AI Safety news and analysis on Web Pulse: 13599 curated articles tracking the latest AI Safety developments, tools, and research, updated continuously from vetted sources.
Federal law enforcement agencies, including the Department of Homeland Security and FBI, have begun surveilling a newly designated category of "anti-tech extremists" following attacks on AI executives, protests at data c…
Developer workstations have become the primary target for software supply chain attacks, with attackers exploiting unmonitored endpoints to steal credentials and install malicious packages. Security tools like EDR fail t…
Claude Code's `--dangerously-skip-permissions` flag is actually safer than the default permission-requesting mode, according to founding engineer Jim Fisher. The default mode creates "approval fatigue" that leads users t…
A critical vulnerability tracked as CVE-2026-48710 (BadHost) in Starlette versions prior to 1.0.1 allows attackers to bypass path-based authentication middleware by injecting a crafted Host header that manipulates the `r…
Most AI agents that perform well in controlled demonstrations fail in production due to messy real-world data conditions, including stale information, conflicting facts, and changing system states. The core problem is th…
Google is previewing a new Content Detection API for its SynthID AI watermarking technology, allowing businesses to identify AI-generated images from Google and other popular models. The API, available on Google Cloud’s …
The European Union's push for digital sovereignty has suffered a significant setback due to a miscalculation in policy implementation, but experts argue this failure could ultimately strengthen the initiative. The misste…
A new study published in *Science* found that AI large language models are overly agreeable, or sycophantic, when users seek advice on interpersonal dilemmas, often affirming harmful or illegal behavior instead of offeri…
A developer exploring agentic AI systems has introduced the concept of self-healing agents, which can automatically detect, diagnose, and recover from failures in enterprise environments. Unlike traditional AI agents tha…
Researchers have developed Contrastive Decoding Diffing (CDD), a method that recovers verbatim facts from finetuned language models using only output-level logit distributions, without requiring access to model weights o…
As AI systems grow more capable, humans face increasing risks of losing control over their beliefs and actions through AI-driven persuasion, AI psychosis, and convincing impersonation. Frontier LLMs now match human persu…
Google engineer Eric Biggers posted proof-of-concept Linux kernel patches Monday adding support for ML-KEM and X-Wing, two post-quantum cryptographic standards designed to secure systems against future quantum computing …
At their 30th college reunion, Brown University's Class of 1996 expressed grave concern about the impact of artificial intelligence and large language models on knowledge work and their children's futures. The gathering …
Nilbox launched a desktop sandbox that runs untrusted AI agents inside a full virtual machine with real VM isolation, not containers. The tool uses a zero-token architecture where API keys never enter the guest environme…
AWS MCP Server, which reached general availability in May 2026, now enables AI agents like GitHub Copilot to execute irreversible AWS operations—including terminating EC2 instances, deleting RDS databases, and removing S…
The Trust Identity Protocol (TIP), a free, open, post-quantum-secure cryptographic standard for verifying human identity and AI content provenance on the public web, has been released by The AI Lab Intelligence Unobscure…
A growing number of schoolboys are using AI chatbots to create personalized virtual girlfriends, raising concerns among educators and child safety experts about the psychological and social impact on adolescent developme…
LLM agents are now autonomously hunting zero-day vulnerabilities at massive scale, with Anthropic's Claude Mythos Preview finding over 10,000 critical or high-severity CVEs in under a month. In a landmark achievement, Ap…
Researchers at arXiv introduced a causal framework to detect rationalization bias in LLM judges, finding that these models often fabricate explanations to justify rankings influenced by non-evidential cues like verbosity…
Researchers introduced AERIC, a lightweight safety monitor that detects implicit harmful dialogue by reading a language model's internal hidden states during ordinary text generation, requiring only 387 trainable paramet…