Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As AI becomes deeply integrated into critical business operations and adopted by increasing numbers of departments and employees, the volume and sensitivity of data flowing into these systems has grown exponentially. Companies now face a dual challenge: harnessing AI's potential while managing the substantial data risks it introduces.

Data and proactive insights garnered therein are vital strategic assets in the modern digital era. Amidst this backdrop, global regulations notably starting with the European Union (EU) Global Data Protection Regulation (GDPR) have become the vanguard to: It’s important to note too, that data sovereignty enables individual ownership of data and supports individuals to fully control how it is used while assuring that their data is protected in compliance with local regulations.

Securing PCI and PII data is at the core of what we do at Protegrity. You can try out Protegrity’s capabilities today, through our API Playground. This section walks you through some sample scenarios of de-identifying PCI data, so that it is removed from your environment and only reversed once it leaves it. To run this example, you have to be signed up to the Protegrity API Playground.

Azure Backup Vault, Azure Recovery Services Vault, and Azure Site Recovery make up Microsoft’s core suite of data protection and disaster recovery services. Azure’s vaults enable customers to store backups of entire Azure VMs, on-premise workloads, and workloads from Azure services such as Azure SQL Database, Azure Blob, and Azure Database for PostgreSQL. Azure Site Recovery integrates with Azure Recovery Services Vault to extend its backup services to support disaster recovery.

The rush to work faster with artificial intelligence (AI) risks encouraging employees to accidentally put sensitive data at risk. Take this scenario: someone in the procurement team has a tight deadline, so they upload a confidential contract into an AI tool to review a few redlines. It’s unclear if the AI system is storing the data from the contract, how long it’ll be retained, and if the data will resurface in a future prompt to someone else.

Departing workers can pose significant risks to data. Let me share a story about an individual who stole and deleted valuable research data right before submitting his resignation: six weeks after a contingent worker left the company, the FBI contacted us. It turned out that the individual had tried to sell the company’s confidential data to a third party. When he left, everything seemed normal.

Every year, companies reevaluate their budgets, making tough calls on where to invest for the most impact. In many organizations, cybersecurity spending is often seen as a cost center. However, without adequate security investments, companies put themselves at greater risk for data breaches that could disrupt business operations and damage customer trust, ultimately costing the company a lot more in the end.