“Enterprise AI is moving beyond isolated performance benchmarks to solving full-system production deployments,” said Anil Nanduri, vice president, AI Products & GTM, Intel Data Center Group. “This collaboration ensures developers have Day-0 readiness and high-performance inference software directly optimized for Intel CPUs, GPUs and accelerators with an open approach and gives them the freedom to choose the tools, frameworks and technologies that best fit their needs.”

Why It Matters

Enterprises require heterogeneous, open inference infrastructure, as AI models grow larger and more complex. To deliver AI in production it requires that every prompt is routed to the right place, matching the different workloads with the right intelligence, right compute and right economics. Open inference runtimes provide the essential connective tissue that makes full-stack deployments practical, reliable, and economically sustainable across diverse enterprise environments.

Also Read: Plurai Raises $13 Millions to Build Trustworthy AI Agent Infrastructure 

What It Delivers for Developers

This collaboration expands developer choice to deploy leading AI models on enterprise-proven Intel hardware. Model builders and software engineers can build and innovate on standard, open frameworks and interfaces while taking full advantage of Intel’s compute density and built-in hardware acceleration features, including Intel Advanced Matrix Extensions (Intel AMX). Developers gain faster time-to-production, reduced latency, and flexible deployment options across existing data center and cloud capacity.

“Our collaboration with Intel is a major milestone for open-source AI inference, enabling SGLang optimization directly to Intel’s platforms,” said Ying Sheng, CEO, RadixArk. “By upstreaming deep optimizations into the core framework, we are eliminating constraints and ensuring developers never have to compromise between open standards and high performance. Our mission to make frontier AI infrastructure open and accessible to every builder, and Intel’s enterprise-ready architecture gives development teams the flexibility and compute density they need to scale production AI workloads seamlessly.”

An Open Blueprint for Production AI

Bringing hardware and software optimization together reflects Intel’s approach of contributing improvements directly to community software, rather than treating them as separate deployment decisions. These upstream contributions to popular engines and frameworks aim to provide high-performance paths for turning breakthrough models into scalable, production-grade applications while preserving flexibility, choice and broad architectural freedom.

Source: Businesswire

The post Intel and RadixArk Partner to Advance Open AI Inference appeared first on ITDigest.

Plurai, the simulation infrastructure for trustworthy, self-improving AI agents, announced $13M in seed funding and the general availability of its platform. The platform helps enterprises find and fix failures before their agents reach customers, then keeps them reliable, accurate and cost-efficient in production with small language models (SLMs) tailored to each agent’s tasks. Plurai has cut design partners’ agent development cycles from months to hours, reduced failures reaching real users by 82% and lowered the cost of running reliable agents by 97%. In joint work with NVIDIA and Nebius, models Plurai post-trained for a global enterprise customer outperformed OpenAI and Anthropic frontier models on accuracy at 40x and 44x lower cost, respectively.

The round was led by Team8, with participation from U&I, Velocity and Mercer, and backing from more than 20 angel investors and industry leaders, including CyberArk founder Udi Mokady. Microsoft 365 Copilot CTO Dr. Eyal Carmi has joined Plurai’s advisory board.

While AI agents are easier to create than ever, making them reliable and cost-effective with real customers is far harder. VentureBeat Pulse Research recently found that half of enterprises have deployed an AI agent or LLM feature that passed internal evaluations but still caused a customer-facing failure in production. Teams spend months manually checking their agents, but they can never anticipate every scenario agents will meet in production, and once agents are live, using frontier LLMs to run and to evaluate every interaction is too slow and too expensive to scale.

From simulation to production

Plurai builds a digital twin of an agent and its world based on the customer’s own knowledge base, tools and policies. It then runs thousands of realistic and adversarial users against the agent in a sandbox, covering the long tail of edge cases and exposing policy violations, hallucinations, incorrect actions, broken tool calls, failed tasks and sensitive data leaks.

The same simulation is then used to optimize the agent. Plurai generates fixes for the failures it finds and uses the simulation data to create small language models (SLMs) tailored to each agent. In production, these SLMs play two roles: they can replace frontier LLMs to run the agent, improving accuracy at a fraction of the cost, and they act as always-on evaluators and guardrails, checking every action and enforcing company policy. New failures they catch feed back into the simulation, so the agent keeps improving over time.

Previously limited to select partners and customers, Plurai is now open to every agent builder, with a free tier. Developers can start directly from the tools they already use, including Claude Code, Codex and GitHub Copilot, and teams can simulate and improve agents built on enterprise platforms such as Salesforce Agentforce.

Also Read: Bridging the Production Gap: How EXL’s Acquisition of Aimpoint Digital Accelerates Enterprise AI and IT Services 

Founders shaped by autonomous driving

Co-founders Dr. Ilan Kadar (CEO, PhD in computer science and machine learning) and Dr. Elad Levi (CTO, PhD in mathematics) have spent the past decade bringing reliable AI systems into production in mission-critical environments. At Nexar, where Kadar was VP of AI and Levi was an AI architect, they led efforts to build real-time, scalable and reliable systems for autonomous driving companies like Waymo, which rely on simulation to validate self-driving systems before they reach the road.

Their research and open-source projects are used by hundreds of thousands of developers worldwide and Plurai’s technology is grounded in the company’s own original research. This includes BARRED, a new method for generating synthetic training data for custom SLMs, which was accepted at ICML 2026, one of the world’s leading machine learning conferences. Other research has shown how to serve hundreds of tailored SLMs in real time on a single GPU, making them economically viable at scale.

“AI systems fail when they hit challenges down the road which no one predicted,” said Dr. Kadar. “Waymo built trust by testing and training across more than 20 billion simulated miles, roughly 100 times its real-world driving. Plurai brings that same approach to AI agents: continuously challenging them with the hardest situations and rarest events before they reach users, learning from failures, and improving before those failures happen in the real world.”

Validation and traction: NVIDIA, Nebius and Gartner

Plurai is already working with enterprises across AI-native and highly regulated industries, including Fortune 500 and major financial companies. In addition to the work with NVIDIA and Nebius, Plurai was named a Representative Vendor in Gartner’s 2026 Market Guide for AI Evaluation and Observability Platforms, a category Gartner projects 60% of software engineering teams will adopt by 2028, up from 18% in 2025. It was also featured in Gartner’s “8 Emerging Practices for Testing AI Agents.”

“As agents move into core enterprise workflows, the missing layer is infrastructure that builds trust in them before they reach customers and keeps them improving in production,” said Aviad Harell, Managing Partner at Team8. “Simulation will become as fundamental to the agent stack as CI/CD is to software. Ilan and Elad bring deep AI expertise and over a decade of bringing AI into high-stakes production systems, and they’re the team to build that layer.”

Additional Quotes

“AI is probabilistic. Enterprises are not,” said Udi Mokady, founder of CyberArk, chairman of CHEQ and an angel investor in Plurai. “The founders have spent more than a decade building AI for mission-critical environments like autonomous driving, where systems don’t get second chances. That experience shows in how they approach agents, and it’s what separates AI that can be deployed from AI that can be trusted.”

“For enterprises, evaluating AI agents on real customer data is often blocked by privacy, security and compliance constraints, which makes simulation mission-critical,” said Dr. Eyal Carmi, CTO of Microsoft 365 Copilot and a member of Plurai’s advisory board. “What sets Plurai apart is how faithfully it recreates each company’s world, from its tools and policies to the users its agents actually face. And it doesn’t stop at finding failures. It turns what it learns into fixes and production safeguards, so teams can deploy agents with confidence.”

“Frontier models are incredibly capable, but using them to continuously evaluate agent behavior in production can quickly become expensive and impractical,” said Reah Miyara, Senior Director of Google Models at Google Cloud, former model evaluation lead at OpenAI and an angel investor in Plurai. “What I find compelling about Plurai is the idea of using smaller, tailored models to make evaluation continuous, not just something you do on a small sample of traffic.”

Source: PRNewswire

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Bluehost launched its AI Builder, a purpose-built platform that lets small business owners create professional websites and working business applications simply by describing what they need, without requiring coding, technical expertise, or a large development budget.

Announced during Bluehost ELEVATE, the company’s inaugural small business growth summit, AI Builder brings website creation, business applications, hosting and human expertise together in one platform built for entrepreneurs.

The Bluehost AI Builder is purpose-built to help small businesses create the applications and tools they need to operate and grow from appointment booking systems and customer relationship management (CRM) to customer portals and internal operations dashboards. Combined with seamless hosting, domains and 24/7 human support, it brings creation and business operations together in one experience.

“For decades, the internet has helped small businesses get online. AI is creating a much bigger opportunity, helping them actually run and grow their businesses,” said Sachin Puri, Chief Executive Officer of Newfold Digital, parent company of Bluehost. “A business owner shouldn’t need a team of developers or a large budget to turn an idea into reality. With Bluehost AI Builder, they can go from an idea to a working website or application in minutes, with the hosting, business tools and human expertise to support them as they grow. Our ambition is simple: give every entrepreneur the tools and confidence to turn an idea into a thriving business.”

From an Idea to a Live Website or Application in Minute

Bluehost AI Builder simplifies the entire website and app creation process, allowing business owners to focus on their business rather than the technical work behind their online presence. Users can describe their vision in plain language, upload their own logos, photos and business documents, or share a link to a website they admire for design inspiration. The AI then asks a few clarifying questions, builds an initial version in minutes and allows users to watch as their website or application takes shape in real time.

Also Read: GitLab Unveils the Governed Software Factory to Secure Autonomous AI Pipelines

Once the initial build is complete, users can continue refining their experience through a simple chat interface, requesting updates, new pages, content changes, and additional functionality without navigating complicated editing tools or writing code. When ready, users can publish their creation to Bluehost hosting with one click, using a Bluehost subdomain or their own domain.

Key Features include:

• From prompt to published: Describe a website or app in plain language, including portfolios, blogs, booking sites and customer portals, then publish it to Bluehost hosting with one click.
• Built around your business: Upload logos, photos and business documents, then refine designs and content through simple conversation with a live preview.
• Business tools built in: Create booking systems, invoices, databases and member portals, complete with user accounts, so small businesses can run key processes directly within AI Builder.
• Ready to be discovered: Automatically generate search-friendly pages, titles, descriptions and image alt text, and buy, transfer or connect a domain without leaving the builder.
• Built to grow with you: Add websites, applications and team members as business needs evolve, all within one Bluehost account, backed by reliable hosting and 24/7 support.

Build with AI. Host without consuming AI credits.

Bluehost AI Builder offers a free starting point, allowing entrepreneurs to build and publish on a Bluehost subdomain without a credit card. Paid plans include a custom domain and hosting. AI credits are used for building and editing, not hosting so a published website can stay online even when building credits run out, subject to the plan’s hosting terms.

Real people behind the technology, 24/7

While AI makes building easier, small business owners still need support from people they can trust. AI Builder is backed by Bluehost’s 24/7 human support, giving customers access to real experts who can help with their websites, applications, domains, email and hosting, during the build and long after launch.

Source: PRNewswire

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Enterprise technology is moving beyond AI experimentation toward large-scale deployment, bringing new demands for specialist expertise, secure infrastructure and tighter governance. This week’s developments from EXL’s acquisition of Aimpoint Digital to new controls for AI agents and quantum-ready security show how companies are reshaping their technology strategies. At the same time, the growing use of autonomous browser agents is creating attack surfaces that traditional cybersecurity measures may not adequately address.

Three Developments Worth Watching

• EXL acquires Aimpoint Digital: The deal strengthens EXL’s ability to help enterprises move AI initiatives from experimentation into production.
• Citrix addresses agentic AI governance: New workspace and access controls recognize AI agents as a growing category of enterprise users requiring oversight.
• IonQ expands its security portfolio: The completed Elisity acquisition brings zero-trust capabilities into IonQ’s broader quantum security strategy.

Together, these moves point to a new enterprise priority: scaling AI requires not just more capable models, but the infrastructure, access controls and security architecture to manage them responsibly.

Technology News

EXL Acquires Aimpoint Digital to Expand AI Capabilities

EXL has acquired Aimpoint Digital, adding approximately 250 data and AI specialists to its capabilities across analytics, engineering and enterprise AI. The acquisition strengthens its ability to support clients through the full AI lifecycle, from strategy and development to deployment and managed operations.

The strategic value lies in addressing the persistent gap between successful AI pilots and production-scale adoption. Combining specialist talent with EXL’s global delivery infrastructure could help enterprises operationalize AI across complex workflows. It also intensifies competition among IT services providers to offer measurable business outcomes rather than isolated AI projects.

Governing the Non-Human Workforce: How Citrix’s Agentic Workspaces and Governance Framework Reshape Enterprise AI

Citrix is advancing agentic workspace capabilities through SecurSpaces and SecurAccess, designed to give AI agents controlled environments and governed access to enterprise resources. The approach includes isolated workspaces, credential management, access controls and session-level oversight.

As agents begin performing tasks across business applications, organizations face a new identity and governance challenge: software is no longer simply executing predefined scripts but acting with permissions that can expose sensitive systems. Citrix’s model reflects a shift toward treating agents as non-human workforce members, with security boundaries, accountability and lifecycle controls comparable to those applied to employees.

Lumen and Microsoft Expand AI Collaboration

Lumen and Microsoft have expanded their strategic collaboration to support enterprise AI infrastructure, combining Lumen’s network capabilities with Microsoft’s cloud ecosystem. The partnership includes expanded connectivity and go-to-market initiatives intended to help organizations move data more efficiently across AI environments.

As enterprises deploy retrieval-augmented generation and autonomous agents, network performance and reliable data access become central to AI effectiveness. The alliance highlights how AI competition extends beyond chips and models to the underlying connectivity that links distributed data, cloud platforms and applications. Network providers are increasingly becoming strategic participants in enterprise AI delivery.

CrowdStrike Integrates Lovable Workspaces With Falcon Shield

CrowdStrike and Lovable are collaborating to bring Lovable-created applications and workspaces into CrowdStrike’s Falcon Shield security environment. The integration is designed to help organizations discover applications, identify exposed secrets and credentials, and strengthen visibility and governance as more employees build software using AI-powered development tools.

The partnership addresses a growing blind spot in enterprise security: applications can now be created faster than traditional IT approval and review processes can keep pace with. Citizen development expands innovation, but also increases the risk of unmanaged software and exposed data. Security platforms will need to extend oversight closer to where applications are created, not simply where they are deployed.

IonQ Completes Elisity Acquisition to Unite Security Technologies

IonQ has completed its acquisition of Elisity, bringing the company’s identity-based zero-trust security capabilities into IonQ’s broader quantum security portfolio. The combination is intended to connect enterprise access controls with technologies such as post-quantum cryptography and quantum key distribution.

The deal signals IonQ’s ambition to build a broader security business around the anticipated transition to quantum-resistant systems. For enterprises, the challenge is not only preparing encryption for future quantum threats but also managing access across increasingly complex networks today. The opportunity will depend on how effectively IonQ integrates these capabilities into deployable, interoperable security offerings.

Featured Article

Prompt Injection: Why the Next Big Hack Will Arrive as an Ad

Ali Hayat explores how targeted advertising could become a delivery channel for prompt injection against AI browser agents. Drawing on Citizen Lab’s AdFection investigation, he explains how ad auctions can single out devices while malicious instructions hidden in page content could manipulate agents with access to sensitive accounts. The article argues that organizations must restrict agent permissions, monitor activity and treat advertising content as untrusted input.

ITDigest Weekly Observations

This week’s developments reveal two sides of enterprise AI expansion. Organizations are investing in the talent, networks and platforms needed to put AI into production, while security providers are racing to govern the agents and applications that accompany adoption. The emerging risk is that AI systems can inherit broad access while interacting with untrusted content—including advertising. As agentic technology spreads, will enterprises build security and governance into deployment from the outset, or continue treating them as controls to add after adoption?

The post ITDigest Weekly Roundup: Enterprise AI Scales Up as Security, Infrastructure and Governance Take Priority appeared first on ITDigest.

In her new role, Beasley will focus on marketing operations as Kai continues to develop its presence in the cybersecurity market. Marketing operations plays an important role in connecting marketing strategy with business execution through campaign management, data analysis, technology platforms, and performance measurement.

Beasley brings more than a decade of experience across marketing and sales functions. Her professional background includes work in marketing operations, campaign management, and sales development, providing experience in coordinating processes and supporting collaboration between marketing and revenue teams.

Her experience reflects the growing importance of operational capabilities within technology companies. As organizations expand their marketing activities across multiple channels, marketing operations teams are increasingly responsible for maintaining data quality, improving campaign processes, managing marketing technology systems, and measuring performance.

Also Read: Menlo Microsystems Appoints John B. Kennedy as Chief Financial Officer

Her appointment comes as Kai operates in the rapidly evolving cybersecurity sector. The company focuses on agentic AI-based cybersecurity, using autonomous systems to help security teams identify, assess, and address vulnerabilities and exposures across enterprise environments.

As cybersecurity companies compete in a market shaped by increasing digital threats and enterprise demand for AI-driven security solutions, marketing teams face the challenge of communicating complex technologies to different audiences, including security leaders and enterprise decision-makers.

Marketing operations can help address these demands by improving coordination between marketing, sales, and other business functions. It also provides the systems and processes needed to connect campaign activities with measurable business outcomes.

Beasley’s move highlights the growing role of marketing operations leadership in technology organizations, where data-driven execution, process alignment, and collaboration are becoming increasingly important to business growth.

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MediQuant, a leader in healthcare data archiving and data lifecycle management, is introducing the next generation of its DataArk® platform, expanding traditional archiving capabilities to help health systems better manage the cost, risk and complexity of data throughout its lifecycle.

The enhanced platform gives healthcare organizations greater visibility into what legacy data they retain, how old it is, how it is used and what it costs to maintain. That visibility helps IT, finance and compliance teams see how their data measures up against retention policies, so they can make more informed decisions about retention, storage and disposition.

Every health system already has retention policies. What many lack is a practical way to see how their data is managed against them. As organizations retire aging applications and modernize their technology environments, they must still preserve critical clinical, financial and operational data for regulatory compliance, audits and patient care. Without clear visibility into the data they hold, applying retention policies consistently across growing data environments gets harder, and storage costs, security risks and operational complexity keep mounting.

Also Read: BRI Wealth Management partners with Aveni’s Assist AI tool 

“Not all data is created equal, yet many organizations still store it as if it were,” said Jim Jacobs, President and CEO of MediQuant. “Health systems are under significant margin pressure while storage and software costs continue to rise. The question is no longer simply whether data can be retained, but whether it is being kept in the right place, at the right cost, for the right reasons.”

Moving Beyond the Archive
The next-generation platform brings together complementary capabilities to help healthcare organizations manage and leverage legacy data more strategically:

• Lifecycle visibility and retention policy alignment.  Health systems gain a clearer understanding of what legacy data they retain, how old it is, how it is used and what it costs, enabling them to evaluate that information against established retention policies. The enhanced platform supports this capability by providing IT, finance and compliance teams with a centralized view of applications and archived datasets.
• Secure, ongoing access to legacy data. Clinicians, health information management and revenue cycle teams can continue accessing archived clinical, financial and operational information without maintaining the legacy applications from which it originated. DataArk enables this by providing secure, ongoing access to archived data after source systems are retired.
• AI-Ready Data: Once legacy data has been rationalized, extracted and archived, it is also structured and indexed in a way that extends its usefulness well beyond compliance and audit response. This positions health systems to apply analytics, natural language processing and other AI-enabled tools to clinical, financial and operational records that would otherwise sit inaccessible in a retired system, turning stored data into an asset organizations can act on rather than simply retain.

Together, these capabilities support a more comprehensive approach to data lifecycle management, from application rationalization and decommissioning through data extraction, migration, and archiving, all the way to data that is structured and ready to support AI-enabled analytics and insight, governed by organizational policies and supported by audit trails.

“An archive shouldn’t be the end of the journey. It’s a stop along the way,” said Mike McGuire, Senior Vice President of Product Strategy at MediQuant. “Our goal is to help health systems make legacy data environments leaner because there’s less to store, safer because there’s less to secure, and more valuable because the information they retain is structured, accessible and ready to support the analytics and AI-enabled tools health systems are investing in now.

The launch builds on a broader industry shift toward data lifecycle management. During a September executive advisory session hosted by MediQuant and Becker’s Healthcare, health system technology leaders emphasized the need to move beyond traditional retention strategies and address more fundamental questions about what data should remain, where it should reside and when it can be responsibly removed.

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Linxa Connect brings together rating, pricing, routing, billing, and reporting, enabling ZOI to automate processes, optimize traffic routing based on cost and quality, and make faster commercial decisions. It will also provide automated rate management, traffic monitoring, financial reconciliation, and support for bilateral agreements. These capabilities will reduce manual processes, improve coordination between commercial and operational teams, and give ZOI greater visibility and control across its international wholesale business.

“As ZOI continues to expand its international wholesale business, we are investing in the technology, systems, and partnerships needed to operate efficiently at scale,” said Sohail Qadir, Chief Executive Officer of Zain Omantel International. “Our customers expect competitive services, consistent quality, and the ability to respond quickly as market conditions change. Working with Linxa will enable us to simplify how we operate, empower our teams to make better decisions, and deliver greater value to our customers and partners worldwide.”

Also Read: BRI Wealth Management partners with Aveni’s Assist AI tool

Linxa works with leading Tier 1 carriers, international wholesale operators, and telecommunications service providers worldwide. Its software and network solutions support the management of high-volume voice and messaging traffic, bringing together commercial, operational, and financial processes. With a global customer base and a presence across Europe, the Middle East, Africa, Asia, and the Americas, Linxa brings extensive experience supporting the complex requirements of international wholesale telecommunications.

“This agreement is a landmark moment for Linxa and a strong endorsement of our vision to be recognized as the partner of choice for voice and messaging operators and carriers worldwide,” said Simon Dodsworth, Chief Executive Officer, Linxa. “The Middle East is one of the most dynamic wholesale markets in the world, and ZOI sits at its heart. Our focus is on driving ZOI’s digital transformation, enhancing efficiency and delivering unmatched value for the long term.”

This partnership reflects Linxa’s mission to give wholesale telecoms providers high-performance, innovative and scalable software solutions that optimize their core business in an increasingly complex and competitive landscape.

“ZOI is one of the leading international wholesale telecommunications providers, with extensive voice and messaging operations that demand efficiency, flexibility, and consistent service quality,” said Kunal Dave, Chief Revenue Officer, Linxa. “We are proud to partner with ZOI and bring our experience supporting other leading Tier 1 carriers to this project. Together, we will build on ZOI’s existing strengths, improve operational performance, and create a stronger foundation for continued growth.”

ZOI’s Carrier and Mobility business connects operators, carriers, and mobile service providers across regional and international markets, supporting more than 10 billion international voice minutes and roaming services across 200 countries. Its portfolio includes bilateral and transit voice traffic, international toll-free services (ITFS), mobile number portability (MNP) lookup, messaging hubs and firewalls, international roaming, signaling hubs, and IPX/GRX exchange services.

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BRI Wealth Management, an independent wealth management firm, has achieved almost 100% active usage of Aveni Assist across its advice, paraplanning, and administration teams. By integrating Aveni’s AI technology – Assist – into its day-to-day workflows, BRI is reducing repetitive administrative tasks, giving its people more time to focus on clients and higher-value advice, while keeping planners and advisers firmly in control of every recommendation.

BRI began using Assist in 2025 and incorporated its additional report-writing capabilities in 2026, following an initial trial. The tool now supports the process from client meeting through to completed suitability report. Since its introduction, turnaround times for transactional work, including ISA top-ups and pension withdrawals, have fallen significantly, with report turnaround reduced by 75%.

Bradley Sheridan, Paraplanner Manager at BRI Wealth Management, said: “In paraplanning, we enjoy the financial planning and the analysis that goes into finding the right solution for a client. Assist has removed the bottleneck of repetitive work. We can turn reports around faster, and clients receive quicker service as a result.”

Also Read: Coalition Launches Enterprise AI Security Integrations

The time saved has enabled BRI’s paraplanning team to focus on higher-value work, including developing frameworks and research for the firm’s retirement planning approach, spending more time on portfolio management, and delivering the focussed, personal touches that reinforce BRI’s hands-on service.

BRI has also been clear internally about the role this technology plays. “As a firm, we’ve drawn a clear line: we use Aveni as a report writer, not a financial planning thinker,” Sheridan added. “We decide what we’re recommending and why. Aveni writes it up, and we review and personalise every piece before it goes to a client.”

BRI credits the smooth rollout partly to its trial preparation. With control over its Assist templates, the team tested the tool across simple and complex cases, refined outputs to reflect its own style and gave colleagues clear guidance ahead of wider adoption. As a result, paraplanning, advice and administration teams were able to adopt the technology quickly and with minimal disruption. While BRI continues to explore efficiencies, its focus remains on using technology to strengthen, not replace, client relationships.

“Our clients value knowing that the person looking after them is someone they know, and often someone they’ve worked with for years,” continued Sheridan. “Aveni helps us with the drafting, but the advice, the relationship and the care remain with us. For any firm considering it, my advice would be to be clear about which repetitive tasks you want to take away, and just as clear about what you want to keep in human hands.”

Ana Nedava, Chief Revenue Officer at Aveni, said: “BRI Wealth Management is a great example of how firms can adopt AI thoughtfully. By preparing carefully and bringing every team with them, they’ve achieved remarkable adoption, and they’ve done it while keeping their people and their clients at the centre. It’s particularly encouraging to see paraplanners gaining time to focus on the technical, high-value work they trained for.”

The post BRI Wealth Management partners with Aveni’s Assist AI tool appeared first on ITDigest.

“Over the past few years, enterprise AI has moved from ad-hoc experimentation to company-wide deployment. That shift, while introducing significant corporate efficiencies and innovation, has also created security blind spots: an entire layer of administrative and access activity sits outside traditional monitoring,” said Tim MalcomVetter, General Manager of Coalition Security and Co-founder of Wirespeed. “These new integrations help close that gap.”

Rather than treating AI platforms as isolated silos, Wirespeed ingests their administrative telemetry and correlates it with the rest of a business’s security stack. Wirespeed monitors high-impact changes to enterprise AI configurations that could expose sensitive data, suggest non-compliance, grant unauthorized access to the wrong users, or remove a spend limit. When potentially risky behavior or account takeover is detected, Wirespeed will investigate the alert and escalate it.

Also Read: Ontinue Extends Microsoft ISOC with 24/7 Managed Security Operations Through New MXDR Essentials Service

More specifically, Wirespeed’s Enterprise AI Security Integrations offer:

• Rapid Protection: Automated analysis of anomalous behavior from enterprise admin-level logs, guarding access to an organization’s most powerful systems even faster than the AI itself can think.
• Unified Security: Standardizes threat detection policies across AI tools in one platform that’s already protecting against network, SaaS, cloud, and endpoint threats.
• Immediate Control: Converts real-time behavioral anomalies into immediate network enforcement, isolating compromised systems before data can leave the perimeter.

With the addition of these Enterprise AI Security Integrations, Wirespeed now connects to more than 100 security and IT tools, spanning endpoint detection, identity providers, network and perimeter security, email security, cloud, SaaS, attack simulation, and ticketing and Professional Services Automation (PSA) platforms. By connecting all these different signals, Wirespeed gives security teams fuller context for investigations and can respond autonomously.

“Wirespeed layers onto the tools businesses already trust, allowing them to strengthen detection and response without replacing their stack. With all of these integrations, businesses can connect through APIs no downloads, no agents, no vendor lock-in, and no rip-and-replace  making using Wirespeed as easy as possible,” MalcomVetter continued.

The post Coalition Launches Enterprise AI Security Integrations appeared first on ITDigest.

As AI changes the speed and scale of cyber threats, security operations must change with it. Disconnected tools, data, and workflows create friction at exactly the moment defenders need greater context and faster action. A modern SOC needs an integrated foundation where people and AI agents can work from shared signals and context, connecting protection, investigation, and response in a more unified operating model.

Microsoft ISOC is creating a more integrated foundation for security operations, bringing SIEM capabilities, XDR, threat intelligence, automation and AI into a common experience. MXDR Essentials builds on that foundation with Ontinue’s Agentic AI, automation and 24/7 Cyber Defense Center, helping organizations move from integrated security technology to an always-on security operation.

Designed as an accessible starting point, MXDR Essentials provides continuous investigation and response across the  Microsoft Defender suite, for organizations that need  around-the-clock protection but do not yet require the broader visibility and advanced capabilities of a comprehensive MXDR service.

Also Read: NexusTek Expands Its Engineering Approach to Serve Mid-Market Organizations 

The launch closely aligns with Microsoft’s evolving vision for integrated security operations through Microsoft Integrated Security Operations Center (ISOC). Ontinue’s Product and Engineering teams worked directly with the Microsoft Product Group ahead of the ISOC announcement and remain engaged as the platform evolves.  Ontinue has also introduced a Microsoft ISOC Deployment Package to help organizations configure the telemetry, integrations, and automation required to establish an operational, AI-enabled security environment.

However, deployment is only the first step, as organizations still need to operate it around the clock, investigate threats, make informed decisions and take accountable action when incidents occur. MXDR Essentials brings the managed operations layer to that environment, giving organizations continuous coverage across core Microsoft Defender signals while providing a clear path to more comprehensive MXDR capabilities as their security requirements mature.

“Microsoft ISOC represents an important shift in the foundation for modern security operations,” said Moritz Mann, CEO of Ontinue. “Our opportunity is to build on that foundation and bring together Microsoft’s integrated security platform with the Agentic AI, automation and human expertise needed to operate security around the clock. With MXDR Essentials, we’re making that operating model accessible to more organizations, while giving them a foundation that can evolve as their security needs become more sophisticated.”

Key capabilities include:

• 24/7 Managed Microsoft Defender Operations: Continuous investigation and response across endpoints, servers, email and identities using Microsoft Defender security controls already deployed in the customer environment.

• Machine-Speed Investigation and Response: The ION SecOps Platform automates triage, enrichment, investigation and containment actions, helping reduce the time between detection and response.

• 24/7 Human Expertise: Ontinue Cyber Defenders lead incidents requiring deeper investigation, expert judgment or customer involvement, ensuring critical security decisions remain accountable to human experts.

• Customer-Controlled Response: Rules of Engagement give customers control over how incidents are handled, defining which actions Ontinue can take immediately, when approval is required, who is involved and how incidents are escalated.

• Integrated Microsoft Teams Collaboration: Customers work directly with Ontinue through Microsoft Teams, keeping incident collaboration within a familiar workflow rather than introducing another disconnected tool.

• Continuous Security Posture Improvement: Operational findings are converted into prioritized Security Posture Improvement recommendations, helping customers focus defensive improvements on issues observed in their own environment.

A Focused Starting Point with a Path to Comprehensive MXDR

MXDR Essentials was built for organizations that need continuous operations across their core Microsoft Defender environment but are not yet ready for, or do not require, the broader telemetry coverage and advanced capabilities of a comprehensive MXDR service.

This distinction gives organizations the ability to choose the level of security operations that fits their requirements today. MXDR Essentials focuses on operationalizing Microsoft Defender with continuous investigation and response. For organizations requiring broader telemetry coverage, Microsoft Sentinel management, tailored detections, proactive threat hunting or designated advisory support, Ontinue MXDR Core provides the more comprehensive security operations model.

Both services are powered by the ION SecOps Platform and Ontinue’s 24/7 Cyber Defense Center. This shared foundation enables organizations to expand their coverage and capabilities as their needs evolve, without changing security operations partners or adopting an entirely new operating model.

“Security operations shouldn’t be an all-or-nothing decision,” said Moritz Mann. “The important thing is having the right operating model for where an organization is today, while giving it room to evolve. MXDR Essentials gives organizations a practical way to establish 24/7 security operations around their Microsoft Defender investment, with a path to broader capabilities when they need them.”

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