5 Progressive Strategies for Cloud Data Loss Prevention in 2023

Nowadays businesses from various industries use cloud environments to store and process huge amounts of data from organizations and individuals. This data may include sensitive and confidential details including personal data, financial records, intellectual property, and business secrets hence it very essential to take measures to safeguard the data against potential cyber-attacks, human errors, and other incidental of data loss.

What is Data Loss Prevention?

It is a group of techniques, guidelines, and tools to prevent unauthorized or accidental loss, leakage, and exposure of sensitive data. DLP aims to prevent unauthorized people or entities from accessing, using, or disclosing sensitive and confidential information.

DLP includes several methods and tools for locating, keeping track of, and regulating the transfer of sensitive data through a variety of media including networks, endpoints, storage devices, and cloud environments. Data classification, policy enforcement, monitoring, and incident response capabilities are frequently combined.

Strategies for Cloud data loss prevention

1. Data Classification and Monitoring

It may be a difficult task because a large amount of data is being generated. Data classification according to source applications, data storage, and the user who created the data is a quick and scalable method.

We can apply appropriate security policies after identifying sensitive data using advanced data classification algorithms. Utilize monitoring tools to keep track of real-time data transfer, and access patterns, and verify suspicious activity. This makes it possible to anticipate probable data loss problems and respond accordingly.

2. Use Encryption and Tokenization

They are two effective methods for safeguarding sensitive data in the cloud. Data is encoded using a secret key during encryption so that only authorized users can access it. On the other hand, tokenization involves replacing sensitive data with a token.

Techniques like encryption and tokenization make it much harder for hackers to access sensitive data, which can help prevent data loss. Even if they gain access to encrypted or tokenized data it will not be resolvable without the secret key or tokenization algorithm.

3. Implement Cloud access security brokers

It is a security tool that is between the company’s on-premises infrastructure and the infrastructure on the cloud. These techniques serve as guards that watch over all data traffic to and from the cloud while enforcing security rules to stop unauthorized access, data exfiltration, and other security risks.

Any cloud security strategy must include CASBs because they let businesses impose uniform security standards across all cloud services and apps. They also offer insight into all cloud activity, enabling security professionals to recognize and address possible problems immediately.

4. User Behaviour Analytics (UBA)

Use UBA solutions to analyse user behaviour and spot any irregularities that can point to data exfiltration or unauthorized access. UBA uses machine learning algorithms to recognize deviations from the norm in user behaviour and to set up prompt data loss prevention measures.

5. Employee training with cybersecurity practices

It is crucial to provide employees with best practices for cybersecurity. All team members must have the necessary tools to protect themselves and priceless corporate data against accidental loss. This means giving regular training will guarantee that all the employees will know to keep organizational data secure.

Topics like email security, password hygiene, and phishing awareness should be covered in training. To keep employees updated and give regular reminders on the latest threats.

Benefits of Cloud data loss prevention

• It safeguards sensitive data stored and processed in the cloud and enables organizations to identify and classify sensitive information, apply controls, and prevent unauthorized access.
• Organizations may demonstrate their dedication to protecting sensitive information and reduce the possibility of non-compliance fines by putting DLP safeguards in place.
• They enable real-time monitoring of data movement, access patterns, and user behaviour, allowing organizations to identify potential risks, detect anomalies, and respond promptly to incidents.
• Cloud data loss prevention (DLP) solutions are made to work with many cloud platforms and services, offering constant data protection irrespective of the cloud provider or infrastructure.

Abstract

Data leakage is getting worse every day thus it’s critical to stop it and boost data security. On the internet, there are a lot of cybercriminals at work, and it is quite tough to get rid of them all.  Hence, it is important to maintain track of data and update security frequently to protect from hackers and malicious websites.

Sapizon Technologies is a leading company in providing cloud computing services for businesses by deploying secure, flexible, and scalable DLP solutions.