Cybersecurity Incidents

import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.colors import LinearSegmentedColormap

fig = plt.figure(figsize=(12, 8), facecolor='#0a0a0f')
ax = fig.add_subplot(111, projection='3d')
ax.set_facecolor('#0a0a0f')

vectors = 5
severity = 4
xpos = np.arange(vectors)
zpos = np.arange(severity)
xpos, zpos = np.meshgrid(xpos, zpos)
xpos = xpos.flatten()
zpos = zpos.flatten()
ypos = np.zeros_like(xpos)

dx = 0.6
dz = 0.6
np.random.seed(789)
dy = np.random.poisson(50, size=20) * (zpos + 1) * 0.5

cmap = LinearSegmentedColormap.from_list('neon', ['#27F5B0', '#27D3F5', '#F5276C', '#9C2007'])
norm = plt.Normalize(min(dy), max(dy))
colors = [cmap(norm(v)) for v in dy]

ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color=colors, alpha=0.9, edgecolor='#1a1a2e', linewidth=0.4)

ax.set_xlabel('Attack Vector', fontsize=11, color='white', labelpad=12)
ax.set_ylabel('Incidents', fontsize=11, color='white', labelpad=12)
ax.set_zlabel('Severity', fontsize=11, color='white', labelpad=10)
ax.set_title('Cybersecurity Incident Matrix', fontsize=14, color='white', fontweight='bold', pad=20)

ax.set_xticks(range(5))
ax.set_xticklabels(['Phishing', 'Malware', 'DDoS', 'SQLi', 'XSS'], fontsize=8, color='#888888')
ax.set_zticks(range(4))
ax.set_zticklabels(['Low', 'Medium', 'High', 'Critical'], fontsize=8, color='#888888')
ax.tick_params(colors='#888888', labelsize=9)

ax.xaxis.pane.fill = False
ax.yaxis.pane.fill = False
ax.zaxis.pane.fill = False
ax.xaxis.pane.set_edgecolor('#333333')
ax.yaxis.pane.set_edgecolor('#333333')
ax.zaxis.pane.set_edgecolor('#333333')
ax.grid(True, alpha=0.2, linewidth=0.5)

ax.view_init(elev=25, azim=50)
plt.tight_layout()
plt.show()