Data threats are actions that can affect the integrity, confidentiality, or availability of your organization’s data, while a data leak exposes your sensitive data to untrustworthy environments.

Loss prevention meaningand examples

Incident response. How your organization responds to, remediates, and manages the aftermath of a cyberattack, data breach, or another disruptive event.

Although the FBI supported both systems for many years, the bureau discontinued accepting data through Uniform Crime Reports as of Jan. 1, 2021 and began encouraging law enforcement agencies to switch to NIBRS.

Although police departments can update cases when arrests or summonses occur after the initial data entry, staff members may fail to make these updates because they have competing responsibilities or they are unaware that arrests have been made, Cross said. Thus, the department’s arrests may be underrepresented in NIBRS.

According to the study, suspects were arrested in more than 33% of the cases, and a summons was issued in slightly more than 18% of them.

About 85% of the Massachusetts law enforcement agencies that voluntarily report crime statistics utilize NIBRS, while the remaining agencies use a different system called Uniform Crime Reports, according to the study.

What are 5 methods ofloss prevention

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A team of researchers led by Theodore P. Cross examined the accuracy of arrest data in the FBI’s National Incident-Based Report System for crimes that occurred in Massachusetts. Cross is a professor of social work and senior research specialist at the University of Illinois Urbana-Champaign.

Some of the other false negatives the team found resulted from a design flaw in NIBRS. While the user manual instructs staff to enter both summonses and arrests in the “arrests” data field, some users were unaware of that. Thus, more than half of the summonses issued for crimes in the sample were not recorded in NIBRS.

Every organization must adhere to data protection standards, laws, and regulations like HIPAA, the Sarbanes-Oxley (SOX) Act, and the Federal Information Security Management Act (FISMA). A DLP solution gives you the reporting capabilities you need to complete compliance audits, which may also include having a data-retention plan and training program for your employees.

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The paper “The accuracy of arrest data in the National Incident-Based Reporting Systems (NIBRS)” is available online or from the News Bureau.

The team also found a small proportion of cases that were false positives – probable data entry errors, they hypothesized – that incorrectly indicated in NIBRS that suspects were arrested or summoned to court.

“We think that NIBRS really could improve the quality of crime data in the U.S., especially now that the FBI is committing wholeheartedly to it and recruiting more and more police agencies to participate,” Cross said. “Attention to the human processes behind the data is going to pay off in understanding the information we’re collecting and improving the collection process.”

CHAMPAIGN, Ill. — As more police agencies transition to the FBI’s National Incident-Based Reporting System for crime reporting, a study of one state’s data found that a design flaw in NIBRS, the timings of arrests and human factors can lead to discrepancies.

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Unintentional exposure occurs when employees unknowingly allow access to unauthorized users or viruses. Identity and access management tools help organizations control what users can and can’t access, and helps keep your organization’s important resources—like apps, files, and data—secure.

Loss preventionsecurity

Encryption. Maintain the confidentiality and integrity of your data by ensuring that only authorized users can access data while it’s at rest or in transit.

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A DLP policy defines how your organization shares and protects data without exposing it to unauthorized users. It helps you comply with government regulations, protect intellectual property, and improve visibility into your data.

“Overall, in 84% of the cases, the NIBRS data matched that of the law enforcement agencies,” said co-author Theodore P. Cross, a professor of social work and senior research specialist at the University of Illinois Urbana-Champaign. “But there were some factors that led to errors – one being delays in arrests and another being the use of a single data field to enter both arrests and summonses.”

NIBRS collects greater detail about crimes, and more widespread use by police agencies could be a boon for crime researchers, Cross said.

Security education and awareness. Teach employees, executives, and IT teammates how to recognize and report a security incident and what to do if a device is lost or stolen.

NIBRS is considered one of the most important resources for crime statistics in the U.S., and data from it have been used in a number of groundbreaking studies. However, the team cautioned that crime trends based on NIBRS data may not be representative of the U.S. as a whole since the police agencies currently utilizing it cover just 29% of the U.S. population.

To keep threats at bay, you need to monitor who has access to what and what they’re doing with that access. Prevent insider breaches and fraud by managing the digital identities of employees, vendors, contractors, and partners across your network, apps, and devices. Role-based access control is one example of providing access to only the people who need it to do their jobs.

Cross conducted the research with Alex Wagner, the director of research analytics at Emory University, and Daniel Bibel, of Criminal Justice Consultation and Research.

An NIBRS expert who managed the Massachusetts State Police Crime Reporting Unit for 27 years, Bibel helped the team obtain a random sample of cases for the study, which was funded by the National Institute of Justice and published in the journal Crime and Delinquency.

Cloud access security broker (CASB) software. Enforce your security policy between enterprise users and cloud service providers to mitigate risk and maintain regulatory compliance.

Establish roles and responsibilities. Clarify who’s accountable, who needs to be consulted, and who needs to be informed regarding activities related to your DLP solution. For example, your IT team must take part in the deployment so that they understand the changes being made and are able to resolve issues. It’s also important to separate responsibilities so that those who create policies can’t implement them, and those who implement policies can’t create them. These checks and balances help thwart the misuse of policies and sensitive data.

Loss prevention meaningin business

When the authors of the current study compared the statuses of a statewide sample of 480 cases in NIBRS with data they collected directly from the Massachusetts jurisdictions where the crimes occurred, they found that about 16% of the cases incorrectly indicated in NIBRS whether arrests were made or summonses were issued.

Discover how to identify and help prevent risky or inappropriate sharing, transfer, or use of sensitive data on-premises and across apps and devices.

Malware, or malicious software—including worms, viruses, and spyware—is often disguised as a trusted email attachment or program (for example, an encrypted document or file folder). Once opened, it allows unauthorized users into your environment who can then disrupt your entire IT network.

Nearly 41% of the sexual assault cases in the sample were false negatives, as were 32% of the intimidation cases, more than 19% of the aggravated assault cases and nearly 16% of the simple assaults, the researchers found.

False negatives were significantly associated with delayed arrests, Cross said. “If an arrest was made a day or more after the crime occurred, the accuracy of the NIBRS data was significantly lower.”

User behavior analytics. Make sense of the data you gather about your systems and the people using them. Flag suspicious behavior before it leads to a data leak or security breach.

Insider risk management software. Pinpoint which employees may be accidentally leaking data and uncover malicious insiders who are intentionally stealing sensitive information.

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Knowing what data you have and how it’s used across your digital estate makes it easier for your organization to identify unauthorized access to data and protect it from misuse. Classification means applying rules for identifying sensitive data and maintaining a compliant data security strategy.

Data loss prevention is a security solution that identifies and helps prevent unsafe or inappropriate sharing, transfer, or use of sensitive data. It can help your organization monitor and protect sensitive information across on-premises systems, cloud-based locations, and endpoint devices. It also helps you achieve compliance with regulations such as the Health Insurance Portability and Accountability Act (HIPAA) and General Data Protection Regulation (GDPR). When it comes to security data, following information protection and governance best practices is critical Information protection places controls (for example, encryption) around sensitive data, while information governance determines its lifecycle (how long an organization retains the data). Together, they help your organization understand, safeguard, and govern its data.

Loss preventionexamples

Data loss prevention is a combination of people, processes, and technology that works to detect and prevent the leakage of sensitive data. A DLP solution uses things like antivirus software, AI, and machine learning to detect suspicious activities by comparing content to your organization’s DLP policy, which defines how your organization labels, shares, and protects data without exposing it to unauthorized users.

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Cryptography. Algorithm-based communication security to ensure that only the intended recipients of a message can decipher and view it.

A DLP solution is essential to your risk reduction strategy, especially when it comes to securing endpoints like mobile devices, desktop computers, and servers.

However, slightly more than 13% of the cases in the sample were false negatives that incorrectly recorded in NIBRS that they had not been resolved by an arrest or summons. The researchers’ analysis showed that the majority of these false negatives occurred in cases where a summons was issued rather than an arrest made.

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Software. Control who accesses and shares data in your organization. Establish policy controls to detect and prevent unauthorized data transfers, sharing, or leaks.

Automated classification gathers information, such as when a document was created, where it’s stored, and how it’s shared, to improve the quality of data classification in your organization. A DLP solution uses this information to enforce your DLP policy, which helps prevent sensitive data from being shared with unauthorized users.

A cyberattack is a deliberate, malicious attempt to gain unauthorized access to computer systems (business and personal) and steal, modify, or destroy data. Examples of cyberattacks include distributed denial-of-service (DDoS) attacks, spyware, and ransomware. Cloud security, identity and access management, and risk management are a few ways to protect your network.

Define your security requirements. Help protect your organization’s intellectual property and your employees’ and customers’ personal information.

When adopting a data loss prevention solution, it’s important to do thorough research and find a vendor whose solution is appropriate for your needs.

Document the deployment process. Ensure your organization has procedures to follow, reference material for new team members, and records for compliance audits.

A DLP solution gives you visibility into the sensitive data within your organization and helps you see who might be sending it to unauthorized users. Once you determine the scope of actual and potential issues, further customizations can be made to analyze data and content to strengthen your cybersecurity measures and DLP efforts.

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Explore how data protection requirements are changing and learn three steps to help modernize the way you protect your data.

A data breach can cost your organization millions of dollars, damage its reputation, and affect its revenue stream for years. A data loss prevention solution helps your organization:

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Loss prevention meaningin retail

With data threats, it’s a matter of when they’ll happen, not if they’ll happen. Choosing a DLP solution for your organization requires research and planning, but it’s time and money well spent to protect the sensitive data, personal information, and reputation of your brand.

Phishing is the act of sending fraudulent emails on behalf of reputable companies or other trustworthy sources. The intention of a phishing attack is to steal or damage sensitive data by tricking people into revealing personal information such as passwords and credit card numbers. They can target a single person, a team, a department, or an entire company.

Information security (InfoSec) refers to the security procedures that protect sensitive information from misuse, unauthorized access, disruption, or destruction, including both physical and digital security. Key elements of InfoSec include the following:

Understanding these options and how they work with your DLP solution can help jumpstart your journey to more secure data.

Customize your DLP solution to scan all data flowing through your network and block it from leaving the network by email, being copied to USB drives, or other means.

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Some of the most populous U.S. cities, including Boston and Chicago, currently do not use NIBRS because they have their own data systems. In Illinois, just 1% of the state’s law enforcement agencies report statistics using NIBRS, Wagner said.

DLP benefits begin with the ability to classify and monitor your data and include improving your overall visibility and control.

Data classification. Identify which data is sensitive and business critical, then manage and protect it across your environment—wherever it lives or travels.

Ransomware is a type of malware that threatens to destroy or block access to critical data or systems until a ransom is paid. Human-operated ransomware that targets organizations can be difficult to prevent and reverse because the attackers use their collective intelligence to gain access to an organization’s network.

“This is a human process in which a sophisticated data collection task is put on the shoulders of law enforcement professionals who have a million different responsibilities,” Cross said. “There were factors that detracted from the data’s accuracy that can be identified and addressed through support, training and resources.”

Reporting. Customized DLP reports may contain policy matches, incidents, and false positives. Reporting helps you identify the accuracy of your DLP policies and refine them as needed.

For example, in the sexual assault cases, 40% of the arrests were made a day or more after the crimes happened, according to the study.

Disaster recovery. A plan for re-establishing your technological systems after a natural disaster, cyberattack, or other disruptive events.

Insiders are people who have information about your data, computer systems, and security practices, such as employees, vendors, contractors, and partners. Misusing authorized access to negatively impact the organization is one example of an insider risk.

Encryption. Plaintext is transformed into unreadable cipher-text (more simply, data is converted into code) to prevent unauthorized access.

Cross said NIBRS’ designers created a single data field for reporting arrests and summonses to streamline an otherwise rigorous data entry task. However, this can lead to underreporting of summonses because users typically differentiate arrests – i.e., taking a suspect into physical custody – from summoning someone to appear in court.

The data sample included two of Massachusetts’ most frequent violent crimes – aggravated assault and sexual assault – along with simple assault and intimidation cases.

Infrastructure and cloud security. Security for your hardware and software systems to help prevent unauthorized access and data leaks from your public cloud, private cloud, hybrid cloud, and multicloud environments.

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