Request a demo
Get in touch for a
free demonstration
Get started by completing the form below
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Request a demo
Get started by completing the form below
Advanced Data Protection to Secure Sensitive Medical Information
Healthcare providers are strongly mandated to enforce appropriate measures for the protection of all medical information, including a patient’s personal information, medical records, and medical bills payment history.
Strict compliance mandates such as PII (Personally Identifiable Information), PHI (Protected Health Information), EHR (Electronic Health Records), HIPAA (Health Insurance Portability and Accountability Act), and HITECH (Health Information Technology for Economic and Clinical Health) regulations must be adhered to by all healthcare providers.
Industry security solutions tailored to your needs
Eliminates blind spots
100% autonomous coverage across every
actor, every channel, every threat vector.
Award winning
DLEP solution
GC Cybersecurity’s ISE™ (Information Security Enforcer) is the “Best of Breed” Data Leak and Exfiltration Prevention solution.
Prevents accidental
or malicious activities
IT industry is faced with severe challenges
to its Data Leak Prevention (DLP) and Data
Privacy Compliance efforts
01
Automated Identification and Classification of Healthcare Data
GC Cybersecurity’s next-gen security automatically identifies and classifies all information being stored or transferred. It assigns unique security protocols to each piece of information or data based on specific needs and applies real-time policies based upon information security significance and security clearance level. Sensitive data has never before seen this level of priority in security.
02
Integrated HIPAA Compliance
HIPAA regulations are a standard challenge for healthcare organizations. GC Cybersecurity solutions integrate HIPAA compliance with security efforts that creates a strong platform for organizations to do their business in accordance with regulations and protect all essential information. Securing the confidentiality of patient information is a mandatory procedure. Together, we can achieve our goals of providing the utmost patient care and improving healthcare management.
03
CASB – Cloud and Web Application Security
As more sensitive content moves to the cloud and key applications move to the web, it is measurable to ensure that sensitive information is protected at every moment. Highly precise cloud and web security policies and automated information classification support operations from start to finish and every part of the way.
04
Simple to Deploy and Maintain
Ghangor Cloud provides everything needed to enforce appropriate security measures in every operation. Cloud and information security are at an all-time high like never before. And with our procedural approach, integration with operations and lifetime maintenance is as simple as can be.
Generative AI’s increasing access within enterprises creates significant risk of sensitive data leaks through authorized users inadvertently or intentionally sharing proprietary information with external AI systems
Automated data protection system monitors and analyzes user interactions with Deep-AI tools, using real-time recognition and domain aware policies to detect, prevent, and alert enterprises to potential data leakages before sensitive information leaves secure environments
Enterprises can confidently embrace GEN-AI technologies while maintaining regulatory compliance, protecting intellectual property, preventing reputational damage, and reducing security team burden through automated detection and prevention that works transparently without disrupting legitimate user workflows
Malicious insiders exploit their legitimate access to exfiltrate sensitive data via email channels, bypassing traditional security controls and causing significant financial, reputational, and compliance damage
Automated and advanced e-mail data protection systems employ Deep-AI, behavioral analytics, and information classification to detect suspicious patterns, unauthorized transfers, and policy violations in real-time before sensitive data leaves the enterprise
Enterprises gain continuous protection against insider threats with minimal false positives, maintain regulatory compliance, protect intellectual property, prevent data breaches, and reduce security team workload through accurate automated detection that stops data loss while allowing legitimate business email communications to continue unimpeded
Enterprises gain continuous protection against insider threats with minimal false positives, maintain regulatory compliance, protect intellectual property, prevent data breaches, and reduce security team workload through accurate automated detection that stops data loss while allowing legitimate business email communications to continue unimpeded
Enterprises gain continuous protection against insider threats with minimal false positives, maintain regulatory compliance, protect intellectual property, prevent data breaches, and reduce security team workload through accurate automated detection that stops data loss while allowing legitimate business email communications to continue unimpeded
Enterprises achieve dramatically improved resilience against evolving cyber threats, significantly reduced attack surface, minimized data breach impact, faster incident response times, continuous regulatory compliance, and preserved business continuity without overwhelming security teams or disrupting legitimate business operations
Enterprises struggle to identify and protect massive volumes of diverse sensitive data moving across networks, applications, and user devices, leaving critical information vulnerable to breaches and compliance violations. Simple manual Keyword and Lexical Matches are error prone resulting in high False Positives and are highly susceptible to Malicious Data Leak scenarios
Automated classification systems leverage DEEP-AI, and domain-aware pattern recognition to accurately identify, categorize, and tag sensitive structured and unstructured data-in-motion, in any format, in real-time without human intervention, enabling immediate policy enforcement before information reaches unauthorized destinations
Enterprises achieve comprehensive visibility into data flows, maintain continuous regulatory compliance, reduce security team burden, prevent costly data breaches, enable granular access controls, and support informed business decisions through precise risk awareness without impacting legitimate data transfers or user productivity
Enterprises face significant risks when employees accidentally or maliciously transfer large sensitive files through unauthorized channels, bypassing security controls and potentially causing data breaches, compliance violations, and intellectual property loss
Automated file transfer protection systems continuously monitor network traffic, file repositories, and communication channels to detect unusual file movements, classify sensitive data in real-time, and enforce granular policies that block unauthorized transfers while allowing legitimate business operations
Enterprises gain comprehensive protection against data loss without burdening security teams, maintain regulatory compliance, preserve intellectual property, prevent costly breaches, reduce incident response time, and maintain business productivity by stopping only truly risky transfers while allowing approved workflows to continue unimpeded
Modern enterprises struggle with fragmented security systems that generate overwhelming alerts without domain context, leading to detection gaps, delayed remediation of data security incidents, and increased risk of breaches despite significant security investments
Automated cyberSOC-powered platforms integrate Deep-AI-driven analytics, comprehensive visibility across environments, and orchestrated response capabilities to detect sensitive data violations in real-time, prioritize actual threats, and automatically implement remediation actions based on security policies
Enterprises achieve dramatically faster threat detection and response times, reduced security team burnout, continuous compliance with evolving regulations, minimized data breach impacts, improved security ROI, and comprehensive protection across hybrid environments while maintaining business operations through intelligent, context-aware automated remediation workflows
Challenge
Generative AI’s increasing access within enterprises creates significant risk of sensitive data leaks through authorized users inadvertently or intentionally sharing proprietary information with external AI systems.
Solution
Automated data protection system monitors and analyzes user interactions with Deep-AI tools, using real-time recognition and domain aware policies to detect, prevent, and alert enterprises to potential data leakages before sensitive information leaves secure environments.
Benefit
Enterprises can confidently embrace GEN-AI technologies while maintaining regulatory compliance, protecting intellectual property, preventing reputational damage, and reducing security team burden through automated detection and prevention that works transparently without disrupting legitimate user workflows.
Case study
World’s Leading Engineering Design Automation (EDA) Firm Protects Intellectual Property with Information Security Enforcer
A leading Engineering Design Automation (EDA) firm headquartered in San Jose, California and with multiple world-wide locations, experienced serious incidents of intellectual property.
See More →Tarique M. at MIT Review: Cyber-Insecurity
in AI Era
GC Cybersecurity founder and CTO Tarique Mustafa delivers his full MIT Technology Review EmTech AI session on why cybersecurity has to be rebuilt for the AI era — where today’s defenses break down, and what an autonomous, AI-native approach to data protection looks like.
See More →Tarique M. at MIT Review: Introduction
A short introduction to Tarique Mustafa’s MIT Technology Review EmTech AI session, framing the central question: why the AI era demands a fundamentally new approach to cybersecurity.
See More →Tarique M. at MIT Review: Where do you think Organizations are misreading the Cybersecurity problem?
Tarique Mustafa on where most organizations are misreading the cybersecurity problem in the AI era — and why treating GenAI risk as a feature gap rather than an architectural one leaves sensitive data exposed.
See More →