Enterprise Security Platform

Autonomous Security
with Adaptive Memory

AstraGuard learns from every incident, building an intelligent memory system that automatically responds to threats by recalling proven solutions.

99.8%
Threat Detection Rate
<2s
Average Response Time
10,247
Threats Blocked
Live Monitoring
$ AstraGuard Security Monitor v2.0
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Threats detected: 0

Real-time Detection

Detect unusual patterns and anomalies as they emerge from live data streams with sub-second latency and machine learning precision.

Adaptive Memory

Self-updating knowledge graph that strengthens with each incident and recalls proven solutions instantly from historical data.

Auto-Response

Apply learned solutions instantly without manual intervention through intelligent automation loops and orchestration.

Adaptive Memory Engine

AstraGuard's memory system learns from every security incident, creating a continuously evolving knowledge base that powers intelligent threat response.

Memory Network Visualization

10,247
Incidents Stored
Pattern Links
8,903
Resolved Cases
94.3%
Recall Accuracy

System Architecture

A sophisticated multi-layer architecture designed for real-time threat detection, intelligent memory management, and autonomous response automation.

Monitoring Layer

  • Data stream ingestion
  • Real-time log parsing
  • Anomaly detection
  • Event classification

Memory Engine

  • Knowledge graph storage
  • Pattern recognition
  • Solution retrieval
  • Learning algorithms

Response Engine

  • Automated mitigation
  • Action orchestration
  • Resource management
  • Rollback capability

Feedback Loop

  • Outcome tracking
  • Performance metrics
  • Model retraining
  • System optimization

Technology Stack

Backend & Processing

  • Python / FastAPI
  • Apache Kafka
  • Redis Cache
  • PostgreSQL + VectorDB
  • gRPC Services

AI & Machine Learning

  • TensorFlow / PyTorch
  • scikit-learn
  • Neo4j Graph Database
  • Custom NLP Models
  • Transformer Networks

Infrastructure

  • Kubernetes
  • Docker Containers
  • AWS / GCP
  • Prometheus Monitoring
  • Grafana Dashboards

Real-World Use Cases

AstraGuard adapts to various security scenarios across industries, providing intelligent protection where it matters most.

Cloud Security

Monitor AWS, Azure, and GCP infrastructure for misconfigurations, unauthorized access, and suspicious API calls. Automatically remediate security violations.

  • IAM policy enforcement
  • S3 bucket protection
  • Network security groups
  • Compliance automation

Fraud Detection

Identify fraudulent transactions in real-time using behavioral analysis and historical pattern matching. Block suspicious activities instantly.

  • Transaction anomaly detection
  • Account takeover prevention
  • Payment card testing blocks
  • Behavioral biometrics

Network Intrusion

Detect and block network-based attacks including DDoS, port scanning, and malware propagation. Learn from attack patterns continuously.

  • DDoS mitigation
  • Malware traffic blocking
  • Zero-day threat response
  • Advanced persistent threats

Data Protection

Protect sensitive enterprise data from exfiltration, ransomware, and insider threats. Automated response with instant containment.

  • Data loss prevention (DLP)
  • Ransomware detection
  • Insider threat monitoring
  • Encryption enforcement

Case Study: FinTech Success

A major payment processor reduced fraud losses by 87% and cut security response time from 45 minutes to under 2 seconds using AstraGuard's adaptive memory system.

87%
Fraud Reduction
<2s
Response Time
$12M
Annual Savings

Meet the Team

A dedicated group of engineers and security experts building the future of autonomous cybersecurity.

Subhajit Roy

Team Leader

Ayush Sharma

Core Developer

Aditya Mishra

Security Engineer
View Project on GitHub

Our Mission

To revolutionize cybersecurity by building intelligent systems that learn from every incident, continuously adapt to new threats, and autonomously protect organizations without requiring constant human intervention.

Frequently Asked Questions

AstraGuard doesn't just detect threats—it learns from them. Every incident becomes experience, and every experience becomes a ready-to-use response. Unlike traditional tools that require constant manual updates and rule configuration, AstraGuard continuously monitors systems in real-time, detects anomalies, remembers past incidents, automatically applies the best response, and improves itself with every attack.
Our adaptive memory system uses a sophisticated knowledge graph that connects incidents, patterns, and solutions. When a new threat appears, the system analyzes its characteristics and searches for similar historical incidents. It retrieves proven solutions, ranks them by success rate and contextual relevance, then automatically applies the most effective response.
AstraGuard achieves sub-2-second response times through a combination of stream processing, pre-computed decision trees, and instant memory retrieval. Our system processes security events in real-time using Apache Kafka for streaming, maintains hot caches of common attack patterns in Redis, and uses optimized graph queries to retrieve solutions instantly.
Yes! AstraGuard is designed to complement your existing security stack. We provide integrations with popular SIEM platforms, cloud providers (AWS, Azure, GCP), monitoring tools (Datadog, Splunk), and ticketing systems (Jira, PagerDuty). AstraGuard can ingest data from multiple sources and orchestrate responses across your entire security infrastructure.

Get in Touch

Have questions, feedback, or want to discuss how AstraGuard can protect your organization? We'd love to hear from you.

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Email

support@astraguard.ai
We typically respond within 24 hours

Office

123 Security Boulevard
San Francisco, CA 94102
United States

Business Hours

Monday - Friday: 9:00 AM - 6:00 PM PST
Weekend: Emergency support only
24/7 critical incident support

GitHub

github.com/sr-857/AstraGuard
Report issues, contribute, or star the project