Auto‑Generate Security Incident Heatmaps from CSV with LLM Prompts

Description and use

<p>A recent internal audit of a Fortune 500 SOC showed that analysts spent an average of 42 minutes per day manually filtering CSV logs before they could draw a heatmap of suspicious activity. ## 1. Pull raw events into a structured CSV</p> <p>Security devices, firewalls, IDS/IPS, and endpoint agents, export logs in CSV format. A typical row contains a timestamp, source IP, destination IP, protocol, and a numeric risk score.<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code><span class="c"># Example: extract the last 24 h from a Palo Alto CSV export</span> <

Problem

<p>A recent internal audit of a Fortune 500 SOC showed that analysts spent an average of 42 minutes per day manually filtering CSV logs before they could draw a heatmap of suspicious activity. ## 1. Pull raw events into a structured CSV</p> <p>Security devices, firewalls, IDS/IPS, and endpoint agents, export logs in CSV format. A typical row contains a timestamp, source IP, destination IP, protocol, and a numeric risk score.<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code><span class="c"># Example: extract the last 24 h from a Palo Alto CSV export</span> <

Outcome

<p>A recent internal audit of a Fortune 500 SOC showed that analysts spent an average of 42 minutes per day manually filtering CSV logs before they could draw a heatmap of suspicious activity. ## 1. Pull raw events into a structured CSV</p> <p>Security devices, firewalls, IDS/IPS, and endpoint agents, export logs in CSV format. A typical row contains a timestamp, source IP, destination IP, protocol, and a numeric risk score.<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code><span class="c"># Example: extract the last 24 h from a Palo Alto CSV export</span> <

Evidence

Auto‑Generate Security Incident Heatmaps from CSV with LLM Prompts

Source