Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

‍ In the modern workplace, data exposure can happen in mere seconds. Legacy data loss prevention tools have often been considered bulky, manual, and time-intensive—especially when it comes to alert resolution and user training.

Personal information also referred to as personally identifiable information (PII) and Protected Personal Information (PPI), has a good and bad side for companies. All businesses record the personal information of their clients (names, debit/credit cards, address, etc.) to identify them and execute certain business operations. These business operations may range from meeting payrolls, to filling orders, and advertising. This makes the user and business operations run much faster and smoother.

An enterprise browser (EB) on its own provides a secure managed environment on unmanaged devices and BYOD for web access to company applications and resources. However, alone as an island, EB often lacks TLS traffic inspection and the ability to provide data security and DLP controls.

Generative AI (GenAI) applications, especially through Retrieval-Augmented Generation (RAG) pipelines, are transforming business interactions with data. These pipelines leverage language models and extensive enterprise knowledge bases for real-time queries of large internal datasets. Robust data privacy and security solutions are essential. Amazon Bedrock’s native security guardrails address this need.

Immutable backups (IB) are a robust defense mechanism against the consequences of cyberattacks. The latter can be considered an “evolving constant,” while DevOps environments closely link development and operations. IT teams adopt CI/CD pipelines and centralized applications utilizing multi-cloud deployment. And that usually translates into a growing attack surface (check 2024 DevOps Threats Unwrapped).

The way we think about data security is changing. Organizations need to protect sensitive information while still making it accessible for innovation and business growth. But as cyber threats grow more sophisticated and regulations become more stringent, security teams face a major challenge. This is where Data Security Platforms (DSPs) come in—they provide a unified approach to safeguarding data, ensuring compliance, and reducing complexity.

Sensitive data is information that must be protected against unauthorized disclosure. It can be in physical or electronic form and includes PII (Personally identifiable information), PHI (Protected health information), and more. There are three main types of sensitive data that hackers and malicious insiders tend to exploit: personal, business, and classified information.

By 2028, more than 70% of workloads will be running in the cloud. Being in an always-online, ever-connected environment has a myriad of benefits, but it also brings its own risks. IT leaders and compliance experts must constantly question and re-evaluate their security postures, particularly when it comes to compliance. Violating regulations like HIPAA, GDPR, and PCI-DSS can have serious financial and legal implications, not to mention the damage to your reputation.