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AI Security Blog

The Invisible Threat: Why Backdoor Weights in Transformer Models Are Impossible to Detect
// 2026-02-03

The Invisible Threat: Why Backdoor Weights in Transformer Models Are Impossible to Detect

#ai-podcast #llm-security

Modern transformer models ship with billions of opaque parameters and undisclosed training data. This post explains why backdoor weights are effectively impossible to verify and why runtime guardrails are mandatory even if you sanitize prompts.

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The Ralph Loop: How Agentic Automation is Reshaping Both Malware Development and Cyber Defense
// 2026-01-25

The Ralph Loop: How Agentic Automation is Reshaping Both Malware Development and Cyber Defense

#ai-podcast #agentic-ai #threat-intel

The Ralph Loop pattern is accelerating both malware development and cyber defense. This post unpacks how agentic automation is being weaponized by threat actors, and how security teams can adopt the same architecture—Ralph-style loops, guardrails, and agentic orchestration—to keep pace.

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Agentic AI as an Attack Surface: Why LLMs Need Containment, Not Trust
// 2026-01-16

Agentic AI as an Attack Surface: Why LLMs Need Containment, Not Trust

#ai-podcast #agentic-ai #llm-security

Agentic AI systems are quietly turning every connected system into a larger attack surface. This post breaks down direct and indirect prompt injection and the concrete patterns security teams should enforce: containment, input/output filtering, least privilege, and zero trust for agents.

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2026 AI Security Predictions: What Vendors and Researchers Are Forecasting
// 2026-01-04

2026 AI Security Predictions: What Vendors and Researchers Are Forecasting

#ai-security #agentic-ai #ai-governance

A distilled summary of 2026 AI security consensus from leading vendors—the attack vectors and threats most organizations will face.

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From Chatbots to Cyber Weapons: What OpenAI’s ‘High-Risk’ Warning Really Means for Security Teams
// 2025-12-19

From Chatbots to Cyber Weapons: What OpenAI’s ‘High-Risk’ Warning Really Means for Security Teams

#ai-security #llm-security #ai-governance

OpenAI just acknowledged that its next-generation models are likely to pose a “high” cybersecurity risk. This post breaks down what that really means: LLMs as dual-use cyber infrastructure, the offense–defense balance, and how to architect your AI stack under an assumed high-risk model.

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Phish‑mas 2025: How AI Is Supercharging Holiday Scams
// 2025-12-07

Phish‑mas 2025: How AI Is Supercharging Holiday Scams

#social-engineering #threat-intel

AI is quietly turning Black Friday, Christmas, and year-end shopping into peak season for highly targeted scams, fake stores, and account takeover fraud. Here’s how the new wave of AI‑enabled holiday scams works — and what defenders and consumers can do about it.

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How Graph Fibrations Revolutionize Non-Human Identity Management in Modern Clouds
// 2025-11-25

How Graph Fibrations Revolutionize Non-Human Identity Management in Modern Clouds

#cloud-security

Exploring a novel mathematical approach with graph fibrations to tame the explosion of non-human identities and permissions in cloud environments.

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Shai-Hulud 2.0: NPM Supply Chain Attacks Highlight Risks Beneath AI
// 2025-11-24

Shai-Hulud 2.0: NPM Supply Chain Attacks Highlight Risks Beneath AI

#threat-intel #ai-security

A critical look at the Shai-Hulud 2.0 malware campaign and how traditional software supply-chain threats undermine the foundations of AI platforms.

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Runtime Guardrails for LLMs and Agentic Systems in 2025
// 2025-11-22

Runtime Guardrails for LLMs and Agentic Systems in 2025

#llm-security #agentic-ai

Explore how runtime guardrails protect large language models and agentic AI systems from prompt injections, jailbreaks, data leaks, and tool misuse with leading vendor solutions.

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