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This document details a web conference focused on data loss prevention strategies, addressing data security risks, compliance, and DLP technology implementations.
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How to fill out Data Loss Prevention: Gone in Under 60 Milliseconds

01
Access the Data Loss Prevention (DLP) dashboard.
02
Navigate to the 'Policy Management' section.
03
Click on 'Create New Policy' to start a new DLP policy.
04
Select 'Gone in Under 60 Milliseconds' as the policy type.
05
Define the data types you want to protect (e.g., financial, personal information).
06
Set the conditions under which the policy will be triggered.
07
Specify the actions to be taken when a data loss event is detected.
08
Review the policy settings to ensure they meet your organization's needs.
09
Click 'Save' to implement the policy.
10
Monitor the policy's effectiveness through the DLP dashboard.

Who needs Data Loss Prevention: Gone in Under 60 Milliseconds?

01
Organizations that handle sensitive data.
02
Companies that are subject to regulatory compliance requirements.
03
IT and security teams responsible for data protection.
04
Businesses looking to mitigate risks associated with data breaches.
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The 3 types of access control are Role-Based Access Control (RBAC) systems, Attribute-Based Access Control (ABAC) and Discretionary Access Control (DAC). Each of the three access control types can be leveraged to ensure that your property and data is secure.
DLP key use cases: Critical for financial services, healthcare, compliance, and enhancing overall cybersecurity.
The different types of DLP solutions include: On-premises DLP. Cloud-native DLP. Endpoint DLP. Network DLP. Cloud DLP. Email DLP.
Examples of DLP include: Software. Control who accesses and shares data in your organization. Encryption. Plaintext is transformed into unreadable cipher-text (more simply, data is converted into code) to prevent unauthorized access. Alerts. Reporting.
The three types of DLP sensors are Network Sensors, Endpoint Sensors, and Cloud Sensors. Network Sensors monitor and protect data as it moves across networks, Endpoint Sensors secure data on individual devices, and Cloud Sensors safeguard data within cloud applications and repositories.
You can use standard security tools to defend against data loss and leakage. For example, an Intrusion Detection System (IDS) can alert about attacker attempts to access to sensitive data. Antivirus software can prevent attackers from compromising sensitive systems.
Common Causes of Data Loss Human error. Human error is the root cause of most data loss in business as humans are, by nature, not perfect. Theft. Software corruption. Computer viruses. Hardware impairment. Natural disasters. Power failure.
DLP solutions are typically divided into three main types: Network DLP. Endpoint DLP. Cloud DLP.
DLP solutions are typically divided into three main types: Network DLP. Endpoint DLP. Cloud DLP.

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Data Loss Prevention: Gone in Under 60 Milliseconds refers to a strategy or technology designed to prevent data breaches and unintended data loss. It employs various methods to monitor, detect, and respond to potential data loss incidents in real-time.
Organizations that handle sensitive or confidential data, particularly those in regulated industries such as finance, healthcare, and education, are typically required to implement and file reports related to Data Loss Prevention measures.
To fill out Data Loss Prevention reports, organizations should gather relevant data regarding their data protection policies, incidents of data loss, and measures taken to mitigate such risks. The forms usually require detailed descriptions of the incidents, the data involved, and the response protocols enacted.
The purpose of Data Loss Prevention: Gone in Under 60 Milliseconds is to protect sensitive information from being lost, accessed, or disclosed improperly. It aims to ensure compliance with regulations and safeguard organizational and customer data.
Reports on Data Loss Prevention must include information about the types of data that were at risk, the circumstances surrounding any incidents, the actions taken in response to those incidents, and the effectiveness of the data protection measures implemented.
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