Data Protection

Seattle – November 09, 2026 -- MIND has launched DLP for Agentic AI, a data-centric security product that identifies active AI agents across the enterprise and on endpoints, detects risky data access in real time, and autonomously alerts and remediates issues.

MIND targets data access before AI agents act

Agentic AI can autonomously create, access, transform and share data across SaaS applications, local devices, homegrown systems and third-party tools. MIND says that without clear visibility and controls, the resulting data security gaps can slow AI adoption and put business outcomes at risk.

The company says it secures the data rather than the models or their outputs. Sensitive data is understood, governed and protected before any AI agent can access or act on it.

Berlin – October 29, 2026 -- Almost one in three full-time employees in Germany (32%) can still reach digital resources of a former employer after leaving, and 54% of that group keep using them, according to a new survey by HR platform provider Deel and research firm Censuswide.

The poll covered 2,000 full-time desk-based workers in Germany and was released for Cybersecurity Awareness Month in October. Accessible resources include old business email inboxes, cloud storage, project management platforms and other digital tools. Only 49% of respondents say their access was fully deactivated.

New York – October 29, 2026 -- Bold Security, an endpoint data loss prevention (DLP) startup that has raised $40 million, has been named to the 2027 Fortune Cyber 60 in the early-stage category, its first year on the list.

Fortune list screens 60 unexited venture-backed security startups

The Fortune Cyber 60 is developed with Lightspeed Venture Partners and AWS. It covers venture-backed cybersecurity companies that have not had an IPO, acquisition or other significant exit. Lightspeed evaluates hundreds of candidates on annual recurring revenue, year-over-year growth and validated operating data, then groups the 60 selections into three stages of 20.

Holmdel, N.J. – September 30, 2026 -- Index Engines' CyberSense Research Lab found that 47.8% of 1,064 ransomware strains detonated in the first half of 2026 relied on directory-entry destruction, more than double the 18.3% that used full encryption, marking a shift away from techniques that trigger standard security scans.

Attackers now suppress the telltale signs security tools rely on

The lab documented new ransomware built to preserve file extensions and timestamps, maintain low entropy, and encrypt only selected sections of files slowly enough to avoid detection thresholds. One variant, Encoder, destroyed file content while leaving names, sizes, timestamps, and entropy readings unchanged, according to Jim McGann, CMO of Index Engines. A surface scan would report that data as clean, McGann said, while CyberSense identified the corruption by analyzing file content and structure directly.