#model poisoning

58 related articles

Aug 4, 2026·3 min

Claude Package Hallucination Vulnerability: AI Generates Fake Dependency Packages That Steal Real API Keys

Anthropic's Claude generates nonexistent package names during coding assistance, which malicious actors register to steal real API keys. Analysis of the attack chain and developer defenses.

Aug 3, 2026·3 min

Symbio: Technical Analysis and Challenges of the AI Self Fine-Tuning Loop

In-depth analysis of Symbio's AI self fine-tuning loop mechanism, exploring the technical logic of self fine-tuning loops, personalization value, and challenges like catastrophic forgetting and model drift.

Aug 2, 2026·3 min

Scanning 7.6PB of HuggingFace Data: A Hidden Key Crisis in AI Training Sets

A security audit of 7.6PB of HuggingFace training data uncovered massive API key and credential leaks. Analysis of risks, scanning challenges, and data supply chain security governance.

Jul 30, 2026·4 min

AI Agent Memory Systems: Genuine Technical Progress or RAG in Disguise?

In-depth analysis of AI agent memory systems: examining whether current improvements represent real progress or just RAG repackaged, and what architectural changes are truly needed.

Jul 29, 2026·3 min

Deep Analysis and Hardening Practices for 16 Critical Vulnerabilities in an AI Security Platform

An AI security platform was found to have 16 critical vulnerabilities spanning prompt injection, privilege escalation, and auth bypass. A deep dive into hardening methodologies.

Jul 28, 2026·3 min

GitHub Supply Chain Security Upgrade: A Deep Dive into npm and Actions Defense Mechanisms

GitHub upgrades supply chain defenses for npm and Actions with provenance attestation, least privilege enforcement, and anomaly detection to combat attacks.

Jul 28, 2026·3 min

GitHub Supply Chain Security Upgrade: A Deep Dive into npm and Actions Defense Mechanisms

GitHub upgrades supply chain defenses for npm and Actions with provenance attestation, least privilege principles, and anomaly detection across multiple layers.

Jul 28, 2026·3 min

Fast Remediation Replaces Zero Vulnerabilities: A New Trust Model for Software Security in the AI Era

In the AI era, zero vulnerabilities is unrealistic. Explore why fast remediation is becoming the new security trust model and how MTTR metrics are reshaping software supply chain security.

Jul 28, 2026·4 min

Microsoft Open-Sources AI Agent Governance Toolkit: Comprehensive Coverage of OWASP Top 10 Risks

Microsoft open-sources agent-governance-toolkit covering all OWASP Agentic Top 10 risks through policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for production AI Agent deployment.

Jul 28, 2026·2 min

Google's Beyond Zero: An Enterprise Security Framework That Goes Beyond Zero Trust for the AI Era

Deep dive into Google's Beyond Zero security concept, exploring how enterprises can move beyond traditional Zero Trust models in the AI era to address prompt injection, data poisoning, and other emerging threats.

Jul 27, 2026·3 min

DeepSeek Ignites Open Source vs. Closed Source Debate in Silicon Valley, Splitting Tech Giants into Rival Camps

DeepSeek's open source model shakes Silicon Valley. OpenAI defends closed source while Microsoft, NVIDIA, and Meta back open ecosystems. Analysis of the AI open/closed source debate, Apple-Micron chip tensions, and AI-driven historical disinformation.

Jul 27, 2026·2 min

LLM Agent Long-Term Memory Security: A Six-Stage Attack Surface and Defense Framework

Deep analysis of LLM agent long-term memory security threats, covering persistence, statefulness, and propagation of memory poisoning, with a six-stage lifecycle defense framework.

Jul 27, 2026·3 min

DeepSeek Ignites Open Source vs. Closed Source Debate in Silicon Valley, Splitting Tech Giant Alliances

Human-Centered AI: Real-World Implemen…

Jul 23, 2026·6 min

Human-Centered AI: Real-World Implementation in Healthcare and Design

An MSR workshop reveals the truth about AI deployment: from a $20 corneal diagnostic device to expert-in-the-loop chatbots, researchers share real-world experiences of AI in healthcare and design within resource-scarce environments.

Jul 23, 2026·6 min

The Boundaries of AI Coding: When Should You Show Yourself a Red Card?

As AI coding assistants like Codex become standard, the risks of overreliance grow too. Learn when developers should "show a red card," reclaim control, and safeguard code quality and responsibility.

Jul 21, 2026·2 min

Cursor 0-Day Vulnerability: Opening a Repository Silently Executes Malicious Code — Developers Beware

A critical 0-day in Cursor AI editor lets attackers execute code just by having you open a malicious Git repo. Learn how it works and how to protect yourself.

Jul 20, 2026·3 min

OWASP Agentic Security Top 10 Deep Dive: Understanding ASI01–ASI10 Risks and Mitigations

A comprehensive breakdown of the OWASP Agentic Security Top 10 framework, covering ASI01–ASI10 risks including goal hijacking, tool misuse, identity abuse, supply chain vulnerabilities, and cascading failures — with practical mitigations for AI agent systems.

GODMODE Project Deep Dive: AI Jailbrea…

Jul 19, 2026·2 min

GODMODE Project Deep Dive: AI Jailbreaking Techniques and the Security Arms Race in Large Language Models

GODMODE (G0DM0D3) has 9,300+ GitHub stars fueling debate on AI jailbreaking vs. safety alignment. A deep technical dive into LLM guardrails, prompt injection, and AI security governance.

The Guardian Angels Framework: How LLM…

Jul 18, 2026·3 min

The Guardian Angels Framework: How LLM Personalization Can Achieve Both Efficiency and Data Security

The Guardian Angels framework shows how LLM personalization can achieve both productivity and data security through local deployment, differential privacy, and tiered permissions.

Jul 17, 2026·2 min

LLM Red Teaming: One-Time Snapshot or Continuous Adversarial Testing? A Complete Guide

Every prompt or RAG change in an LLM app can reintroduce security flaws. This guide explains why traditional pentest logic fails on LLMs and how to build change-driven continuous adversarial testing.