data_security

Global – November 09, 2026 -- MIND has introduced an autonomous, context-aware data loss prevention (DLP) approach that blocks sensitive data leaks in motion and in use across Windows, Mac and Linux endpoints, replacing the manual, static compliance policies of conventional DLP tools.

MIND targets false positives and slow endpoints in legacy DLP

MIND argues that conventional DLP products block normal business activity, generate false positives and slow down machines, while still failing to stop the leaks that matter. In its view, this undermines executive and user confidence and leaves DLP programs short of their promise.

Hanoi – November 03, 2026 -- Vietnam's Government Cipher Committee and Viettel Group have unveiled VGC v1.0, a 28-nanometre security chip that runs a domestically developed cryptographic algorithm in silicon and performs encryption and decryption about 15 times faster than a software-only solution.

VGC v1.0 packs 300 million transistors into a 10 x 10 mm package

The chip is fabricated on a 28-nanometre CMOS process. Its first batch passed technical tests and received certification for socio-economic applications in the first quarter of 2026. Technical safeguards applied before fabrication are designed to reduce the risk of information leakage and reverse engineering.

The project targets data-exposure risks tied to imported chips. Embedding cryptographic functions in hardware is meant to give Vietnam more control over how the technologies protecting sensitive information are designed and verified.

SANTA CLARA – November 03, 2026 -- Sesame Software has launched a free migration assessment for organizations preparing to leave Salesforce, with a data expert delivering a scoped, priced migration plan based on each customer's actual data. Teams connect to the assessment read-only, and no credit card is required.

Sesame Software targets three concerns that keep teams on their current CRM

The company says staying on a CRM is often a default rather than a decision. It cites three barriers: losing records, attachments or relationships during the move; API limits and data volumes that make exports slow and fragile; and losing years of history after cutover.

Five-step process ends in a verification report before sign-off

Every migration runs through five steps: assess, map, dry run, transfer and verify. Sesame Software lists four customer commitments:

ORLANDO – November 03, 2026 -- iboss has announced AI DLP, a data loss prevention product that uses AI/ML to read content in real time and block sensitive data without relying on data labels, with private preview scheduled for December 2026.

The product targets data headed to AI platforms and tools, cloud apps and other cloud destinations. iboss says legacy DLP built on regex, pattern matching and labels only finds data that fits a pre-written pattern or carries the right label.

AI DLP classifies mislabeled and unlabeled files by inspecting content

Much leaked data has no fixed format, so rules searching for an account number or ID string let it pass. A file that is mislabeled or never labeled falls outside label-based policy and can leak.

Greenville, S.C. – October 29, 2026 -- Fort Hill LogiX, a patent-pending construction payment application review platform, now operates as a separate company from Fort Hill Associates. It is open to capital-project owners and the advisory firms that serve them, including competitors of its parent.

LogiX isolates customer data from Fort Hill Associates

The separation addresses a data-custody question that other firms raised when they saw the platform: whether submitting pay apps meant handing documents to a competitor. LogiX runs with separate staff access controls and tenant-level data isolation. Fort Hill Associates has no visibility into or access to other customers' data, and LogiX does not use owner data to train AI models.

Global – October 24, 2026 -- MIND can automatically apply a company's remediation policies when it detects an exposure issue in data at rest, or it can route the fix to a human reviewer first.

MIND targets three gaps that leave sensitive data exposed

The vendor says manual labeling of sensitive data is burdensome, error-prone and creates security gaps. Sensitive elements often go undetected, so compliance and security risks persist unnoticed. "Anyone with a link" sharing can bypass controls and give unauthorized users access to sensitive files without detection or restriction.

MIND classifies data using company-specific business context

The platform maintains a catalog of resources, users, authorizations, file activities and metadata. MIND says this catalog is meant to keep at-rest security policies effective over time.

Global – October 24, 2026 -- MIND is marketing a data loss prevention (DLP) offering aimed at autonomous AI agents, arguing that a single misconfigured agent can reach sensitive information and spread it across workflows or to external tools within seconds.

AI agents run inside SaaS platforms, custom workflows and third-party services

MIND says agents are no longer standalone tools. They are embedded across enterprise systems, often act autonomously and work at machine speed. Embedded and third-party agents operate beyond traditional security visibility, and because they touch multiple systems, they widen exposure of sensitive enterprise data.

SEATTLE – October 24, 2026 -- Only 20% of enterprise AI initiatives meet their intended KPIs, and 65% of CISOs lack confidence in their data security controls, according to new research from data security vendor MIND and the CISO Executive Network.

The report, "The Impact of Data Trust on AI Initiative Success," finds that 90% of organizations already run enterprise GenAI at scale. Security governance has not kept pace with that deployment.

Survey of 124 CISOs finds policies without machine-speed enforcement

The study combines a survey of 124 CISOs with twenty in-depth interviews drawn from the same group. Organizations have AI policies but struggle to enforce them at machine speed, the report says. Data estates remain unclassified and ungoverned, and security frameworks were built for human behavior rather than autonomous systems.

Global – October 24, 2026 -- MIND is marketing a cloud-native platform that connects to existing systems in minutes and classifies sensitive data across SaaS applications, on-premise file shares, endpoints and email, with the stated aim of sharply reducing false positive alerts.

MIND says legacy RegEx and tagging leave gaps in data security

The company argues that sensitive data is scattered across four environments: SaaS apps, on-premise file shares, endpoints and email systems. Many data security tools cover only narrow areas, creating silos and gaps where risk can build. Pattern matching, RegEx and user tagging, it says, produce incomplete views and excessive false positives.

MIND also points out that each business holds unique sensitive data beyond common identifiers such as credit card or social security numbers.

New York – October 14, 2026 -- Cyphlens has made in-document encryption generally available, letting AI tools read a contract while the confidential terms inside it stay unreadable. The company was also named a 2026 Gartner Cool Vendor in the "Coolest Vendor Innovations in Data Security" report.

Cyphlens replaces selected document regions with ciphertext in place

In one example, AI reviewing a customer agreement can find the renewal deadline but sees a cipher where the negotiated price would be. Only an authorized person can reveal the protected information.

The file remains an ordinary Word or PDF, with no encrypted container. Each protected region carries its own recipients, so one document can disclose different content to different readers. The capability is applied through a Cyphlens skill for Claude.