Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Automatic visibility: the key to a more proactive data security program

In today’s rapidly evolving digital landscape, the ability to see, understand, and control data movement within an organization is more critical than ever. Cyberhaven’s customers are turning to our Data Detection and Response (DDR) platform to power their data security programs, moving away from legacy solutions that fail to offer comprehensive visibility. Cyberhaven stands out by providing unmatched insights into data usage and movement across every part of an organization.

The top 5 reasons endpoint agents are essential for data security

Agents can be a pain, we know! From deployment, to managing upgrades, dealing with agent conflicts, and responding to user complaints, we know security teams would rather achieve their objectives without an endpoint agent. But, when it comes to securing your company’s data, there are certain use cases that can only be achieved with an endpoint agent.

Mastering Cloud Data Protection: Strategies for Resiliency

As the cloud becomes increasingly integral to modern businesses, cloud data protection (CDP) gains importance. From safeguarding against data loss due to accidental deletion or system failures to protecting against cyber threats like ransomware, CDP is the foundation of a resilient cloud strategy. The cloud brings its own set of challenges, from the dynamic nature of containerized workloads to the complexity of multi-cloud environments.

Improve security with instant feedback: how policies with notifications educate users

Real-time feedback on risky behavior stops sensitive data exfiltration and educates employees on security best practices, based on research from Cyberhaven Labs analyzing data on warning and blocking policy implementations.

How to Protect Your Data: Tips and Best Practices

With the rise of cyber threats and data breaches, ensuring your personal and business information remains secure is paramount. Hackers are continually developing more sophisticated methods to access sensitive data, and the consequences of a breach can be devastating. From financial losses to reputational damage, the risks are high. This blog will provide you with valuable tips and best practices to help you safeguard your data effectively.

One platform, complete protection: why data security is moving on from point solutions

As the world enters the AI Era, CISOs and CIOs are looking at data security with renewed interest and urgency. Instead of multiple overlapping yet disconnected tools, it’s time for one unified platform to trace and secure data wherever it goes.

Enabling Data Protection for ZTNA with Lookout

In today's remote work landscape, Lookout Secure Private Access integrates AI-enhanced Data Loss Prevention (DLP) into its ZTNA framework for seamless application access and robust data security. By applying contextual policies based on user identity, application data, device, and location, it ensures efficient protection without disruption. Safeguard confidential data, including intellectual property, through encryption and dynamic masking, simplifying security while ensuring access to essential tools.

Modern data security: why the convergence of DLP and IRM is more effective than the sum of its parts

In the past decade, organizations seeking to protect sensitive data from negligent or malicious insiders faced two choices: invest in a Data Loss Prevention (DLP) product or an Insider Risk Management (IRM) product. These solutions addressed the same problem from different angles. DLP products focused on analyzing data content to control its movement, while IRM products monitored user behavior for risky actions.

Brazil Temporarily Halts Meta's AI Data Processing Over Privacy Concerns

Brazil's data protection authority, Autoridade Nacional de Proteção de Dados (ANPD), has issued a temporary ban on Meta from processing personal data of users to train its artificial intelligence (AI) algorithms. This decision stems from concerns over inadequate legal justification, lack of transparency, and potential risks to privacy rights, particularly for children and adolescents.
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Six steps to protecting data in financial services companies

There is no shortage of news headlines about companies falling victim to cyber breaches and the astounding costs associated with them. According to the IBM Cost of a Data Breach Report 2023, the global average cost of a data breach in 2023 was $4.45 million, a 15% increase since 2020. For the financial services industry, the cost is even higher at $5.9 million per breach; that is 28% above the global average.