147,321
Panera Bread has agreed to a $2.5 million settlement to resolve a class-action lawsuit stemming from a data breach on March 23, 2024. The breach compromised the personally identifiable information (PII), including names and Social Security numbers, of approximately 147,321 individuals. The affected population consists mainly of current and former employees, along with a small number of customers and contractors. The settlement, which received preliminary approval in July 2025, allows affected individuals to claim reimbursement for financial losses and time spent mitigating the effects of the breach, though Panera Bread does not admit any wrongdoing.
The case is a class-action lawsuit filed against Panera Bread alleging that the company failed to implement and maintain reasonable security procedures to protect sensitive personal information, leading to the breach. The settlement provides a framework for compensating victims for damages incurred as a result of the data exposure.
Settlement Terms:
The lawsuit and subsequent settlement underscore the legal and financial obligations organizations have under various state data breach notification laws and data privacy regulations, such as the California Consumer Privacy Act (CCPA). These laws require companies to implement reasonable security measures to protect PII and to notify affected individuals in a timely manner following a breach. Failure to do so can result in significant legal liability, regulatory fines, and class-action lawsuits.
For Panera Bread, the direct financial impact includes the $2.5 million settlement fund plus legal fees, which can be substantial. The company also faces reputational damage, which can affect customer trust and employee morale. For the 147,321 individuals affected, the primary impact is the increased risk of identity theft and fraud due to the exposure of their Social Security numbers. They must now invest time and potentially money in monitoring their credit and protecting their identities, which is what the settlement aims to compensate.
The primary penalty in this case is the $2.5 million class-action settlement. This amount is intended to cover the costs incurred by the victims and serve as a financial consequence for the alleged security failures. Regulatory bodies could potentially levy additional fines, but the class-action settlement is the most visible enforcement action in this instance.
This incident serves as a reminder for all organizations that handle PII, especially sensitive data like Social Security numbers.
Encrypting sensitive data like Social Security Numbers at rest in databases and file stores can prevent it from being usable even if exfiltrated in a breach.
Restricting access to servers and databases containing PII to only authorized personnel and systems can significantly reduce the risk of a breach.
Mapped D3FEND Techniques:
Implementing the principle of least privilege ensures that employees and service accounts only have access to the data absolutely necessary for their roles.
Mapped D3FEND Techniques:
To prevent the consequences seen in the Panera Bread breach, organizations must prioritize the encryption of sensitive data at rest. For data like Social Security Numbers stored in employee or customer databases, column-level or transparent data encryption (TDE) should be implemented within the database itself. For sensitive files stored on file servers or in cloud storage, file-level encryption should be applied. This ensures that even if an attacker bypasses network defenses and gains access to the underlying storage, the data itself remains unreadable and useless without the corresponding decryption keys. This control directly mitigates the impact of data exfiltration, which is the root cause of the damages leading to such class-action lawsuits.
A fundamental control to prevent breaches like Panera's is the strict enforcement of User Account Permissions based on the principle of least privilege. HR databases containing employee SSNs should not be accessible from the general corporate network. Access should be restricted to a small number of authorized HR personnel, using specific applications from dedicated workstations. Regular access reviews must be conducted to remove permissions that are no longer required. By tightly controlling who and what can access sensitive data, organizations can drastically reduce the attack surface and limit the potential for an attacker who gains an initial foothold to access and exfiltrate the company's most sensitive information.

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.
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