Enterprise-Grade AI Security

AI Security Solutions Built from Research

Transforming cutting-edge research into practical defense systems for enterprise AI

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Research-Driven Security

At KalkiNetra, every line of research evolves into something actionable. Our solutions are not off-the-shelf products — they are research-driven prototypes, designed to help organizations anticipate, test, and mitigate AI risks before they escalate. These tools are currently under active development and pilot testing within our lab.

Real-World Testing
Continuous Updates
Expert Support

Our Security Solutions

Four specialized tools designed to protect your AI systems from emerging threats

In Development

Cross-Model Adversarial Attack Simulator

Advanced simulation platform that tests AI model vulnerabilities across different architectures and frameworks to identify transferable attack patterns.

Multi-model testing across TensorFlow, PyTorch, and JAX
Real-time vulnerability scoring and risk assessment
Automated attack pattern generation and testing
Defense strategy recommendations and implementation
Python TensorFlow PyTorch API
Beta Testing

Trojan Detection Framework

Comprehensive analysis system that detects hidden triggers, backdoors, and malicious patterns in machine learning models before deployment.

Deep model weight analysis for backdoor detection
Training data integrity verification and validation
Suspicious behavior pattern identification
Compliance reporting for security audits
Python ML Security Analysis Docker
Pilot Program

LLM Data Leakage Monitor

Real-time monitoring system that identifies and prevents sensitive data exposure in enterprise Large Language Model applications and API interactions.

Real-time API request/response monitoring
PII and confidential data pattern detection
Instant alerts for data exfiltration attempts
Audit trails and compliance documentation
LLM API Gateway Monitoring Cloud
Active Development

Prompt Injection Prevention Toolkit

Advanced filtering and validation system designed to sanitize prompts and prevent injection attacks, jailbreaks, and manipulation attempts in LLM workflows.

Multi-layer prompt sanitization and validation
Pattern-based injection technique detection
Context-aware filtering with minimal false positives
Easy integration with existing LLM pipelines
NLP Python SDK REST API Security

How It Works

From research to deployment - our proven process

Research & Discovery

Identify emerging threats through active research, vulnerability analysis, and threat intelligence gathering.

Prototype Development

Build research-driven prototypes that address real-world security challenges with practical solutions.

Lab Testing

Rigorous testing in controlled environments to validate effectiveness and identify edge cases.

Pilot Deployment

Partner with early adopters for real-world validation, feedback, and continuous improvement.

Early Access & Collaboration

Our prototypes are currently being tested and refined. We welcome early collaborators to validate and shape their next iterations. Join leading organizations in securing AI systems.

Priority access to new features
Direct collaboration with research team
Custom integration support
Discounted enterprise licensing

Securing AI isn't a destination — it's an evolving defense. KalkiNetra builds the tools to stay ahead of what's next.

— KalkiNetra Research Team