HimalCyberX

HCX Research

AI + Cybersecurity

Educational research and guidance on artificial intelligence, cyber threats and defensive security.

LLM Security

Prompt Injection Risks in Enterprise LLM Deployments

Understanding how untrusted inputs can influence model behavior in business applications.

Data Leakage and Privacy Controls for Internal AI Tools

Guidance on access boundaries, logging and sensitive data handling in LLM workflows.

AI-Powered Social Engineering

How Adversaries May Use Generative AI in Social Engineering

Educational overview of AI-assisted phishing content and impersonation techniques discussed in security research.

Automated Reconnaissance and AI-Assisted Planning

Foundational concepts on how machine learning tools may accelerate information gathering in unauthorized scenarios.

Defensive AI

Building an AI-Augmented SOC Workflow

Practical architecture patterns for alert enrichment, summarization and analyst-assisted triage.

Using Machine Learning for Anomaly Detection

Foundational concepts for applying behavioral models to network and endpoint telemetry.

Deepfake Risk

Deepfake Awareness for Security Awareness Programs

Educational overview of synthetic media risks and verification practices for organizations.

Prompt Injection

Defending Applications Against Prompt Injection

Input validation, output filtering and architectural controls for LLM-integrated applications in enterprise environments.

AI Governance

AI Governance Frameworks for Security Teams

Policy, risk assessment and oversight models for responsible AI adoption in security operations.

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