Exploring Vulnerabilities
Crafting Solutions

Research & Threat Intelligence Lab

Understanding AI Risks, Securing Tomorrow

Trusted By Industry Leaders

Python
TensorFlow
PyTorch
Docker
Kubernetes
AWS
Google Cloud
Azure
Python
TensorFlow
PyTorch
Docker
Kubernetes
AWS
Google Cloud
Azure
Krish Kapoor - Founder
"We stand at the intersection of intelligence and uncertainty. As technology evolves, so do its shadows. At KalkiNetra, our mission is to study these emerging complexities — not with fear, but with curiosity — transforming vulnerabilities into knowledge, and knowledge into defense."
Krish Kapoor
Founder, KalkiNetra Research & Threat Intelligence Lab

DRISHTI Framework

Our framework draws strength from seven guiding principles that define Kalkinetra's vision of AI-driven defense and ethical intelligence. Learn More

D Detect R Reinforce I Interpret S Secure H Harmonize T Transform I Illuminate
Pillar 1

Detect

Threat Visibility

Identify vulnerabilities in AI systems, datasets, and model pipelines before they can be exploited.

Real-time monitoring and threat detection
Advanced anomaly detection systems
Comprehensive threat intelligence
Pillar 2

Reinforce

Defensive Strength

Build resilience into models, APIs, and environments through continuous red-teaming and adaptive hardening.

Multi-layered protection mechanisms
Adaptive defensive responses
Continuous security hardening
Pillar 3

Interpret

Explainability

Maintain transparency in every AI-driven security action — ensuring that decisions remain explainable and auditable.

Clear insights and transparency
AI decision explainability
Actionable intelligence delivery
Pillar 4

Secure

Operational Integrity

Protect model lifecycles, APIs, and endpoints with continuous validation, encryption, and integrity monitoring.

Comprehensive data protection
Business continuity assurance
Regulatory compliance support
Pillar 5

Harmonize

Human-AI Collaboration

Blend human intuition with machine precision to create ethical, context-aware defenses that evolve intelligently.

Seamless human-AI synergy
Security team empowerment
Collaborative defense strategies
Pillar 6

Transform

Evolving Defense

Turn threat intelligence into self-learning feedback loops — making your systems smarter and more autonomous with time.

Adaptive evolution capabilities
Future-ready defense systems
Continuous innovation cycle
Pillar 7

Illuminate

Insight & Foresight

Illuminate hidden attack surfaces and uncover adversarial intent using advanced model introspection and predictive analytics.

Predictive analytics and forecasting
Proactive defense mechanisms
Future threat visibility
Scroll to explore each pillar

Lab Impact

Driving Innovation in AI Security Research

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Experiments Conducted
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AI Models Tested
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B2B Prototypes in Progress
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Collaborations

Research Focus Areas

Investigating Critical Vulnerabilities in AI Systems

01

LLM Injection Attacks

Exploring prompt injection vulnerabilities in Large Language Models, identifying attack vectors, and developing robust defense mechanisms to protect AI systems from malicious inputs.

02

Adversarial AI & Model Manipulation

Investigating techniques used to deceive AI models through adversarial examples, studying model robustness, and creating frameworks for adversarial defense strategies.

03

Data Poisoning & Model Exploits

Analyzing training data manipulation attacks, backdoor insertion techniques, and developing detection systems to identify compromised datasets and model integrity issues.

04

AI Risk Assessments

Conducting comprehensive security audits of AI systems, evaluating risk factors, and establishing best practices for secure AI deployment in enterprise environments.

Learn More +2

Advanced Defense Technologies

Enterprise-Grade Security Solutions for AI Systems

AI Security Assessment Toolkit

Comprehensive testing suite for identifying vulnerabilities in AI models, including automated scanning, risk scoring, and detailed reporting capabilities.

  • Automated vulnerability scanning
  • Real-time threat detection
  • Compliance reporting

Prompt Injection Mitigation System

Advanced filtering and detection system designed to prevent prompt injection attacks, protecting LLMs from malicious user inputs and jailbreak attempts.

  • Real-time prompt analysis
  • Pattern-based detection
  • API integration ready

Adversarial Testing Framework

Robust platform for evaluating model resilience against adversarial attacks, with customizable attack scenarios and performance benchmarking.

  • Custom attack generation
  • Model robustness scoring
  • Defense strategy recommendations
Learn More +1

Our Service Capabilities

Engineered for Your Growth

AI System Hardening & Audits

Comprehensive security audits and threat modeling for your entire AI pipeline—from data to deployment—ensuring maximum model resilience against known attack vectors.

Adversarial Red Teaming

A dedicated team of security researchers stress-testing your models with advanced adversarial attacks (e.g., prompt injection, data poisoning) to discover hidden vulnerabilities.

Custom Threat Intelligence Feeds

Receive curated, real-time threat intelligence feeds focused specifically on emerging AI/ML vulnerabilities and exploits relevant to your industry and technology stack.

Insights

Insights That Drive Decisions

01

Prompt Injection: When Words Become Weapons

A deep dive into how prompt-based exploits are redefining AI security and what defenses might look like.

Read Brief
02

Evolving Role of the AI Security Analyst

Expert perspectives on the necessary skill shift for security professionals entering the AI defense domain.

Read Article
03

View All Threat Intelligence

Browse our full collection of research papers, analytical commentary, and threat intelligence reports on the Insights page.

Visit Insights Page

We thrive on collaboration.
Let's secure the future together.

Partner with us on cutting-edge research, contribute to open-source security tools, or collaborate on custom AI security solutions for your organization.

Start a Collaboration Schedule a Consultation