Artificial Intelligence News for the Week of March 27; Updates from BigID, Cisco, Oracle & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of March 27, 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 27, 2026
Anaplan Expands AI Planning With CoModeler, Custom Analyst, And Agent Studio
Anaplan has announced a set of AI-driven planning enhancements, including CoModeler, Custom Analyst, and Agent Studio, alongside 12 new purpose-built applications. The company says the additions bring predictive, generative, and agentic AI directly into planning workflows so enterprises can make faster decisions with more domain context. Anaplan is positioning the release as a move toward decision infrastructure rather than just scenario planning software.
Apollo.io Buys Pocus To Build A More Agentic Go-To-Market Stack
Apollo.io has acquired Pocus to push its vision of an AI-native GTM operating system. The combined platform is meant to help sales and revenue teams use richer intent data and more automated workflows across prospecting, routing, and execution. Apollo is framing the deal as a step toward a single operating system for modern go-to-market teams rather than separate point tools for enrichment, engagement, and intelligence.
Read on for more→ https://www.prnewswire.com/news-releases/apolloio-acquires-pocus-to-advance-its-vision-for-an-ai-native-gtm-operating-system-302718870.html
Bland’s Norm Turns Voice-Agent Building Into A Prompt-Driven Workflow
Bland has launched Norm, an AI assistant that can build a production-ready voice agent from a single prompt. The system generates the structured prompt, agent logic, and pathways automatically, then uses protected branching and diff visibility so teams can review changes before deployment. Bland is pitching the assistant as a way to compress voice-agent development from weeks to minutes while preserving reliability and production safety.
Cisco Recasts Security For Agentic Workforces Around Identity, Guardrails, And Runtime Control
Cisco says the rise of AI agents requires a new security model built around trusted identities, zero-trust access, and guardrails enforced at every stage of the agent lifecycle. At RSAC 2026, Cisco is highlighting tools to harden agents before deployment, monitor and restrict their actions at runtime, and protect the models, data, and workflows they interact with so agentic AI can be adopted without exploding risk. The company frames this as a shift from traditional workload protection to security designed for software that can independently act on behalf of users and systems.
Read on for more→ https://newsroom.cisco.com/c/r/newsroom/en/us/a/y2026/m03/cisco-reimagines-security-for-the-agentic-workforce.html
CSA Defines The Agentic Control Plane As The New Security Boundary For AI Systems
The Cloud Security Alliance is formally targeting the “agentic control plane,” which spans identity, authorization, orchestration, runtime behavior, and trust across autonomous AI systems. The point is that securing the model alone is no longer enough; enterprises need governance over how agents are provisioned, what they can access, and how they behave once running. CSA’s framing makes agentic AI a cloud-security and identity problem as much as an AI problem.
Read on for more→ https://cloudsecurityalliance.org/press-releases/2026/03/23/csa-securing-the-agentic-control-plane
Databricks Launches Lakewatch As An Open, Agentic SIEM Built On The Lakehouse
Databricks has introduced Lakewatch, a new open agentic SIEM that unifies security, IT, and business data in a governed environment so AI agents can detect, triage, and respond to threats at machine speed. The product is built around open formats and an open ecosystem, and it extends Databricks’ lakehouse to multimodal sources like logs, video, and audio for use cases such as insider threat and social engineering detection. Databricks is positioning Lakewatch as a replacement for stagnating SIEM tools, not just an add-on, with the agent layer handling investigations and response workflows.
Read on for more→ https://www.databricks.com/blog/databricks-announces-lakewatch-new-open-agentic-siem
Datadog’s Bits AI Security Analyst Shrinks Investigation Time To Seconds
Datadog’s Bits AI Security Analyst is now generally available and reduces some Cloud SIEM investigations from hours to as little as 30 seconds. The agent autonomously investigates alerts using security and observability signals, then returns fully explained verdicts that SOC analysts can use to prioritize response. Datadog is pitching the product as a way to fight alert fatigue and machine-speed attacks while giving teams broader coverage across clouds, identities, EDRs, and telemetry.
Read on for more→ https://finance.yahoo.com/sectors/technology/articles/bits-ai-security-analyst-reduces-130000006.html
Domo Launches AI Agent Builder And MCP Server To Wire Enterprise Data Into The AI Ecosystem
Domo has launched AI Agent Builder and an MCP Server to connect enterprise data to external and internal AI tools. The release is designed to help teams build and govern agents on top of Domo data products rather than duplicating datasets across multiple AI systems. Domo is framing the move as part of a broader platform shift toward agentic applications and reusable data assets that can safely plug into the AI ecosystem.
Read on for more→ https://www.domo.com/news/press/domo-launches-ai-agent-builder-and-mcp-serve
NVIDIA’s KubeCon Push Centers On Kubernetes As AI Infrastructure
At KubeCon 2026, NVIDIA is highlighting upstream contributions and control-plane improvements that turn Kubernetes into a stronger substrate for AI infrastructure. The company announced the donation of its GPU DRA Driver to the CNCF, along with confidential containers for GPU workloads and updates to the NVIDIA KAI Scheduler. NVIDIA’s message is that GPU orchestration is moving from vendor-specific plumbing to community-owned cloud-native infrastructure that can support secure, large-scale AI deployment.
Read on for more→ https://blogs.nvidia.com/blog/nvidia-at-kubecon-2026/
NTT DATA Says Cloud Value Gaps Are Now Threatening AI Ambitions
NTT DATA’s global study finds that only 14% of enterprises fully realize cloud value, even though 99% say AI is increasing cloud investment pressure. The report argues that legacy applications, fragmented data, and rising ecosystem complexity are leaving modernization underfunded and security investments underprioritized, which in turn slows AI scale-up. NTT DATA frames cloud as the execution layer of the AI operating model, meaning companies that can’t modernize cloud foundations are likely to struggle with production AI.
Operant AI Turns Inference Security Into An Ecosystem Offer
Operant AI has launched an AI Infrastructure Ecosystem Partnership Program to embed real-time security directly into inference infrastructure for AI, agents, and MCP. Partners get access to runtime defense components like AI Gatekeeper, MCP Gateway, and Agent Protector so they can deliver inline discovery, detection, and defense without bolting security on afterward. Operant is positioning the program as a way to make speed and security co-exist in enterprise AI stacks rather than forcing a tradeoff.
Oracle Launches Fusion Agentic Applications To Put Coordinated AI Agents Inside Core ERP Workflows
Oracle has introduced Fusion Agentic Applications, a new class of enterprise apps built into Fusion Cloud that use coordinated specialized agents to execute business processes in real time. Oracle says the applications can act on unified enterprise data, policies, approvals, permissions, and transaction context, with governance and observability built in rather than bolted on. The company is also extending Oracle AI Agent Studio with an Agentic Applications Builder so customers can compose reusable Oracle, partner, and external agents without traditional app development.
Read on for more→ https://www.oracle.com/news/announcement/oracle-introduces-fusion-agentic-applications-2026-03-24/
Proofpoint Reworks Email And Data Security For The Agentic Workspace
Proofpoint is unifying secure email gateway and API-based email protection into a single architecture while adding AI-driven data access governance for humans and agents. The company says the new model gives security teams visibility into human, non-human, and AI-agent access to sensitive data, with automated remediation for risky access and broader DSPM coverage across hybrid and cloud environments. Proofpoint is framing the “agentic workspace” as the place where collaboration security and data security now meet.
Read on for more→ https://www.proofpoint.com/us/newsroom/press-releases/proofpoint-redefines-email-and-data-security-agentic-workspace
Relyance AI Launches Lyo To Monitor How Agents Interact With Enterprise Data
Relyance AI has made Lyo commercially available, calling it an autonomous data-defense engineer for monitoring how AI agents interact with enterprise data. Lyo continuously maps identity-to-data relationships, watches activity across code, cloud infrastructure, MCP servers, SaaS apps, and third parties, and applies policy alerts and contextual classification around sensitive data flows. The product is meant to give teams a complete data exposure graph so they can secure agentic systems without losing visibility or control.
Read on for more→ https://www.businesswire.com/news/home/20260323000065/en/Relyance-AI-Sets-New-Enterprise-Data-Security-Standard-with-Commercial-Availability-of-Lyo
Salesforce Launches AI Foundry To Turn Research Into Enterprise-Ready Models
Salesforce AI Research has announced AI Foundry, an initiative aimed at turning AI breakthroughs into enterprise deployments. The effort focuses on models and infrastructure that can be adapted to business use cases while maintaining reliability, cost control, and workflow integration. Salesforce is positioning Foundry as a bridge between frontier research and practical enterprise AI adoption.
Read on for more→ https://www.salesforce.com/news/stories/ai-foundry-announcement/
Spade Raises $40M To Turn Messy Transaction Strings Into Finance-Grade AI Data
Spade has raised $40 million in Series B funding led by Oak HC/FT, with backing from a16z, Flourish, Gradient, NAventures, National Bank of Canada’s corporate VC arm, and Y Combinator. The company’s platform converts raw payment and transaction strings into structured, verified records so banks and fintechs can use them for AI, analytics, and workflow automation. Spade plans to use the capital to deepen platform capabilities and expand to meet demand from financial institutions that need better foundational transaction data for production AI.
Read on for more→ https://www.finextra.com/newsarticle/47486/spade-raises-40m-to-build-data-and-ai-platform
Stelia And Nokia Tie High-Trust AI To Open-Standards Networking
Stelia has teamed with Nokia to strengthen enterprise AI deployments with open-standards networking integrated into Stelia’s governed AI infrastructure. The collaboration is aimed at making AI more dependable across distributed systems by improving secure information flow from operational sites to cloud infrastructure. Stelia is positioning the partnership as a way to support production-quality AI where trust, governance, and connectivity matter as much as model performance.
Read on for more→ https://newsroom.stelia.ai/stelia-and-nokia-collaborate-to-advance-ai-for-enterprise/
Zapier And Rillet Connect The General Ledger To Thousands Of Apps
Zapier and Rillet are partnering on an AI-native finance stack that links an intelligent general ledger with Zapier’s 8,000-plus app integrations. The goal is to let AI agents orchestrate financial workflows like month-end close, approvals, reconciliations, and GL sync across the broader software ecosystem without custom engineering work. The partnership reflects a growing pattern in finance automation: core systems becoming agent-friendly while orchestration moves into the integration layer.
Read on for more→ https://www.businesswire.com/news/home/20260325858089/en/Zapier-and-Rillet-Partner-on-AI-Native-Finance-Stack-Connecting-AI-ERP-to-8000-Apps
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.
What to Expect at Mini Jam, Q1 2026: The Skills Reckoning on March 31
All-in, Mini Jam Q1, 2026 provides an unparalleled opportunity to gain insights, engage with experts, and stay at the forefront of the conversation on the human impact of AI. Be sure to register for free at Insight Jam to watch all the sessions live or on demand.
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: What an AI Governance Expert Wants Every Company to Know Featuring Asha J. Palmer
They dig into why businesses can’t resist replacing headcount, what the collapse of junior coding and paralegal roles signals for every profession, and why upskilling it’s a survival necessity. Asha brings both the legal compliance lens and the human one, and the result is one of the most grounded conversations yet about what it means to stay relevant in an AI-powered world.
The Editors Lens: The 9 Best Cross-Cultural Training & Workforce Development Solutions by 2026 by Tim King
As we evolve from a traditional enterprise technology publisher into a broader media platform covering the human impact of AI, categories like cross-cultural training, global workforce development, and interpersonal capability building are moving to the forefront. The vendors included in this list represent a cross-section of that evolving market—from established cultural intelligence leaders to modern platforms leveraging AI and coaching to build durable human skills.
The Editors Lens: AI ROI: How Should Enterprises Benchmark AI Success? by Tim King
AI success ultimately depends on trust. When decision-makers cannot rely on the outputs generated by AI systems, adoption slows, and business impact becomes elusive. As a result, organizations are beginning to rethink how AI initiatives should be designed and measured, shifting toward strategies that prioritize trusted data, consistent definitions, and architectures capable of delivering reliable, governed information at scale.
The Editors Lens: Why Brand Mentions on Authoritative 3rd Parties are a Core GEO Signal by William Jepma
Search engines rank pages, but LLMs synthesize assertions. When a buyer asks an AI assistant which vendors offer, say, a cloud-native identity governance platform, the model is not retrieving a ranked list of URLs. It is drawing on a probability distribution shaped by everything it has been trained on—and, in retrieval-augmented configurations, by what it can currently access. What counts as a credible assertion in that context is heavily influenced by the breadth and consistency of claims across sources that the model has reason to trust.
The Editors Lens: Is Your Brand Cited in AI Answers? If Not, You’re Not on the Vendor Shortlist by Tim King
Enterprise marketing teams are still largely operating under a familiar assumption: if your content ranks, your brand will be discovered. For years, that assumption held. SEO performance was a reliable proxy for visibility, and visibility translated into pipeline. That assumption is now breaking down in a way that is not immediately obvious in your dashboards.
Thought Leaders: Five Winning Traits of Agentic Analytics Leaders by Kevin Petrie
We use BARC primary research to profile this 27%, whom we call agentic analytics leaders, and identify five winning traits: agentic analytics leaders are mature, governed, measured, adoption-focused, and broad-based in their use of AI. We define each trait below and recommend next steps for the other 73% of organizations to start acquiring them.
Contributor Series: Why AI Tools Fail Without Orchestration & How Leaders Are Fixing It by Zapier’s Brandon Sammut
There’s a common reason why AI feels both promising and frustrating: most people still use it outside the systems where their work actually happens. The tools themselves are capable, but they often operate in isolation. In practice, AI shows up as a set of helpers rather than as part of a coordinated system.
Contributor Series: Evaluating AI in Regulated Environments: Why Decisions Matter More Than Models by Quantexa’s Dan Higgins
AI is accelerating what teams can process and automate. But when AI begins to influence decisions that materially affect customers, finances, or compliance, such as credit approvals, fraud detection, underwriting, and claims, the stakes change. It is no longer just about model performance. It is about whether decisions shaped by models, rules, and increasingly agent-driven workflows can be explained, reviewed, and defended when it matters.
Contributor Series: Good Friction: The Leadership Blueprint for a Human-Agentic Workforce by DXC’s Dan Gray
Rather than blanket automation, organizations are intentionally designing moments where human insight, judgment, and collaboration create value that AI alone cannot. This is what we call “good friction.” Leaders are effectively deciding what kind of AI relationship they want to build: one in which AI assists professionals in doing their jobs better, or one in which AI delivers outcomes more directly, with humans supervising, governing, and shaping decisions from a higher vantage point.
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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.
How One Solutions Review Article Reshaped AI Answers Across an Entire Software Category
Something just happened in the AI search landscape that most companies will miss. But the ones who understand it will have a multi-year advantage. In January, Solutions Review recorded a 324 percent increase in media domain citations across AI answer engines in less than 30 days.
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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