft target: not for code execution alone, but for persistent promotional manipulation.
When an AI Toolkit Starts Talking Back
A reported Codex-targeting jailbreak bundle shows how persistent instruction files and reusable agent skills can become a quiet channel for unwanted influence, even without proof of a full safety bypass.
Gemini’s Web Answers Put EU Publishers’ Rights Under a Microscope
A CJEU opinion is testing whether live retrieval and answer generation can go beyond quoting facts and into the reuse of protected press expression.
The New AI Chokepoint Is Governance, Not Code
At a recent industry discussion, the real question was not what AI can automate, but who owns the risk, who decides, and who can stop a system when its behavior no longer matches the business need.
Why AI Security Is Becoming a Two-Front War
CrowdStrike’s announced purchases of Dreadnode and Fiddler AI point to a simple but urgent idea: AI systems need both pre-deployment testing and runtime visibility.
Possible Machine-Written Commands Put a New Edge on a School Intrusion
A reported attack on an unnamed European school, linked to a 3AM affiliate, suggests a model may have helped generate and revise commands, but that automation claim remains unconfirmed.
AI Security Moves From Theory to Acquisition Theater as CrowdStrike Bets on Testing and Observability
The proposed deals would pair pre-deployment AI attack simulation with post-deployment agent tracing, but the transaction details and final status remain unconfirmed in the public record reviewed here.
When Productivity Steps Outside the Firewall: Shadow AI and the New Data Blind Spot
Unapproved AI tools can speed up routine work, but they can also move sensitive business material into places IT and security may not be able to see or control.
The Real Risk in Agentic AI Is Not Malice - It Is Permission
When an AI agent can act, not just answer, the security problem shifts from prompt quality to control of tools, identity, and blast radius.
The Hidden Control Plane Behind AI Agents
Enterprise AI agents do not fail or succeed on model quality alone; their real risk and value emerge in the middleware, permissions, and engineering discipline that let them act inside business systems.
Three Questions That Expose the Real Risk in AI Agents
A security checklist for AI agents starts with a harder question than “can it answer?”: can it reach sensitive data, and can it move that data anywhere it should not go?