
Explore SARS-CoV-2's neuropathology through spatial biology. Discover infected brain barrier cells, interferon-gamma signaling in hiPSC-derived BCECs, and gene expression analysis using spatial transcriptomics in FFPE tissue sections.

Explore epidemiological data's role in understanding chronic diseases and identifying high-risk individuals through biobank studies and molecular measurements.

Explore how large language models enhance data loss prevention by enabling full-text analysis and document categorization, improving sensitive information detection beyond pattern-based matching.

Explore innovative strategies for efficient, cost-effective data collection and log enrichment tailored to Detection and Response teams' unique requirements in cybersecurity.

Explore Internet ephemerality through hourly scans, revealing insights on service stability across ports, protocols, and ASNs. Implications for research and future scanning methodologies discussed.

Learn to build a comprehensive WHOIS dataset for enhanced reconnaissance, exploring data collection methods, WHOIS/RDAP intricacies, and open-source tools for effective cybersecurity and OSINT operations.

Rethinking cybersecurity metrics: A practical framework for developing effective detection & response measurements that incentivize progress and tell a compelling story to leadership.

Explore techniques for accurately quantifying ICS exposure on the Internet, addressing challenges like honeypots and non-critical devices to provide a comprehensive yet measured analysis of real ICS vulnerabilities.

Harnessing LLMs to automate BOLA detection in APIs and web applications, reducing requests by 99% while uncovering critical vulnerabilities and submitting multiple CVEs.

Standardizing password surveys to improve reliability and enable cross-organizational comparisons. Open-source initiative for better data collection and analysis in password security research.

Explore solutions for managing sensitive data using Databricks' Unity Catalog. Learn how to leverage AI and organizational capabilities to protect data throughout its lifecycle while enabling processing and operational use.

Discover how Databricks optimized Blackberry's EDR system, improving incident detection speed, reducing query latency by 20%, and cutting costs by 30% while enhancing data management and cybersecurity capabilities.

Industry leaders discuss leveraging healthcare data marketplaces, integrating third-party data, and maximizing ROI through data sharing and AI collaboration on the Databricks platform.

Rivian's innovative cybersecurity lakehouse enables real-time, cross-team detections, automating response management. This scalable solution reduced implementation time and increased coverage, outperforming proprietary SIEM systems.

Explore the integration of satellite data with enterprise systems, unlocking new insights through earth observation and AI. Learn about challenges, opportunities, and use cases in this emerging field.

Explore solutions for implementing "Right to be Forgotten" in data lakehouses using Delta Live Tables, ensuring compliance with GDPR and CCPA privacy regulations.

Explore Mastercard's innovative use of Databricks Clean Rooms for secure multi-party data collaboration, featuring privacy-enhancing technologies and automated solutions for modern data challenges.

Strategies for GDPR compliance in real-time data pipelines using Databricks tools. Covers immediate solutions with Delta Lake's CDF and long-term plans for PII separation, offering practical privacy compliance approaches.

Innovative use of data and technology to address foster care challenges, mobilizing communities and empowering leaders for positive change in child welfare systems.

Comprehensive guide to investigating disease outbreaks, covering methodologies, data analysis, and practical approaches for identifying and controlling infectious disease spread.

Explore pathogen discovery techniques, their importance in disease ecology, and applications in understanding emerging infectious diseases and outbreak management.