Maxwell Seefeld

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AI Security

Adversarial Machine Learning: Defending Neural Networks Against Invisible Threats in 2026

max seefeld

Feb 24, 2026 •

Adversarial AI Attacks and Model Poisoning: The Hidden Threat to Enterprise Machine Learning

As artificial intelligence and machine learning systems become the backbone of modern enterprise infrastructure, a dangerous new threat vector has emerged: adversarial AI attacks. Unlike traditional cybersecurity threats that target software vulnerabilities, these attacks specifically target the decision-making processes of AI models themselves. In 2025, with over 77% of enterprises

max seefeld Feb 28, 2026 • 3 min read

AI Red Teaming: The Essential Guide to Securing Your Large Language Models

As organizations race to deploy Large Language Models (LLMs) and AI systems, a critical security discipline has emerged: AI red teaming. This proactive security assessment methodology has become the gold standard for identifying vulnerabilities in machine learning systems before malicious actors can exploit them. What is AI Red Teaming?AI

max seefeld Feb 20, 2026 • 2 min read

Latest in Tech (2026-02-19): DNS-PERSIST-01, C++26 constexpr lifetime checks, and A2H agent-to-human messaging

Published Feb 19, 2026. A highly technical roundup of notable developments across Internet PKI operations, programming language standards, and agent infrastructure. 1) Let’s Encrypt: DNS-PERSIST-01 — moving DNS validation from ‘per-issuance’ to ‘standing authorization’Let’s Encrypt published details of DNS-PERSIST-01, a new ACME challenge model (currently described in an

max seefeld Feb 19, 2026 • 3 min read

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