Search: “personal-data”

SpyCloud 2026 Identity Threat Report Finds Non-Human Identities Are Now the Leading Path into the Enterprise

SpyCloud's 2026 survey of 750 security leaders finds compromised non-human identities are the top enterprise entry point, yet only 36% monitor them.

SpyCloud's Identity Threat Report, based on a survey of 750 cybersecurity leaders at organizations with 500+ employees, found compromised non-human identities (31%) were nearly twice as likely as phishing (17%) to be the primary attacker entry point. 68% of organizations reported identity-based events averaging eight each, while 95% believe they have visibility into AI and NHI exposures but only 36% actually monitor them. The report also found 91% use AI tools with internal access but only 56% have formal governance, and introduces an Identity Threat Protection Maturity Model.

CSO Online·updated Sep 9, 12:54 UTC · 6d ago·first Sep 9, 12:00 UTC · 6d agoIndustry 3 sources

Halo-record: Open-source audit trails for AI agents

Developer Brian Kuan released halo-record, an open-source Python package creating tamper-evident, hash-chained audit logs of AI agent actions.

Halo-record is a roughly 5,300-line Python package with no runtime dependencies that records agent tool calls, model calls, data access and approvals into an append-only, hash-chained log that customers can verify without vendor trust. Adapters ingest records from OpenTelemetry spans, LangChain, MCP servers and gateway logs, with secret and PII values auto-redacted. The author plans to fund the work through a hosted witness service that stores the record count and head hash to prove completeness, citing mandates like AIUC-1, the EU AI Act, and insurers. The article cites the July Hugging Face intrusion, where an autonomous agent took roughly 17,600 actions over five days and manual reconstruction of its activity was impractical.

Help Net Security·Aug 31, 00:00 UTC · 16d agoAI tools & infra1

Personal Info Possibly Compromised at Japan’s Digital Agency

Japan's Digital Agency says unauthorized access to a network system may have compromised personal data of about 246,000 government employees.

Japan's Digital Agency reported that approximately 246,000 sets of personal information, including names and email addresses of government employees, may have been compromised through unauthorized access to a network system operated by the agency. The agency said no secondary damage, such as misuse of the potentially breached data, has been identified so far.

DataBreaches.net·Sep 11, 16:06 UTC · 4d agoData breach

Personal Data of Approximately 220,000 Domestic and International Gangnam Unni Users Leaked

Healing Paper's Gangnam Unni beauty platform leaked personal data of roughly 220,000 domestic and international users via abnormal API access on September 4.

Healing Paper, operator of the beauty medical platform Gangnam Unni, announced on September 7 that personal information of approximately 220,000 domestic and international users was leaked. The incident involved abnormal access on September 4 to the integration API used to view consultation records. The company disclosed the event through a public notice.

DataBreaches.net·Sep 7, 12:31 UTC · 8d agoData breach

88 ID Verification Breaches Show the Cost of Collecting Identity Data

A report catalogs 88 ID-verification breaches since 2011 exposing at least 2.15 billion records, with 41 incidents leaking irreplaceable biometric data and documents.

A Mysterium VPN report compiles 88 documented breaches since 2011 involving identity and age-verification data, with confirmed exposure of 2.15 billion records and claimed totals of 4.54 billion. In 41 of 88 incidents, ID scans, verification selfies, fingerprints, and biometric templates leaked, data that cannot be changed after exposure. Notable cases include the Tea app's exposed selfies, Discord's ~70,000 government IDs, vendor failures at AU10TIX, Sumsub, and Persona, and national registry breaches in Argentina (45 million records) and France (11.7 million people).

Security Affairs·Aug 26, 08:30 UTC · 20d agoData breach

18 ways to check whether data can be trusted for AI

ETSI published TR 104 180 defining 18 data quality metrics, including fairness and privacy, to assess whether datasets are fit for AI.

ETSI's technical report TR 104 180 defines 18 metrics across four groups - intrinsic quality, usability and lineage, fairness, and privacy - each with calculation formulas, plus an open-source tool that scores datasets. Testing on an aircraft engine sensor dataset and a US census dataset revealed a roughly threefold gender gap in high earners (about 31% of men versus 11% of women) and two privacy failures: re-identification via age, race, sex, and country, and sensitive fields stored in plaintext. The working group included Sejong University, EGM, TTA, Daejeon University, and CNIT.

Help Net Security·Sep 7, 00:00 UTC · 9d agoAI policy

Personal, Financial Info Exposed in Revolut Data Breach

Revolut says a scammer using a legitimate government agency email domain obtained affected users' PII, ID copies, selfies and full financial records.

Revolut, a London-based neobank serving over 80 million users in 160 countries, notified affected users that personal and financial data was exposed to a third party posing as a government agency. Exposed data included names, addresses, dates of birth, driver's licenses, passports, verification selfies, IBANs, account statements, withdrawal records and full transaction history including Bitcoin. Revolut blocked the attacker's email and notified the relevant agency, regulators and law enforcement, but did not disclose how many individuals were impacted.

SecurityWeek·Sep 14, 13:03 UTC · 1d agoData breach

Massive Vietnam-Linked APIS Database Exposes Passport and Flight Data

Exposed Vietnam-linked APIS database held 220.8 million passenger and crew records with passport and flight data from January 2017 to April 2026.

Kinryū Labs discovered an exposed Elasticsearch cluster named 'pax-info' containing 220.8 million passenger and crew records, about 107 GB across 29 indices, hosted on IP space assigned to Viettel in Hanoi. The records include names, birth dates, nationalities, passport numbers, and detailed flight information from airlines across Asia-Pacific, Europe and the Middle East. Researchers reported the exposure on June 3 and the database was secured by June 8 with Singapore Airlines coordinating; no evidence of theft was found, but missing server logs mean access cannot be ruled out.

Security Affairs·Sep 8, 11:01 UTC · 7d agoData breach

What the Data Says About AI in Security Operations in 2026

Prophet Security's 2026 survey of 250+ security pros: 40% use AI daily; AI users report 25%+ faster investigations and rising AI-driven attacks.

Prophet Security's State of AI in Security Operations 2026 report, based on a survey of 250+ cybersecurity professionals, found 40% of security teams use AI daily and only 4% have no adoption plans. Teams average 100 daily alerts (up to 1,000 at large firms), leave 28% of alerts uninvestigated, and 60% of respondents said missed alerts led to breaches or downtime. Among AI adopters, 72% report at least 25% faster investigations, 56% observed increased AI-driven attacks, and no respondents grant AI full unsupervised autonomy. Data privacy (44%) and explainability (41%) top the adoption hurdles.

The Hacker News·Aug 27, 11:30 UTC · 19d agoIndustry

GraphProfiler: Source-Linked Sensitive Attribute Inference via Personal Knowledge Graphs

GraphProfiler links LLM attribute inferences to source posts via personal knowledge graphs, enabling targeted redaction of privacy-leaking content.

GraphProfiler represents a user's post history as a source-linked personal knowledge graph where nodes and edges trace back to originating posts, making LLM-based attribute inference auditable. It reaches 86.7% attack success rate on the eight-attribute SynthPAI benchmark and 84.6% on PANDORA, within two points of strong text-only baselines, while citing supporting evidence for over 98% of predictions. Ablation experiments show removing cited posts reduces attack success substantially more than removing random posts, supporting targeted privacy mitigation.

arXiv cs.CR·Sep 11, 05:13 UTC · 5d agoResearch1

Veradigm Confirms Patient Data Exposed in Third-Party Data Breach

Veradigm disclosed a third-party vendor breach exposing patient data including Social Security numbers via stolen vendor API credentials.

Veradigm filed an 8-K with the SEC on September 8, 2026, disclosing that attackers used credentials stolen from a third-party vendor to access a specific vendor-facing API and download patient personal data, including Social Security numbers for some individuals. No clinical or medical information was compromised, and Veradigm's internal infrastructure was not breached directly. The company activated incident response, notified law enforcement, and is offering credit monitoring to affected individuals.

Cyber Security News·updated Sep 10, 13:31 UTC · 5d ago·first Sep 9, 16:46 UTC · 6d agoData breach in the wild 5 sources

Engineered Persuasion: Evaluating Personalized Pretexts in LLM-Generated Spear Phishing

A study of 180 US workers found each LLM phishing personalization level raised click-intention odds by 28%, but credibility depends on context fit.

The arXiv paper evaluates how personalized pretexts in LLM-generated spear phishing affect perceived credibility, using 180 US working adults across 1,436 evaluations of emails with four cumulative personalization levels, from workplace context to shared-project details. Convincingness rose 2.40 points per level in sensitivity analysis and click-intention odds increased 28% per level, while non-clickers shifted toward deleting rather than reporting. Qualitative coding showed details matching the recipient's role and routines supported credibility, whereas incorrect, vague, or channel-inappropriate details raised suspicion. The authors argue personalization effectiveness depends on pretext fit, with implications for workplace security training.

arXiv cs.CR·Sep 3, 19:21 UTC · 12d agoResearch

CounterPersona: Append-Only Defense Against Unauthorized Persona Skill Distillation

CounterPersona appends targeted counter-persona evidence after data collection to block AI systems from distilling an individual's behavioral patterns into reusable skills.

CounterPersona defends against unauthorized persona skill distillation, where attackers extract recurring patterns from collected personal data to replicate an individual's behavior. Unlike perturbation-based defenses that require modifying data before collection, it works in an append-only setting where historical records cannot be altered or revoked. It constructs targeted counter-persona evidence, packs compatible behavioral states into compact realization units, and strengthens them via rationale-guided consistency rewriting. Experiments show strong effectiveness across lexical, semantic, and LLM-based measures, remaining robust across different distillers.

arXiv cs.CR·Sep 14, 06:19 UTC · 2d agoAI safety & security

Reverse-Lookup Service Exposed Millions of Photos of People’s Faces

People-search service ClarityCheck exposed a database with more than 9 million facial image files despite marketing its reverse lookup as private and secure.

WIRED reports that ClarityCheck, a people-search tool offering reverse image lookup, left a database containing more than 9 million image files of people's faces exposed. The company markets the service as private and secure. The exposure affects millions of individuals whose facial photos could be linked to their identities.

WIRED · Security·Aug 19, 10:00 UTC · 27d agoData breach

Revolut handed customer data to fraudsters using government email account

Revolut handed sensitive KYC data of high-net-worth crypto customers to fraudsters submitting fake emergency data requests from a compromised government email domain.

Revolut confirmed it disclosed sensitive customer data—including passport and driver's license copies, verification selfies, bank statements, IBANs, and Bitcoin transaction histories—to attackers who submitted fraudulent emergency data requests from a legitimate government agency email account, apparently an Italian domain. Targets were high-net-worth individuals involved in crypto, including Marc Karpelès and entrepreneur Marc Zeller. A Telegram account claiming responsibility posted stolen data as proof and demanded an extortion payment; the account has since been suspended. Revolut says only a limited number of customers were affected and has alerted the relevant government agency, law enforcement, and regulators. The technique mirrors 2021-2022 Lapsus$-linked fraudulent emergency data request scams against Apple, Meta, and Discord.

The Record·Sep 14, 12:00 UTC · 1d agoData breach

Machine Unlearning as Private Retroactive Algorithms

A cs.CR paper defines private retroactive algorithms, showing machine unlearning is a data-maintenance problem and giving DP constructions for linear statistics, clustering, histograms.

The paper argues that machine unlearning's requirement to emulate retraining from scratch carries no meaningful privacy semantics against adversaries observing sequences of releases, recasting it as a data-maintenance question addressed by retroactive algorithms. It defines private retroactive algorithms, combining retroactivity with differential privacy under continual observation. Constructions achieve privacy and retroactivity at no asymptotic cost over privacy alone for linear statistics, clustering, and histograms, alongside impossibility results.

arXiv cs.CR·Sep 4, 16:32 UTC · 11d agoResearch

PIA-Bench: Towards Automated Privacy Impact Assessment with Large Language Models

Researchers release PIA-Bench, the first open benchmark evaluating how accurately LLMs can automate privacy impact assessments using 73 curated federal PIAs.

PIA-Bench is the first open benchmark for evaluating large language models on real-world privacy impact assessments (PIAs). The authors audited 499 expert-authored PIAs published by US federal agencies and curated 73 structured PIAs comprising 451 privacy risk items and 831 mitigation items. Off-the-shelf LLMs were found to produce meaningful assessments while identifying clear avenues for improvement. The paper calls for domain-specific LLM agent workflows, accountable LLM infrastructure, and new quality standards for PIAs.

arXiv cs.CR·Sep 11, 08:16 UTC · 4d agoResearch1

Security Data Isn’t the Problem. Security Context Is.

Horizon3 blog argues security context, not data volume, is the SOC bottleneck, promoting its NodeZero integration with CrowdStrike Falcon Next-Gen SIEM.

Horizon3.ai published a vendor blog explaining how its NodeZero Proactive Security Platform integration with CrowdStrike Falcon Next-Gen SIEM brings validated exposure findings into existing security operations workflows. The post argues SOCs are now limited by confidence rather than visibility, needing context to decide which issues matter. It cites a global chemical manufacturer that validated exploitable exposures with NodeZero before completing a $2 billion merger.

Horizon3.ai·Sep 15, 13:12 UTC · 18h agoTools

Governing Bring Your Own AI: A Parameterized Maturity Model

Researchers propose a parameterized governance model and maturity ladder for Bring Your Own AI, finding data exposure and compliance dominate BYOAI risks.

The paper studies Bring Your Own AI (BYOAI), where employees use personal generative AI accounts such as ChatGPT, Gemini, and Claude outside enterprise identity and security controls. Drawing on a curated corpus of 30 records (24 studies and 6 framework documents), the authors build a risk taxonomy, a five-level governance maturity ladder, and a parameterized model linking control-layer coverage to residual risk. Findings highlight data exposure and compliance as the most prominent risks, inconsistent framework engagement, and evidence that layered technical controls reduce modeled exfiltration risk more than prohibition-based approaches.

arXiv cs.CR·Sep 4, 15:03 UTC · 11d agoResearch

Revolut confirms customer data breach through fake government requests

Revolut disclosed customer identity data, including passports and possibly selfies, to an attacker using a legitimate government email domain.

Attackers impersonating a government agency used a legitimate agency email domain to submit fraudulent information requests, prompting Revolut to disclose customer identity and contact data to an unauthorized third party. Exposed data included birth dates, postal and email addresses, phone numbers, passport and driver's license copies, and possibly verification selfies, account statements, and transaction histories. Revolut said a limited number of customers were affected, blocked the email address, and notified the agency, law enforcement, and regulators, adding that systems and customer funds were unaffected. Security researcher ZachXBT reported the scam appeared to target high net worth users of the fintech, which serves over 80 million customers.

TechCrunch · Security·updated Sep 14, 11:20 UTC · 1d ago·first Sep 12, 14:40 UTC · 3d agoData breach in the wild 3 sources3

What we know about the Revolut data breach so far

Revolut confirmed an impersonation scheme exposed high-net-worth customers' identity documents, IBANs, and transaction histories to an attacker.

Revolut confirmed on September 12 that someone impersonating a government agency, using an email address on that agency's domain, obtained sensitive customer records. Exposed data includes birth dates, postal and email addresses, phone numbers, passport and driving licence copies, verification selfies, account statements, and transaction histories; ZachXBT added that IBANs, withdrawal records, occupations, and bitcoin transaction history were also included. Revolut says a limited number of customers were affected, the sender's address was blocked, and its systems and customer funds were untouched, with law enforcement and regulators notified.

Help Net Security·Sep 14, 07:02 UTC · 2d agoData breach1

Manchester Airports Group breached, millions of customers’ data stolen

Manchester Airports Group confirmed attackers stole customer booking and WiFi signup data affecting about 8.7 million customers across three UK airports.

Manchester Airports Group (MAG) confirmed an unauthorized third party obtained customer data tied to car park, lounge and Fast Track bookings and WiFi sign-ups at Manchester, Stansted and East Midlands airports. Stolen data includes email addresses, phone numbers, vehicle registrations and postcodes; no payment or banking details were held in the affected systems. UK media reported roughly 8.7 million customers affected. The Manage My Booking portal was disabled as a precaution, authorities were informed, and airport operations were not disrupted.

Help Net Security·Aug 31, 05:28 UTC · 16d agoData breach in the wild

Revolut Exposed KYC Data After Fraudulent Government Email Passed Security Checks

Revolut handed over KYC documents, selfies, and Bitcoin transaction histories to attackers after a fraudulent email from a genuine government domain passed authentication checks.

Revolut confirmed on September 12, 2026 that it disclosed sensitive customer KYC data to an unauthorized third party after a fraudulent information request was sent from an email account operating inside a real government agency's domain, carrying valid domain authentication credentials. The exposed data included identity documents (passports, driver's licenses), verification selfies, birth dates, contact details, IBANs, account statements, and full transaction histories including Bitcoin. Revolut discovered the fraud only after independently verifying with the agency, blocked the sender, and notified law enforcement and financial regulators, but did not disclose the number of affected customers or the agency involved. Researcher ZachXBT assessed the operation was targeted at high-net-worth users, useful for fraud, impersonation, or extortion.

Security Affairs·Sep 12, 21:05 UTC · 3d agoData breach

Revolut gave customer IDs and financial data to a government impostor

Revolut handed customer IDs, selfies, and financial records to criminals using a legitimate government agency email domain.

Revolut acknowledged disclosing sensitive customer records after accepting fraudulent information requests sent from an email address on a legitimate government agency domain, describing it as an external impersonation scam rather than a system intrusion. The London-based fintech, which serves more than 80 million customers globally, says customer funds were not affected and only a 'very limited' number of customers were impacted. Disclosed data includes identity and contact information, copies of passports and driver's licenses, verification selfies, account statements, and transaction histories. Revolut blocked the sending address and notified the relevant agency, law enforcement, data protection authorities, and financial regulators.

Malwarebytes Labs·Sep 14, 11:15 UTC · 1d agoData breach

RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments

RegionFed is a gradient-level federated learning framework enabling personalized retail query understanding while matching centralized accuracy with differential privacy.

RegionFed is an architecture-robust federated learning framework for personalized query understanding that operates at the gradient level, using the l2 conflict between regional and global gradients to diagnose heterogeneity and control personalization. Existing parameter-level personalized FL methods collapse on transformers, falling below 10% accuracy on T5, while RegionFed deploys unchanged on T5-Small, T5-3B, RoBERTa, and CNNs. RegionFed-Meta achieves 92.27% across Amazon ESCI, Amazon Reviews, and LEAF-FEMNIST, within 0.23 percentage points of the centralized upper bound, with epsilon-approx-0.60 differential privacy.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 17:50 UTC · 11d agoAI research1

Korea raises data breach fines to 10% of revenue

South Korea's privacy regulator will impose fines up to 10% of revenue for data breaches leaking personal data of 10 million or more people.

South Korea's privacy regulator is sharply raising penalties for data breaches, with fines reaching 10% of a company's revenue. The higher fines take effect Friday for companies found to have leaked personal data of 10 million or more people through intent or gross negligence. The regulator aims to push companies to treat data protection as a preventive investment rather than a routine cost of doing business.

DataBreaches.net·Sep 10, 13:36 UTC · 5d agoPolicy & legal

Revolut discloses data breach exposing financial info, passports

Revolut disclosed a breach after a threat actor spoofing a government agency's email domain obtained customer passports, selfies, IBANs, and full transaction histories.

Revolut told affected customers that a threat actor sent a data request from an unauthorized email account on an official government agency's domain, carrying valid domain authentication credentials, and staff fulfilled it believing it legitimate. Exposed data includes identity details, contact information, passport and driver's license copies, KYC facial verification selfies, IBANs, withdrawal records, and full transaction histories including Bitcoin. Revolut calls the number of affected customers 'very limited' but refuses to give exact figures, while ZachXBT says high-net-worth users appear targeted. This follows a 2022 Revolut breach affecting 50,150 customers.

BleepingComputer·Sep 14, 08:48 UTC · 1d agoData breach1· 1 read

UK’s Police National Legal Database Reveals Data Breach

Infosecurity Magazine·Aug 4, 08:40 UTC · Aug 4, 2026Data breach