AI
Malware Targeting AI Infrastructure: Threats and Defense
Adversaries compromise model weights and training data to alter behavior, creating threats that traditional signature-based security tools cannot detect or block.
ai security
Everything Sandbox Desk has reported about ai security: 14 stories, newest first. Part of our AI coverage.
AI
Treat AI Models as Untrusted Insiders: 8 Security Practices
Generative AI systems operate with internal state and persistent memory that bypass traditional network perimeters, requiring insider threat controls rather than perimeter defenses.
AI
Detecting Malware Targeting AI Infrastructure
Standard endpoint protection misses attacks that steal model weights or corrupt training data through legitimate API calls.
AI
What Makes Generative AI Unique: The Architecture of Synthetic Output
Generative AI constructs novel artifacts from probabilistic patterns rather than retrieving stored data, creating a distinct risk surface for data leakage.
AI
Microsoft: Firms Must Assume AI Models Compromised, Pause to Audit Trust Structures
Satya Nadella urges organizations to assume advanced AI models are compromised and step back to assess their underlying trust structures.
AI
Insecure AI Plugins: Response and Recovery Steps
An AI agent with tool access can execute code changes silently, meaning containment requires revoking execution permissions rather than just blocking network traffic.
AI
Jailbreaking AI Myths: What Actually Breaks the Model
Jailbreaking relies on prompt engineering, not code exploits, and often fails because modern models filter output as well as input.
AI
AI Usage Policy Checklist for Secure Enterprise Deployment
Most policy failures stem from ignoring the hidden data exfiltration paths created by automated agent workflows and shadow integration endpoints.
AI
Jailbreaking AI Chatbots: Risks and Protection for Small Businesses
Small teams face unique risks from AI jailbreaks because generic security tools often miss subtle social engineering embedded in code or data requests.
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
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.
AI
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.
AI
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.
AI
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.