Artificial Intelligence News for the Week of March 13; Updates from Anthropic, KPMG, Perplexity & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of March 13, 2026.
Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.
For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.
Artificial Intelligence News for the Week of March 13, 2026
Actian Launches AI Analyst To Turn Business Glossaries Into A Live Semantic Layer
Actian has introduced AI Analyst, a conversational analytics solution that automatically converts existing business glossaries and documentation into a governed Semantic Knowledge Graph. Business users can ask natural-language questions and get explainable answers backed by full traceability of sources, filters, and calculations, reducing hallucinations and metric drift while keeping business logic consistent across teams. The semantic layer updates as definitions change, helping enterprises move from raw data to trusted, query-ready insights in days instead of months.
Anthropic Uses Real Usage Data To Build A Task-Level Measure Of AI’s Job Exposure
Anthropic’s new “Labor market impacts of AI” paper introduces a task-level exposure measure based on how people actually use Claude, combining factors like whether tasks are automatable, how often they’re done in work contexts, and the share of a role they represent. Early evidence suggests AI exposure is higher in white-collar, higher-education jobs, and that current models could add around 1 percentage point to annual labor productivity growth over the next decade once reliability is factored in—roughly half the raw estimate. The authors stress that job loss is only one possible impact and that AI might also reduce hiring, change promotion patterns, or increase task volumes in some occupations, meaning labor effects are still “in the first inning.”
Read on for more→ https://www.anthropic.com/research/labor-market-impacts
Cribl Re-architects Search Around “Agentic Telemetry” For AI-Driven Security And IT Ops
Cribl has unveiled a new, AI-native Cribl Search experience built on an “agentic telemetry” architecture that structures and enriches data at ingest so AI agents can run orders-of-magnitude more queries without breaking the log budget. Structured data lakes and agent-optimized queries are designed to deliver AI-speed search across Cribl-managed and external data, turning telemetry into continuously queryable fuel for detection, troubleshooting, and observability. By automating normalization and eliminating brittle parsers, Cribl aims to help security and IT teams keep up with the data and query demands of agentic AI while cutting costs and time-to-insight.
Read on for more→ https://finance.yahoo.com/news/cribl-unveils-agentic-ai-enhancements-130000684.html
DXC’s LabX Promises Production-Ready AI Products In 90 Days, Proven First On DXC Itself
DXC Technology has unveiled LabX, an AI-native product incubation lab that turns validated business challenges into production-ready AI solutions in 90 days or less. Operating under a “Customer Zero” model, each LabX product must be co-designed with a sponsoring business unit, run on real production data, and prove stability and impact inside DXC’s own operations before broader rollout. LabX combines this discipline with a “Human+” philosophy, positioning AI systems as workflow orchestrators that augment people rather than replace them.
Read on for more→ https://dxc.com/insights/ai/labx
Illumio Study: Most Firms Can Spot Lateral Movement, But Nearly Half Can’t Stop It
A new global study commissioned by Illumio finds that 95% of organizations say they can detect unauthorized lateral movement, yet 46% admit they struggle to contain it once an attacker has a foothold. Respondents report that AI is making attacks harder to interpret and escalate faster, widening the gap between detection and effective containment. Illumio argues that scalable, precise microsegmentation and breach containment architectures are becoming essential to prevent minor intrusions from turning into major incidents across hybrid, multi-cloud environments.
Read on for more→ https://www.illumio.com/news/global-study-exposes-critical-gap-between-cyberattack-detection-and-containment
Kai Exits Stealth With $125M And A Vision For Machine-Speed, Agentic Cyber Defense
Kai has emerged from stealth with $125M in funding to build an “agentic AI” platform that continuously contextualizes, evaluates, reasons, and executes security tasks at machine speed across threat intel, exposure management, detection, and response. The platform is designed to replace fragmented security tools and manual, human-speed workflows with a cohesive system that autonomously handles end-to-end defense while keeping human operators in a supervisory role. Kai’s founders, veterans of prior category-defining security companies, ultimately want their platform to become an AI operating system that unifies IT and OT security functions and eliminates siloed, category-based defenses.
Read on for more→ https://www.prnewswire.com/news-releases/kai-emerges-from-stealth-with-125m-powering-machine-speed-defense-to-outpace-ai-enabled-adversaries-302708978.html
KPMG’s “AI Spark Innovation” Awards Dangle Outsized Cash Prizes For Internal AI Breakthroughs
KPMG US is launching the AI Spark Innovation awards, a program that offers “outsized” cash prizes—larger than typical year-end bonuses—to consultants who build AI solutions that materially improve client outcomes or internal efficiency. Targeted at staff from director level down, the quarterly awards will be funded from a dedicated budget that leadership is willing to overspend if enough ideas show clear impact and scalability across the firm. The initiative aims to nudge consultants away from purely billable-hours thinking and turn them into AI product innovators whose best ideas can be standardized and reused.
Read on for more→ https://www.businessinsider.com/kpmg-ai-spark-awards-cash-prizes-for-employee-ai-innovation-2026-3
Liquibase: AI Now Touches Production Databases In 96.5% Of Orgs, But Governance Still Lives In Spreadsheets
Liquibase’s 2026 Database DevOps Report finds that 96.5% of organizations have AI interacting with production databases—via analytics, training, internal pilots, or AI-generated SQL—while 68.1% deploy database changes weekly or more often. Yet governance remains largely manual: roughly 90% of database sessions occur outside CI pipelines, and many teams still rely on documentation, ad hoc reviews, and scattered evidence instead of automated controls. Liquibase warns that in the AI era, this governance gap amplifies the blast radius of a single unmanaged change across downstream analytics and AI systems, and urges organizations to shift governance “left” into developer workflows.
Mega Raises $11.5M To Offer SMBs A “Virtual Growth Team” Instead Of An Agency Retainer
Mega has closed an $11.5M funding round led by Emergence Capital to expand its AI-powered growth platform, which aims to give SMBs access to an enterprise-grade growth team without hiring agencies. The platform analyzes customer data, funnels, and market signals to recommend and automate experiments across channels like email, ads, and web, with a focus on revenue impact rather than vanity metrics. Mega plans to use the capital to expand its go-to-market, enhance its AI engine, and deepen integrations with CRM and marketing tools.
Read on for more→ https://www.globenewswire.com/news-release/2026/03/09/3251874/0/en/Mega-raises-11-5M-to-give-every-SMB-an-enterprise-grade-growth-team-without-the-agency.html
OneTrust Adds Real-Time, Runtime Controls To Shift AI Governance From Static To Continuous
OneTrust is expanding its platform with real-time AI governance and agent oversight capabilities designed to connect policy to operational controls across the AI lifecycle. New features link risk assessments and approved use cases to runtime monitoring and enforcement on key data and AI platforms, helping organizations keep pace as AI becomes embedded in everyday processes. OneTrust says the goal is to move beyond point-in-time compliance toward continuous governance that lets teams innovate quickly while maintaining trust and reducing risk as AI scales.
Read on for more→ https://www.globenewswire.com/news-release/2026/03/09/3251861/0/en/OneTrust-Expands-AI-Governance-to-Meet-the-Demands-of-Scalable-Real-Time-AI.html
Opsera’s AppSec AI Agents Aim To Make AI-SDLC Secure By Default
Opsera has introduced AppSec AI Agents for AI Builders, a suite of autonomous agents embedded in its Agentic DevOps platform that secure AI-generated code and enforce compliance from the first commit. The initial set includes an Architecture Analyzer, Compliance Auditor, Security Scanner, and SQL Scanner that validate design, automate evidence collection for frameworks like SOC 2, HIPAA, PCI-DSS, and GDPR, and find and remediate vulnerabilities and injection risks in AI-authored code. Opsera frames the release as a first step towards a full AI-SDLC, where coordinated agents orchestrate security, architecture, and CI/CD workflows instead of relying on manual gates.
Read on for more→ https://finance.yahoo.com/news/opsera-unveils-appsec-ai-agents-130300562.html
Qdrant Raises $50M To Push “Composable Vector Search” As A Standard For Production AI
Open-source vector search company Qdrant has raised a $50M Series B led by AVP, with participation from Bosch Ventures, Spark Capital, Unusual Ventures, and 42CAP, to scale its composable vector search engine for production AI workloads. Built in Rust, Qdrant lets teams combine dense and sparse vectors, metadata filters, multi-vector representations, and custom scoring at query time so they can tune relevance, latency, and cost without redesigning infrastructure. With over 29,000 GitHub stars, 250M+ downloads, and customers such as Tripadvisor, HubSpot, OpenTable, and Bosch, Qdrant aims to make composable retrieval a default layer for RAG, semantic search, and agent-based systems across clouds and edge.
Read on for more→ https://pulse2.com/qdrant-50-million-raised-for-composable-vector-search-infrastructure-for-production-ai/
Qurrent Raises $15M To Scale AI “Digital Workforces” For Back-Office Operations
Qurrent has raised $15M to expand its platform for building and orchestrating AI “digital workers” that handle complex back-office processes across finance, HR, and operations. The company claims customers can automate entire workflows—rather than individual tasks—by combining agents that read, write, and reason across enterprise systems while humans focus on exception handling and oversight. Funding will support product development and go-to-market as Qurrent positions digital workforces as the operating core of enterprises competing in the next decade.
Salesforce’s Agentforce Contact Center Makes CCaaS A Native Extension Of CRM
Salesforce has launched Agentforce Contact Center, a CRM-native CCaaS platform that unifies voice, digital channels, AI agents, and CRM data inside a single Salesforce environment. Service Cloud customers can now manage telephony, digital engagement, AI self-service, and human-assisted support from one system, with AI agents handling routine tasks and handing off full-context transcripts and histories to human agents when needed. Salesforce pitches the move as the end of bolt-on contact center integrations, reframing the contact center as the execution layer of CRM and agentic AI.
Read on for more→ https://www.salesforce.com/news/stories/agentforce-contact-center-announcement/
Semarchy Survey: Data Management Has Overtaken Cost And Talent As AI’s Biggest Roadblock
A new Semarchy survey of 1,000 C‑suite leaders finds that 51% now cite data management as their single biggest AI challenge, ahead of both cost and skills, as “significant” AI investment has tripled year over year and half of organizations now devote more than 20% of tech budgets to AI. Optimism is high—92% of leaders are confident they will reach their AI goals, up from 46% in 2025—but 83% say weak data skills and 82% say lack of a clear data strategy are holding them back. About 65% plan to develop “agentic data management” capabilities this year, signaling a shift from one-off dashboards to automated, AI-driven data quality, governance, and integration.
Snowflake: Healthcare Leaders See Interoperability As The New Prerequisite For AI At Scale
Snowflake and IBM’s Hakkoda unit report that 85% of healthcare and public health leaders now view improving interoperability—the secure sharing of data across clinical, administrative, and financial systems—as foundational to scaling AI beyond pilots. Compared with a 2023 survey that emphasized patient care coordination, leaders now cite operational efficiency and decision-making (74%), patient experience (71%), and value-based care (64%) as the top drivers for interoperability investments. The report positions interoperable AI data infrastructure as the key to turning AI spend into measurable efficiency, financial stability, and better outcomes.
Read on for more→ https://www.snowflake.com/en/news/press-releases/snowflake-research-reveals-85-percent-of-healthcare-leaders-view-interoperability-as-foundational-to-scaling-ai/
Solidatus’ AI Lineage Assistant Automates Audit-Ready Lineage From Messy Docs And Metadata
Solidatus has launched AI Lineage Assistant, an agentic tool that builds and maintains end-to-end data lineage maps across complex enterprise estates, producing audit-ready evidence for regulators and AI governance. The assistant stitches lineage across technical and business domains, ingests unstructured artifacts like PDFs and spreadsheets, and surfaces sensitive data flows and regulatory gaps, all with explainable reasoning and full approval trails. Changes are proposed in a controlled sandbox and only promoted with human sign-off, combining AI speed with defensible governance at a time when regulations such as the EU AI Act are tightening provenance requirements.
Read on for more→ https://itbrief.com.au/story/solidatus-unveils-ai-assistant-to-automate-data-lineage
SurePath Adds Real-Time MCP Policy Controls To Lock Down AI Toolchains
SurePath AI is introducing MCP Policy Controls, giving security and governance teams real-time control over which MCP servers and tools AI agents are allowed to use. All protected MCP traffic is routed through SurePath’s platform, where policies can be enforced at the server, endpoint, and even individual tool level, and a catalog of known MCP tools helps flag impersonation or rogue endpoints. The company says this closes a major visibility gap by turning previously opaque AI toolchains into governable, auditable infrastructure from day one.
Read on for more→ https://www.surepath.ai/blog/advances-real-time-mcp-policy-controls
ThoughtSpot Research: AI Leaders Plan Bigger Budget Increases—and Already See Faster Insights
New ThoughtSpot research shows a widening gap between AI leaders and experimenters: 93% of “AI Leaders” plan to increase AI budgets in 2026 versus 60% of those still experimenting, and 11% of all companies expect to boost spend by more than 50%. Among AI Leaders, 95% say they’re very confident in their analytics and AI insights, compared with just 45% of experimental organizations, and they report much faster time-to-insight, while nearly 40% of laggards still wait over 24 hours for a single answer. ThoughtSpot argues that AI maturity is a self-funding flywheel driven less by raw tech and more by aligning AI to business value and investing in AI literacy and change management.
Read on for more→ https://www.thoughtspot.com/press-releases/thoughtspot-research-2026-budgets-set-to-grow-as-business-leaders-become-more-confident-of-reaching-ai-maturity
Zapier: Lead Management, Not Content Creation, Is The Top Real-World AI Workflow
Zapier’s analysis of 10,000 AI-powered workflows shows that businesses are moving past one-off content-generation tools and wiring AI into end-to-end processes, with lead management emerging as the top automation use case. Sales teams increasingly use AI to qualify, score, route, and follow up on leads across CRM, email, and chat, while other popular workflows span IT ticket triage, HR onboarding, and finance operations. Zapier argues AI is becoming “infrastructure” for cross-app orchestration rather than a standalone assistant inside individual tools.
Read on for more→ https://finance.yahoo.com/news/zapier-analysis-10-000-ai-120000522.html
Zilliz Cloud Plugin Brings Billion-Scale Vector Search Directly Into Claude Code
Zilliz has released an official Zilliz Cloud plugin for Claude Code, letting developers manage clusters, collections, and vector search workloads through natural-language commands in their coding environment. From the Claude Code terminal, users can spin up and scale clusters across AWS, GCP, and Azure; define schemas; manage indexes; run dense–sparse hybrid queries; and handle RBAC, backups, and restores without switching tools. Zilliz pitches the integration as a way to bring its production-grade Milvus-powered vector database—supporting sub-10ms retrieval and multi-vector queries—into everyday agentic and RAG development workflows.
Read on for more→ https://zilliz.com/blog/zilliz-cloud-just-landed-in-claude-code
Expert Insights
Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.
Solutions Review is Getting Set to Host Everpure for the Exclusive Session ‘Beyond Infrastructure: Managing Data Sovereignty in the Agentic AI Era’ on March 17
Solutions Review team has partnered with Everpure to demonstrate how its Enterprise Data Cloud offering can replace manual “ticket-based” workflows with automated, self-service data delivery to provide teams with the data sovereignty and massive agility they need for the era of AI. Reserve your spot now for the hour-long Q&A and demo to gain valuable insights for elevating your AI ventures to the next level!
Insight Jam is Getting Set to Host Donald Farmer for the Expert Briefing: The Last Mile to AI & Why Analytics Leadership Matters on March 31
While AI can generate insights at unprecedented speed and scale, it cannot verify those insights against business reality, interpret them within organizational context, or take accountability when decisions go wrong. That responsibility still belongs to people. In this live Insight Jam session, Donald Farmer introduces the concept he calls the last mile: the critical gap between AI-generated output and trustworthy business action.
NEW Episode of the Human Conversation with Doug Atkinson: Where is AI Really Taking Us? Featuring Evan Kirstel
Tech influencer Evan Kirstel brings the optimist’s view while Doug pushes back hard. Is AI a productivity boom or a Terminator that won’t show pity? A spirited debate on job displacement, LLM limitations, and whether we’re overvaluing human capabilities.
Thought Leaders: The Five Stages of Data and AI Strategy Grief by Samir Sharma
I’ve been working with a number of clients from one end of the spectrum to the other. Greenfield to Brownfield to spendhugeamountsofmoneyfield! What I have seen in the latter two is that many of these organizations do not struggle with Data & AI because they lack ambition, it’s mainly down to the fact that they confuse investment with impact.
Thought Leaders: Your Executives Need to Hear This Before Your Next AI Project by Nicola Askham
AI conversations are happening in most organizations right now, and if you work in data governance, you’re probably right in the middle of it. AI is everywhere. Executives are excited, and rightly so. The possibilities are genuinely exciting: new services, reduced costs, greater efficiencies, things that simply weren’t possible before. It’s shiny, it’s fast-moving, and there’s enormous pressure to get on with it.
Thought Leaders: The Missing Piece in Olympic Analysis by Dr. Joe Perez
The most resonant data stories expand the frame without blurring the subject. Diplomas help us do exactly that. They encourage restraint in color and type, transparency in timelines, completeness in counts, respect for institutional context, and generosity toward the broader field of excellence. They remind us that sometimes the smallest artifact carries the biggest structural insight.
The Editors Lens: Leaders in Motion: Mastermind Groups Reveal the AI Economy’s State of Play by Tim King
New approaches to analytics leadership, governance, decision automation, and organizational design are emerging inside operating companies faster than traditional education channels can document them. In this environment, one of the most valuable forms of professional learning is proximity to leaders actively navigating change in real time. Increasingly, that learning environment is taking shape through peer mastermind groups.
The Editors Lens: The AI-Native Analytics Stack & How AI is Evolving BI in Real-Time by Tim King
The best data analytics and BI platforms were traditionally designed around a simple premise: data is collected, transformed, visualized, and interpreted by humans who ultimately make the decisions. Dashboards, reports, and ad-hoc queries formed the center of the analytics experience. Analysts explored data, business leaders consumed the output, and insights moved slowly through organizations as human interpretation translated information into action. That model is now beginning to break.
Contributor Series: In the Age of AI, Durable Skills are the Ultimate Competitive Edge by Intel’s Anshul Sonak and America Succeeds’ Tim Taylor
The future of work will not feature AI competing with humans. It will feature AI combined with humans who can use technology thoughtfully and apply it in ways that strengthen entire organizations. These durable skills include critical thinking, communication, collaboration, adaptability, creativity, empathy, and ethical judgment. They enable individuals and teams to use AI responsibly and innovatively, and they determine whether technology produces meaningful benefits.
Contributor Series: On Combining the Use of AI with Critical Thinking by Professor Dave Cameron
It is easy to tell tools such as Claude, or even ChatGPT, to create a Python program that predicts optimal spend using the objectives above, and explain the content of each of the inputs used to predict. For instance, past spend is certainly a predictor of future spend.
Contributor Series: The Evolution of Process Execution: Why AI Agents Need Guardrails Before They Scale by Pipefy’s Sobhan Daliry
For decades, enterprise process execution has been built on deterministic control systems. Workflows encode explicit rules. Decision trees predefine branching logic. Systems of record enforce transactional consistency. The architecture assumes that if conditions are known, outcomes are predictable.
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Insight Jam Launches Mesh Lab Episode 2 to Build a Framework for Work & Learning in the Age of AI: The Human Advantage
Insight Jam Mesh Lab is a year-long, monthly series of expert-led discussions dedicated to exploring and shaping the next generation of frameworks for work and learning in the age of AI. Rather than reacting to tools or trends, Mesh Lab is designed to initiate a sustained, cross-sector conversation about how human capability itself must be re-architected as AI becomes embedded across education, enterprise, and leadership.
Solutions Review Editors Publish New Whitepaper – Authority with Video & How Marketers Win GenAI Search
This is a market-presence strategy for enterprise marketers who want to move from campaign execution to category influence and even niche building, while also positioning their brands for visibility inside the large language models that increasingly shape how buyers discover, evaluate, and shortlist enterprise tech solutions.
Solutions Review Surpasses 250K on YouTube to Power Unmatched Media Momentum in Enterprise Tech & the Human Impact of AI
Solutions Review has officially surpassed 250,000 subscribers on YouTube, a milestone that’s about more than just the number. This moment marks the payoff of a deliberate, two-year strategy centered on authoritative video, human-led insight, and an early recognition of how AI search engines ingest information, assign trust, and surface sources at scale.
Solutions Review Editors Launch New ‘Human-AI Ledger’ Newsletter to Chronicle the Human Impact of AI
Artificial intelligence is everywhere—but understanding its human impact has never been more urgent. That’s where Solutions Review‘s latest newsletter, The Human-AI Ledger, comes in. Designed to chronicle how AI is reshaping the way we learn, work, lead, and live, this newsletter explores the soft side of AI—the non-technical, deeply human dimensions that determine whether this technological revolution helps us thrive or leaves us behind.
Sign up now to get a weekly debrief of the latest human-centric news, insights, and commentary coming out of this emerging discussion.
For consideration in future artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.
Tim King
Executive Editor
Tim is Solutions Review's Executive Editor covering the human impact of AI on the future of work and learning. He is also the Media Strategist behind Insight Jam (1M+ on YouTube) events and programming. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in multiple categories, Tim is a recognized thought leader in enterprise tech and AI.
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