Many companies are investing in Data Loss Prevention (DLP) solutions. However, according to the Fall 2021 survey by Proofpoint, even with a DLP solution, respondents still worry about being vulnerable to data loss.
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Why DLP solutions are inconsistent;
Different DLP...
This whitepaper looks at ways you can use CIAM to strengthen the perimeter around your customer data. From fine-tuning the balance you achieve between security, privacy for your customers, and the user experience they get when visiting your site to consolidating your user data into a single source of truth, CIAM can...
There are numerous threats targeting identity systems. Are you familiar with them all? In the first four months of 2021 alone, Auth0 observed more than 87,000 attempts to brute force multifactor authentication. For the inaugural State of Secure Identity report, Auth0 shares insights from our own trends and analysis to...
In our latest report, we detail seven primary cyber threats that organizations across the financial services sector will face in 2022. Some of them, such as ransomware, are not new but nevertheless remain a serious threat. Others, such as decentralized finance (DeFi) and cryptocurrencies, are newer, so to speak, and...
In order to keep pace with the card fraud threat landscape, financial institution CISOs must continually refresh their awareness and understanding of card fraud tactics, techniques, and procedures (TTPs). Even for the novice cybercriminal, there are few barriers to entry and near-infinite resources in illicit forums...
Keeping up with myriad data privacy and information security regulations has never been easy. Security mandates are complicated and constantly evolving. Adding to the complexity: organizations often face deadlines to meet compliance objectives – and fast.
Across industries and regions, compliance frameworks...
TLS machine identity-related outages—from expired, misconfigured or unknown TLS certificates—are the Achilles heel of digital transformation projects. Do it wrong and perfectly functioning applications and services can be rendered inoperable. Worse still the security controls you rely on, from traffic inspection...
Business leaders and CISOs continue to struggle with data security challenges that make it increasingly more difficult to guard against today’s cyber threats.
Download this whitepaper to learn about new data security software solutions to protect sensitive data more effectively.
Key topics include:
Data...
Insider risk and data loss prevention (DLP) are a top concern for organisations today. And it makes sense, with a distributed workforce and increasing reliance on technology, legacy, on-prem DLP technology hasn’t lived up to its promises.
That’s because data loss begins with people, whether careless, compromised...
Around the globe industries are implementing work-from-home policies. In most manufacturing companies, we have mixed employees from business to the factory floor, meaning that manufacturers can instantly enable remote work for these employees. By enabling remote access you will allow users to access and manage their...
Whether it's clients demanding robust data protection, surging ransomware attacks, or risky behavior by company insiders, law firms are under pressure to implement a comprehensive data protection strategy.
Before a data loss prevention (DLP) system can protect data, it must first know what data is sensitive (and what kind of sensitive). Data classification is the all-important prerequisite for data protection; without it, the system will be flying blind with no basis for detecting risks and enforcing policies. It is...
For much of its long history, DLP has been treated as the little brother to antivirus solutions, largely using the same technologies. AV engines inspected inbound content at the ingress to look for bad things like malware, while DLP engines likewise used signatures to inspect outbound content for “good things,”...
Data leakage protection (DLP) has a well-deserved reputation for being challenging to implement and mostly ineffective for securing an organization’s sensitive data. Enterprises regard it as a check-the-box tool for compliance, a necessary evil that has low accuracy, is difficult to configure, annoys users by...
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