Research & Threat Intelligence Lab
Understanding AI Risks, Securing Tomorrow
"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."
Our framework draws strength from seven guiding principles that define Kalkinetra's vision of AI-driven defense and ethical intelligence. Learn More
Identify vulnerabilities in AI systems, datasets, and model pipelines before they can be exploited.
Build resilience into models, APIs, and environments through continuous red-teaming and adaptive hardening.
Maintain transparency in every AI-driven security action — ensuring that decisions remain explainable and auditable.
Protect model lifecycles, APIs, and endpoints with continuous validation, encryption, and integrity monitoring.
Blend human intuition with machine precision to create ethical, context-aware defenses that evolve intelligently.
Turn threat intelligence into self-learning feedback loops — making your systems smarter and more autonomous with time.
Illuminate hidden attack surfaces and uncover adversarial intent using advanced model introspection and predictive analytics.
Driving Innovation in AI Security Research
Investigating Critical Vulnerabilities in AI Systems
Enterprise-Grade Security Solutions for AI Systems
Comprehensive testing suite for identifying vulnerabilities in AI models, including automated scanning, risk scoring, and detailed reporting capabilities.
Advanced filtering and detection system designed to prevent prompt injection attacks, protecting LLMs from malicious user inputs and jailbreak attempts.
Robust platform for evaluating model resilience against adversarial attacks, with customizable attack scenarios and performance benchmarking.
Engineered for Your Growth
Comprehensive security audits and threat modeling for your entire AI pipeline—from data to deployment—ensuring maximum model resilience against known attack vectors.
A dedicated team of security researchers stress-testing your models with advanced adversarial attacks (e.g., prompt injection, data poisoning) to discover hidden vulnerabilities.
Receive curated, real-time threat intelligence feeds focused specifically on emerging AI/ML vulnerabilities and exploits relevant to your industry and technology stack.
Insights That Drive Decisions
Expert perspectives on the necessary skill shift for security professionals entering the AI defense domain.
Read ArticlePartner 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