IT, AI & Telecommunications

Reston – October 24, 2026 -- Fast Company has named Seekr's SeekrFlow platform to its 2026 Next Big Things in Tech list in the Established Excellence category, citing its ability to make AI explainable and defensible for enterprises and government agencies.

SeekrFlow targets the gap between AI outputs and regulatory defense

Organizations are moving AI into loan approvals, supply chains, critical infrastructure and national security, according to Seekr. Most still cannot show which data drove an output or defend it to a regulator, auditor or oversight body.

AI-Ready Data Engine and verification tools anchor the platform

The SeekrFlow AI-Ready Data Engine converts raw enterprise data into high-quality datasets. Its verification tools trace data influence, score accuracy and let teams contest and correct errors.

Europe – October 24, 2026 -- LKQ Europe is deploying Whatfix's Digital Adoption Platform and Product Analytics across LKQ Academy, a learning platform serving 70,000 registered users in 13 countries.

LKQ Academy is billed as Europe's largest digital learning provider for vehicle repair professionals

Whatfix, which describes itself as a global leader in agentic digital adoption platforms for enterprises, announced the deployment. The aim is to make learning simpler and more intuitive for the academy's user base. The rollout combines two Whatfix products: the Digital Adoption Platform and Product Analytics.

Whatfix is named in four 2026 Gartner Hype Cycle reports

Separately, Whatfix said it appears in four 2026 Gartner Hype Cycle reports. Two of them recognize it for Generative AI Simulators: the Hype Cycle for Future of Work and the Hype Cycle for Corporate Learning Technologies.

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.

Global – October 24, 2026 -- KMS Lighthouse leads a 15-vendor ranking of AI-powered sales knowledge management systems (KMS), rated the best all-in-one option for sales teams losing deals to knowledge gaps.

Six recurring problems are slowing sales teams

The ranking cites six common failures: institutional knowledge that is never captured, data silos between departments, call volumes managers cannot track or grade, reps distracted by information searches, documentation-heavy bureaucracy, and slow onboarding that requires extended oversight of new hires.

An effective sales KMS must analyze calls in progress, surface Battle Cards and decision trees, and automate call summaries. It also needs read-and-write integration with existing CRM and cloud systems, built-in training, and management tools for review and feedback.

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.

Tysons, Virginia – October 23, 2026 -- Permuta Technologies has published the third whitepaper in its series on AI and government, arguing that permissioning and audit logging can monitor single-vendor concentration of citizen data but cannot reverse it once it exists.

The paper, titled "You Can't Permission Your Way Out of Surveillance at Scale," examines the structural risks of AI-enabled, government-facing data fusion at national scale. It responds directly to Palantir's "Institutional Sovereignty in the Age of AI" framing.

Permuta says model-provider safeguards miss the concentration risk

The whitepaper accepts that zero data retention, model-agnostic architecture, granular permissions and continuous audit logging matter for third-party model providers. It argues they do not address a separate, higher-stakes risk: a single vendor ontology concentrating deeply sensitive citizen data across immigration, tax, health and defense agencies.

Global – October 23, 2026 -- Pitcher is repositioning its sales enablement software as an AI-native platform, adding a no-code enterprise app builder called Pitcher Catalyst and an intelligent agent named PIA to its content tools.

Pitcher Catalyst lets teams build data-connected apps in natural language

Catalyst allows teams to create fully functional, data-connected applications inside the Pitcher platform using natural language rather than code. Pitcher markets it as an Enterprise AI App Builder.

Pitcher Pathways converts company data into live presentations

Pitcher Pathways turns a company's data and content into dynamic, live presentations. Advisors and reps use them in client conversations, with the stated aim of increasing revenue.

Europe – October 23, 2026 -- Fujirebio Europe has replaced Showpad with Pitcher's sales enablement platform, citing deeper integration with Salesforce CRM and Microsoft SharePoint 365 as the reason for the switch.

Fujirebio Europe moves from Showpad after two years of mobile enablement

Fujirebio Europe took its first steps in mobile sales enablement with Showpad over a couple of years. It then moved to Pitcher to connect field content directly to its existing CRM and content management systems.

Christian Lindknud, Senior Global Business Manager for eBusiness and Strategic Initiatives at Fujirebio, said the platform keeps field teams on the most recent and relevant resources. Reps use them in customer meetings and to catch up on complex topics between sales calls.