AIShieldNet - Real-Time LLM Intelligence - New Security Standard
LLM-Powered Endpoint Defense - Why AIShieldNet Outperforms Traditional EDRs?
Why LLM-Powered Detection Changes Everything
- Detects zero-day, fileless, and insider attacks - no signature needed
- Analyzes every single process on Windows in real-time
- Understands attack context and intent, like a human analyst
- Stops threats in under 1 second, before damage begins
- Reduces false positives by up to 80%
- Learns from your environment over time - gets smarter automatically
Traditional EDRs rely on signature matching and rigid rules. They miss unknown threats, fileless malware, and even common zero-days. Worse - they flood your SOC with false positives. AIShieldNet’s LLM-powered EDR uses language models like BERT and Phi-2 to understand behavior - not just match it. It sees context, intention, and anomalies invisible to rule-based tools.
Looking for endpoint protection that thinks like an analyst?
Explore AIShieldNet - Built on Real-Time LLM Endpoint Protection
Real Use Cases
⚔️ Stops zero-day ransomware - before first file gets encrypted
🕵️ Detects insider threats using legit tools like PowerShell
🌐 Blocks lateral movement and APTs across your network
💻 Catches human attackers in “hands-on-keyboard” scenarios
📊 Accuracy and Coverage Comparison
🔥 Instant Value with AIShieldNet + LLM
100% Windows process monitoring
Detects fileless, zero-day, and novel attacks
Cloud-native, real-time LLM detection
Minimal false positives - accurate from Day 1
🎯 Built for modern threats. Tested in real enterprise environments.
Zero-Day Threat Detection:
Detects novel and unknown threats by analyzing behaviors and context, not just known signatures
Contextual Awareness:
Understands the intent and relationships behind activities, providing deep, narrative-driven analysis
Detection of Unseen Threats:
Uses advanced learning to recognize and respond to previously unseen attack techniques
Natural Language Explanations:
Generates human-readable, actionable explanations for every alert, reducing analyst workload
Continuous Learning and Adaptation:
Continuously learns from new data in the cloud, instantly adapting to new threats without manual updates
Noise Reduction / Fewer False Positives:
Minimizes alert fatigue by understanding context and intent, surfacing only real threats
AIShieldNet uses powerful Large Language Models (LLMs) to analyze every process on your endpoints in real time - detecting what traditional tools miss.
