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Intellectual Property Protection
Technology organizations create and transmit new intellectual property and mission critical data every day via multiple channels. It can be extremely difficult to control new information and track who has access to it and where it goes.
Most intellectual property is unstructured data, which makes it much harder to correctly identify this type of data and information using traditional data classification and management tools.
Traditional data classification mechanisms involve very weak methods for obsolete classification techniques. These solutions also require tremendous manual interventions on an ongoing basis which results in human error, inconsistencies, and opens up the floodgates of malicious intent based data leaks.
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 Intellectual Property Data
Automatically identifies and classifies all information
in motion. Assigns unique security significance to each piece of information analyzed based on unique protocols. Applies real-time policies based upon information security significance and security clearance level. Intellectual property can exist as structured or unstructured data.
02
Highly Granular Policies for Intellectual Property Protection
Accurate and flowing classification of information is the key to successful DLEP. Highly precise classification is required to identify and protect these data types in motion. Intellectual property must be identified and controls applied to protect mission critical information from misuse.
03
CASB – Cloud and Web Application Security
As more of your sensitive content moves to the cloud and many of your key applications move to the web, you need
to ensure that your sensitive content is protected whenever it is moving. Highly granular policies and automated information classification and identification support real-time policy enforcement.
04
Real-time Monitoring
and Workflow Control
Control sensitive data sharing in web-based email. Gain visibility into what content moves from the enterprise
to the cloud or web. Get real-time insight into what types
of data are moving and by whom.
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.
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
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.
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