Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How Claude Helped Build a Proxmox Environment (and What I Learned Along the Way)

As a solutions architect, building out customer demo environments is part of the job. I regularly spin up lab scenarios to support evaluations and proof-of-concept work — and if you've done this before, you know it can eat up days of your life. So when I recently decided to refresh my homelab and migrate to Proxmox, I saw it as the perfect opportunity to put AI-assisted infrastructure automation to the test. The goal?

Fingerprinting AI Attacks: Detection Every SOC Needs

Revisiting a conversation between LimaCharlie co-founder Christopher Luft and Chris Cochran, Field CISO & Vice President of AI Security at SANS Institute, on The Cybersecurity Defenders Podcast. For most of cybersecurity’s history, defenders could operate under a safe assumption: somewhere on the other end of an attack, a human was making decisions. Scripts might automate parts of the kill chain, tools might accelerate execution, but a person was in the loop.

When tokenmaxxing leads to riskmaxxing

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

AI Agent Security Framework on GKE: Implementation Guide

Your platform team spent a week configuring the Agent Sandbox CRD on a gVisor-enabled node pool — the architecture Google positions as the recommended pattern for AI agent workloads on GKE. Workload Identity Federation with KSA principals is bound to every agent pod. Container Threat Detection is licensed and active in Security Command Center Premium. And the runtime behavioral sensor you budgeted for won’t install.

Detecting Threats in Multi-Agent Orchestration Systems: LangChain, CrewAI, and AutoGPT

It’s Tuesday morning at a mid-size fintech. A customer-support workflow runs on CrewAI in production: a Triage agent reads tickets, a Records agent pulls customer history, a Remediation agent drafts and sends the reply. A user submits a ticket with a pasted error log containing an indirect prompt injection. Triage summarizes and delegates. Records, interpreting instructions embedded in the summary, pulls 2,400 customer records instead of one.

Episode 13 - Battle-Hardened Research: Navigating the Intersection of AI and Open Source

Richard Bejtlich sits down with Ali Islam to pull back the curtain on how a security research lab functions within a modern security company. Moving beyond the "ivory tower" of academia, Ali explains why researchers must be battle-hardened by real-world threat actor techniques to remain effective in the field. The conversation dives into Corelight’s unique commitment to the open source community through the direct funding of Zeek and Suricata developers, ensuring that community-driven tools can scale to meet massive enterprise traffic demands.