HackWednesday
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Patch Tuesday / Hack Wednesday

A short security poem for teams patching before the owl notices.

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Template

Free AI Security Templates

Copy-ready AI acceptable use policy, incident response playbook, MCP review checklist, CISO board memo, coding assistant rollout, and vendor questionnaire.

Brief

Wednesday AI Security Brief

A recurring brief for AI security leaders tracking model risk, agent security, MCP, supply chain attacks, and practical controls.

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AI Security by Industry

Industry-specific AI security guidance for healthcare, finance, SaaS, universities, startups, and government teams.

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AI Security Tools

Free tools for AI security readiness, CISO planning, agent governance, and cybersecurity teams adopting LLMs.

Infographic

OpenAI Artifactory Hugging Face Incident Map

A concise visual map of the OpenAI model evaluation incident involving Artifactory, internet access, and Hugging Face infrastructure.

Hub

AI Security for CISOs

A curated hub for CISOs and security leaders preparing for AI agents, LLM risk, and secure adoption.

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MCP Security

A practical hub for Model Context Protocol security, token handling, SSRF prevention, and secure AI integrations.

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MASA University Network

A representative network of U.S. university security programs collaborating on AI security and quantum readiness.

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AI security, every Wednesday

HackWednesday delivers practical AI security analysis for teams defending real systems.

HackWednesday focuses on AI in security: model evaluation, SOC copilots, AppSec workflows, incident response acceleration, and the operational tradeoffs security teams face when deploying LLMs.

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Free AI Security Tool

AI Security Readiness Score

Answer six control questions to estimate whether your organization is ready for AI agents, model gateways, coding assistants, and machine-speed cyber activity.

50
Managed

You have useful controls, but gaps remain where agent autonomy, tool access, or logging can outpace governance.

InventoryDo you know which AI assistants, agents, model gateways, and coding tools are active in your environment?
IdentityDo AI agents and automation have distinct identities instead of shared human or admin credentials?
Data BoundariesCan you prevent sensitive data, source code, prompts, and tool outputs from leaving approved boundaries?
Tool PermissionsAre agent tools, MCP servers, browser actions, shell access, and code execution gated by risk?
MonitoringCan security reconstruct what an AI agent read, called, changed, generated, or attempted?
Incident ResponseDo incident playbooks cover AI-agent misuse, prompt injection, model gateway compromise, and runaway automation?

Recommended next actions

  1. Create an AI asset inventory that includes owner, business use, model/provider, data access, tools, and environment.
  2. Assign every agent, bot, scanner, and workflow its own identity with scoped permissions and expiration.
  3. Add model-gateway policy, data classification, prompt redaction, and egress rules for sensitive workflows.
  4. Separate read-only analysis from write actions, production changes, credential operations, and external calls.
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Latest analysis

AI in Security2026-08-08

HackWednesday AI Security DeskAI DeskNeeds review

New AI Models Can Silently Hack Companies: What Defenders Should Change Now

Frontier AI models are moving from code suggestions to sustained cyber operations. Security teams should assume quiet, multi-step AI-driven intrusion attempts are becoming realistic and update controls before attackers operationalize them.

Guides

Practical field guides for AI security teams.

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