Interbank (Peru) Suffers Data Breach, Millions of Customer Records Leaked
Interbank, a major financial institution in Peru, confirmed a severe security breach on October 31, 2024, after a cybercriminal infiltrated its systems and exposed sensitive information of millions of clients on online…
Key points
- Interbank, a Peruvian financial institution, confirmed a data breach.
- Disclosed on October 31, 2024.
- Sensitive information of millions of clients was exposed on cybercriminal forums.
Connected intelligence
Signal brief
Follow the organization, likely method and potential impact to explore connected Shadow Tier intelligence.
- Published
- Oct 31, 2024
- Updated
- Jul 2, 2026
- Confidence
- High
- Evidence
- 2 sources
Structured assessment
Signal analysis
This analysis groups the signal by industry, likely incident action and impacted security area. It helps compare this signal with other published signals without treating the labels as final determinations.
Threat source
Watch exposure paths that could affect data, operations or third-party trust.
Business impact
- Impact area
- Confidentiality
- Likely asset
- User or customer data
Mentioned entities
Quick context
Questions about this signal
What happened in this signal?
Interbank, a major financial institution in Peru, confirmed a severe security breach on October 31, 2024, after a cybercriminal infiltrated its systems and exposed sensitive information of millions of clients on online forums. The leaked data reportedly includes full names, account numbers, dates of birth, addresses, phone numbers, emails, and credit card details.
When was this signal reported?
Shadow Tier lists Oct 31, 2024 as the signal date.
Which organization is connected to this signal?
Interbank is the organization connected to this public signal.
Explore InterbankWhich impact area is relevant?
This signal is connected to data exposure and breach intelligence based on its reported consequences.
Explore data exposure and breach intelligenceWhich sector context is relevant?
This signal is connected to insurance cybersecurity intelligence.
Explore insurance cybersecurity intelligenceRelated signals
Compare shared topics, actors and incident patterns before opening the full signal.
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U.S. Insurance Provider AssuranceAmerica Discloses Data Breach Affecting 6.9 Million People
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Xsolis Data Breach Exposes 1.4 Million Patient Records Across Eight Health Systems
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Xsolis did not report the incident to HHS until June 5 — roughly four and a half months after the initial intrusion. This delay has drawn scrutiny. Furthermore, Hendrick Health in Abilene, Texas, faced a separate lawsuit specifically citing delayed patient notification as a key concern. Xsolis has stated the company is not currently aware of any misuse of the stolen data. However, the company has declined to specify which types of patient information were exposed. A spokesperson confirmed Xsolis is notifying affected individuals but is not commenting beyond its June 5 public statement. The following health systems have confirmed involvement in the Xsolis data breach : Rochester Regional Health — Rochester, N.Y. Together, these eight organizations collectively serve patients across six states. Consequently, the breach spans a wide geographic footprint — from the Pacific Northwest to the Southeast and Midwest. Xsolis took several steps after discovering the breach . First, the company reported the incident to HHS on June 5. Next, it began notifying affected patients directly. Additionally, Xsolis released a formal public statement through PR Newswire acknowledging the security incident. However, critics note that the five-month gap between the January intrusion and the June disclosure raises serious questions. Under HIPAA, covered entities and business associates generally must report breaches within 60 days of discovery. Health systems and regulators are now examining whether this timeline met legal standards. Why This Breach Matters for Healthcare AI This incident highlights a critical vulnerability in modern healthcare operations. Health systems increasingly rely on third-party AI vendors for functions like utilization management and care coordination. As a result, these vendors hold highly sensitive patient records — making them attractive targets for cybercriminals. Phishing attacks remain the leading method hackers use to gain unauthorized access. Notably, a single successful phishing email at a vendor like Xsolis can cascade into a breach affecting millions of patients at multiple health systems simultaneously. Third-Party Risk in Healthcare Is Growing Third-party vendor breaches now account for a rising share of healthcare data incidents. Therefore, health systems that outsource clinical and operational functions to AI companies must treat vendor cybersecurity as a direct extension of their own risk management. Regulators, including HHS’s Office for Civil Rights, actively scrutinize business associate agreements (BAAs) and breach timelines. Health systems found to lack adequate vendor oversight face fines and reputational harm alongside their vendors. Health system leaders should act quickly when a vendor breach occurs. First, they must verify whether their organization was part of the affected vendor’s client base. Next, they should request a full incident report from the vendor, including the timeline and scope of data access. Additionally, health systems must assess their own HIPAA obligations independently. Even when a vendor like Xsolis handles patient notifications, the covered health system retains compliance responsibility. Going forward, health systems should strengthen third-party risk programs. Key actions include conducting annual security assessments of all AI and health IT vendors, requiring vendors to carry cyber liability insurance, and including clear breach notification timelines in every BAA. Furthermore, phishing awareness training must extend beyond a health system’s own staff. Health systems should require vendors to demonstrate regular employee security training as a contract condition. Ultimately, a vendor’s security posture directly affects every patient record that vendor touches. Vendor breaches, regulatory shifts, and the governance gaps in between. Here's what happened this month in third-party risk management news. Financial institutions are legally accountable for what their vendors do with customer data. Outsourcing a function doesn't outsource the liability that comes with it — a principle that runs through GLBA Safeguards Rule requirements, state privacy laws, and open banking obligations under Part 1033. Vendor contracts need to do more than check a compliance box: they should specify permitted data uses, require breach notification within 24–48 hours, include audit rights, and address AI governance for any vendor using automated decision-making. Fourth-party risk also warrants explicit contract language requiring vendors to disclose and flow down obligations to their own subcontractors. A phishing attack on a healthcare AI vendor exposed 1.4 million patient records. Xsolis, which provides AI-powered utilization management to hospitals and health insurers, was breached through a single phishing email, exposing Social Security numbers, health insurance details, and medical treatment records across seven major hospital systems including Mayo Clinic. At least one organization — Rochester Regional Health — had ended its relationship with Xsolis in 2021, yet its patient data was still in scope at the time of the breach. Most of the 1.4 million affected had no idea the vendor held their information at all. Third-party vendor incidents now account for 58% of all healthcare data breaches, and this case is a concrete reminder that data deletion at offboarding is a risk control, not an administrative afterthought. The Klue breach reached LastPass customer data. Attackers used OAuth tokens stolen from Klue to access LastPass's Salesforce environment, exposing customer names, contact details, and support case records. Password vaults were unaffected, but the stolen data is enough to fuel targeted phishing. Fourth-party risk in practice: a vendor relationship several steps removed still produced direct customer harm. How to Avoid Common Third-Party Risk Management Mistakes
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