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83% of Companies Got Breached—The Smart Ones Use Data Masking
According to Verizon's 2025 Data Breach Investigations Report, a staggering 83% of organizations experienced a data breach in the past year. This alarming statistic highlights the vulnerability of companies' most valuable asset: their data. While cybersecurity threats continue to evolve ...
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When Compliance Becomes the Catalyst: How Regulatory Reforms are Rewriting the Archiving Playbook
Regulatory compliance has emerged as a driving force transforming the archiving industry from a storage-centric function into a cornerstone of strategic governance. Global mandates such as GDPR, HIPAA, SEC 17a-4, FINRA, CCPA, and new AI governance laws are tightening requirements ...
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Archiving with Intelligence: How is AI Bringing About a Paradigm Shift in the Email Archiving Space?
Listen to the blog [embed]https://www.solix.com/blog/wp-content/uploads/2025/09/archiving-with-intelligence-how-is-ai-bringing-about-a-paradigm-shift-in-the-email-archiving-space.mp3[/embed] Email remains one of the most reliable pillars of enterprise communication, playing far more than just a role in everyday collaboration. Most employees in any organization consider email as a medium to communicate and ...
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Beyond Data Silos: How Knowledge Graphs are the New Engine for Pharma AI
As the race to bring life saving therapies to market accelerates, the pharmaceutical industry is pushing the boundaries of biology while learning to harness an unprecedented explosion of data. Spanning multi‑omics, clinical trial data, legacy LIMS, and real‑world evidence, this ...
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From Data Overload to Data Discipline: Minimization in a Compliance-Driven Era
Enterprises across the globe are navigating a complex data paradox. Data is core to multiple organization-wide initiatives such as digital transformation, AI transformation, competitive differentiation and creating a niche value proposition. However, the accumulation of unprecedented volumes of data as ...
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RHITL: Why the Right Human in the Loop Actually Matters
TL;DR: From HITL to RHITL Traditional Human-in-the-Loop (HITL) often fails because it relies on generic oversight—people "checking boxes" without deep expertise. This blog introduces RHITL (Right Human-in-the-Loop), arguing that for AI to be truly production-ready, oversight must be strategic rather ...
