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  <title>BadAI Research &amp; Notes</title>
  <link href="https://badai.red/research/feed.xml" rel="self"/>
  <link href="https://badai.red/research"/>
  <id>https://badai.red/research</id>
  <updated>2026-10-30T00:00:00Z</updated>
  <author><name>BadAI Research</name></author>
  <entry>
    <title>How often should you pentest? A model of the exposure window</title>
    <link href="https://badai.red/research/exposure-window-model"/>
    <id>https://badai.red/research/exposure-window-model</id>
    <updated>2026-10-30T00:00:00Z</updated>
    <summary>A closed-form model, checked by Monte Carlo, of how testing interval, detection rate, fix time and attacker speed combine into the probability an exposure is exploited before it is closed.</summary>
  </entry>
  <entry>
    <title>Fix the chokepoint, not the 9.8: a Monte Carlo study of attack-path remediation</title>
    <link href="https://badai.red/research/attack-path-remediation"/>
    <id>https://badai.red/research/attack-path-remediation</id>
    <updated>2026-10-30T00:00:00Z</updated>
    <summary>On 40 synthetic attack graphs we compare severity-first, likelihood-first and path-aware remediation. With a 10-fix budget, path-aware fixing cut breach probability to 15% in diffuse networks while likelihood-first left 76%.</summary>
  </entry>
  <entry>
    <title>Measuring prompt-injection attack success rate without fooling yourself</title>
    <link href="https://badai.red/research/measuring-prompt-injection-success-rate"/>
    <id>https://badai.red/research/measuring-prompt-injection-success-rate</id>
    <updated>2026-10-30T00:00:00Z</updated>
    <summary>Confidence intervals that work at low counts, how many attempts prove a guardrail holds, why best-of-N attackers follow a power law, and how many trials it takes to compare two defenses. With code and real computations.</summary>
  </entry>
  <entry>
    <title>How many SOC analysts do you need? A queueing model of alert triage</title>
    <link href="https://badai.red/research/soc-staffing-queueing-model"/>
    <id>https://badai.red/research/soc-staffing-queueing-model</id>
    <updated>2026-10-30T00:00:00Z</updated>
    <summary>Erlang C and a discrete-event simulation of a SOC handling 1,200 alerts a day: why queues explode near full utilization, how handling-time variance doubles waits, and what AI pre-triage actually changes.</summary>
  </entry>
  <entry>
    <title>Why most alerts are false: the base-rate problem in alert triage</title>
    <link href="https://badai.red/research/base-rate-alert-triage"/>
    <id>https://badai.red/research/base-rate-alert-triage</id>
    <updated>2026-10-30T00:00:00Z</updated>
    <summary>Bayes' theorem explains SOC alert fatigue. We derive alert precision vs prevalence, the cost-optimal triage threshold for an AI analyst, and how much model separability (d′) it takes to escalate fewer alerts without missing incidents.</summary>
  </entry>
  <entry>
    <title>Research: five reproducible models published</title>
    <link href="https://badai.red/notes#2026-10-30-research-five-reproducible-models-published"/>
    <id>https://badai.red/notes#2026-10-30-research-five-reproducible-models-published</id>
    <updated>2026-10-30T00:00:00Z</updated>
    <summary>We published five research posts with the code behind them: exposure windows, attack-path remediation, ASR statistics, SOC queueing and base rates in triage.</summary>
  </entry>
  <entry>
    <title>Learn hub: compliance, glossary and templates</title>
    <link href="https://badai.red/notes#2026-10-30-learn-hub-compliance-glossary-and-templates"/>
    <id>https://badai.red/notes#2026-10-30-learn-hub-compliance-glossary-and-templates</id>
    <updated>2026-10-30T00:00:00Z</updated>
    <summary>New reference pages for PCI DSS 11.4, DORA TLPT, NIS2 reporting and SEC Item 1.05, plus a rules-of-engagement template and an incident response checklist.</summary>
  </entry>
  <entry>
    <title>Rogue/AI: MCP server inventory</title>
    <link href="https://badai.red/notes#2026-10-21-rogue-ai-mcp-server-inventory"/>
    <id>https://badai.red/notes#2026-10-21-rogue-ai-mcp-server-inventory</id>
    <updated>2026-10-21T00:00:00Z</updated>
    <summary>Rogue/AI now enumerates MCP servers connected to in-scope agents and tests tool descriptions and schemas for tool poisoning before attacking the agent itself.</summary>
  </entry>
  <entry>
    <title>Guides published</title>
    <link href="https://badai.red/notes#2026-10-12-guides-published"/>
    <id>https://badai.red/notes#2026-10-12-guides-published</id>
    <updated>2026-10-12T00:00:00Z</updated>
    <summary>Five field guides for security leaders, starting with autonomous penetration testing.</summary>
  </entry>
</feed>
