AI
Fine-Tuning LLMs: Answers to Eight Technical Questions
Fine-tuning adjusts model weights for specific tasks but rarely improves general reasoning, creating a hidden cost in maintenance and evaluation overhead that many teams overlook.
AI
AI
How AI Model Monitoring Works: The Hidden Mechanics
Monitoring detects statistical drift, not logical errors, meaning a model can be statistically stable while producing harmful or incorrect outputs that bypass standard checks.
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How Training Data Leakage Works: A Step-by-Step Mechanism
Models memorize specific data points rather than general patterns, allowing attackers to reconstruct private information from standard model outputs without accessing source code.
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Secure AI Agents: A Step-by-Step Implementation Plan
You must treat AI agents as privileged code execution contexts, not just text generators, to prevent silent data exfiltration and unauthorized system changes.
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Securing AI Agents: Definition, Architecture and Control
Define agent security boundaries, map control points to data flows, and identify where standard application defenses fail to protect autonomous reasoning.
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AI orgs hit as 3,400 servers turned into crypto-mining and scanning hubs by Canto Incognito
The Canto Incognito campaign has infected thousands of exposed AI and LLM servers, using them to mine cryptocurrency and scan for further targets.
AI
OpenAI and Ironclad collaborate to test AI agents on enterprise contracting tasks
The partnership focuses on training and evaluating autonomous agents for complex professional workflows, aiming to advance computer use capabilities.
AI
Western media faces top-rated AI influence ops from Iran, Russia per OpenAI's first high-severity alert
OpenAI has flagged coordinated influence operations by Iran and Russia as its highest-rated threats, marking the first time it has used this severity classification.