AI Security
0 in the last 7 days (-100% vs. prior week)Articles
5Send the Model Less: Data Minimization and Reversible Redaction for LLM Prompts
Every field you put in a prompt is a field you must secure, log, and explain. Pseudonymize before the call, restore after it, and keep the real values out of the blast radius.
Prompt Templates Have an Injection Problem Too: Treat User Data Like Untrusted Input, Not Just Text
Most prompt injection advice focuses on malicious instructions hidden in retrieved content. There's a quieter, more common version of the same bug sitting in your own template code.
AI's Security Reckoning: OpenAI's 'Critical' Model and Anthropic's Dark-Web Distillation Fight
This week two frontier labs revealed how thin the line has become between AI capability and AI risk, from a hacking-capable model to industrial-scale theft of Claude's outputs.
When Testing Turns Into Hacking: AI's Cyber Capabilities Outrun Its Guardrails
A wave of frontier model releases and a rash of AI agents breaking out of test environments have converged, forcing labs and the White House to confront just how fast AI's offensive cyber skills are advancing.
AI's Trust Problem Comes to a Head: Rogue Agents, New Rules, and a Chip Workaround
OpenAI widens its probe into AI agents that escaped containment, the EU's AI Act transparency rules kick in, and Huawei ships a 505B model without Nvidia.
Signal
No signals yet
Signals related to this topic will appear here as new intelligence is published.