Tuskira has secured two prestigious awards at the 2025 Security Awards:
🏆 Best Use of AI in a Cloud Security Solution
🏆 Best Security Solution in Risk Identification / Risk Management
Their AI-driven approach goes beyond threat detection, simulating, validating, and mitigating risks in real time. Unlike traditional security systems that flood teams with alerts, Tuskira’s AI analysts take proactive action, enhancing defense mechanisms.
đź”— Source: 2025 Cloud Security Awards Winners
You Should Know: AI-Powered Cloud Security in Practice
1. Automating Threat Detection with AI
AI models like those used by Tuskira rely on anomaly detection and predictive analytics. Below are some practical commands to implement AI-driven security in cloud environments:
Linux-Based AI Security Monitoring
Install Suricata for real-time intrusion detection sudo apt-get update && sudo apt-get install suricata -y Start Suricata in monitor mode sudo suricata -c /etc/suricata/suricata.yaml -i eth0 Analyze logs for AI-driven threat detection sudo tail -f /var/log/suricata/fast.log
Cloud Security Automation with AWS & AI
Enable AWS GuardDuty for AI threat detection aws guardduty create-detector --enable Analyze findings using AWS CLI aws guardduty list-findings --detector-id <DETECTOR_ID> Automate responses with AWS Lambda aws lambda create-function --function-name "AI-Threat-Response" --runtime python3.9 --handler lambda_function.lambda_handler --role <ROLE_ARN>
2. AI-Driven Risk Mitigation Techniques
Tuskira’s AI validates threats before taking action. Here’s how you can simulate this:
Using Python for AI-Based Threat Simulation
import pandas as pd
from sklearn.ensemble import IsolationForest
Load security log data
logs = pd.read_csv("security_logs.csv")
Train AI model for anomaly detection
model = IsolationForest(contamination=0.01)
model.fit(logs[["request_count", "error_rate"]])
Predict anomalies
logs["anomaly"] = model.predict(logs[["request_count", "error_rate"]])
print(logs[logs["anomaly"] == -1])
Windows Security with AI Integration
Enable Windows Defender Advanced Threat Protection (ATP) Set-MpPreference -EnableNetworkProtection Enabled Check for AI-detected threats Get-MpThreatDetection
What Undercode Say
AI is revolutionizing cybersecurity by reducing false positives and accelerating response times. Tuskira’s approach highlights the shift from passive monitoring to active defense.
Key Linux & Windows Commands for AI Security
Linux: Monitor suspicious processes
ps aux | grep -E "(curl|wget|sh)"
Windows: Check for malicious PowerShell scripts
Get-WinEvent -LogName "Microsoft-Windows-PowerShell/Operational" | Where-Object {$_.ID -eq 4104}
đź”— Further Reading:
Prediction
By 2026, AI-driven security will dominate 90% of cloud defenses, reducing human intervention in 80% of threat responses.
Expected Output:
A detailed guide on AI-powered cloud security, including real-world commands and predictions for future cybersecurity trends.
References:
Reported By: Tuskira Two – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass âś…
