Zero Trust

Technology

Last mentioned: Mar 26, 2026

Timeline

  1. Portfolio Expansion Announcement

    Embee Software announces the integration of advanced Microsoft security tools and Zero Trust frameworks into its cybersecurity portfolio.

  2. Google Intelligence Report

    Google issues a formal warning regarding the transition to exfiltration-only extortion models.

  3. Profit Compression

    Ransomware groups report lower success rates in collecting payments for decryption keys.

  4. The Great Convergence

    Full integration of IAM and DSPM into unified security fabrics becomes the industry standard.

  5. Backup Maturity

    Widespread adoption of immutable backups reduces the leverage of file encryption.

  6. The AI Catalyst

    Generative AI increases the sophistication of identity theft and data sprawl.

  7. Cloud & Identity Shift

    Rise of SaaS and remote work moves focus to IAM and Zero Trust principles.

  8. Perimeter Era

    Focus on firewalls and network-based security to keep attackers out.

Stories mentioning Zero Trust 3

Threat Intelligence Bearish

Google Reports Ransomware Pivot to Data Theft as Extortion Profits Wane

Google's latest threat intelligence reveals a strategic shift among ransomware operators, who are increasingly abandoning file encryption in favor of pure data exfiltration. This transition, driven by diminishing returns from traditional ransom demands, forces a critical reassessment of corporate defense strategies focused on data privacy over mere system recovery.

2 sources
security Neutral

The Great Convergence: Identity and Data Security Merge in the AI Era

The historical silos between identity management and data protection are rapidly dissolving as artificial intelligence forces a unified approach to cybersecurity. This strategic shift moves organizations toward a model where identity serves as the primary control plane for securing sensitive data in a perimeter-less environment.

2 sources

About Zero Trust coverage

This page surfaces every story mentioning Zero Trust across our cybersecurity coverage. We track each entity's appearance over time so readers can trace how the narrative evolves — which developments are isolated incidents, which build into longer arcs, and which reframe how operators in the space think about the entity. Story selection uses the same multi-source verification gate applied across the rest of our coverage.

Read our editorial methodology for how we identify, deduplicate, and score entity references. Our glossary defines the technical terms used across stories on this page, and our trends index contextualizes individual developments against the longer-running cybersecurity beat. Cross-entity comparisons live on our compare view.

What you seeWhat it tells you
Story countNumber of distinct stories where Zero Trust was a primary or referenced actor.
Recency clusteringWhether mentions are concentrated in a recent window (a news cycle) or distributed (a sustained arc).
Sentiment distributionAggregate sentiment of the stories mentioning this entity, weighted by impact score.
Cross-niche linksWhen the same entity surfaces in our sibling networks, we link to those views to enrich context.