This week, the company unveiled the ConnectWise Platform, a new environment that pulls together PSA, RMM, cybersecurity, automation, orchestration, agentic AI, and third-party integrations. 

ConnectWise introduces its Predictive IT platform

The launch sits within a larger Predictive IT initiative, with the goal of spending less time chasing tickets and routine operational work and more time preventing issues before they become service requests.

Now, on the surface, this looks like another vendor talking about AI. And another platform. Underneath, though, there’s a much bigger product story here.

Anyone who’s followed ConnectWise over the past few years has heard plenty about Asio. It was a major focus for the company, serving as the cloud platform meant to unify its growing portfolio of products. 

Now ConnectWise is flipping the script a bit. The new platform comes from a multi-year effort to rebuild the underlying architecture itself, with AI, automation, and orchestration built into the core rather than added later.

Why the platform rebuild matters for MSPs

ConnectWise CEO Manny Rivelo framed the launch as a fundamental change in how managed services software operates.

“Managed services is entering a completely new era,” Rivelo said. “For decades, MSPs and IT teams have been forced to scale through labor-intensive operations and disconnected systems. ConnectWise is fundamentally changing that operating model. We are building the first purpose-built MSP System of Action integrating PSA, RMM, workflow orchestration, security, automation, native agentic AI, and an open ecosystem into one intelligent platform designed to help MSPs move from reactive support to Predictive Intelligence.”

ConnectWise positions the platform as a system of action

ConnectWise keeps returning to the phrase “System of Action,” its way of describing a platform that does more than collect information and maintain records. 

The idea is to have workflows, automation, security, remediation, and AI working together in the same environment, so the platform can help drive operational work rather than simply documenting it.

According to ConnectWise, the platform brings together service operations, endpoint management, cybersecurity, workflow automation, operational intelligence, and third-party integrations into a single, simple layer. 

AI automation targets ticket volume and repeat issues

ConnectWise isn’t claiming fully autonomous IT is right around the corner – the company’s short-term focus is on helping customers get more juice out of AI through copilots, automation, orchestration, and workflow intelligence.

To back this up, ConnectWise released benchmark modelling based on a representative MSP with roughly $3 million in annual managed services revenue. 

According to the research, AI-driven automation could cut ticket handling time by 45%, reduce ticket volume by 30% to 40%, and resolve 80% to 90% of recurring issues.

The numbers come from ConnectWise’s own modeling, not independent analysis, but they reflect where a good chunk of the market is headed right now: less manual ticket work, more automation handling routine tasks, and fewer recurring problems landing back on the service desk.

A foundation foray

What’s interesting here is that ConnectWise spent almost as much time talking about the foundation as it did the AI itself.

Plenty of vendors have rolled out copilots, assistants, and automation features over the past couple of years. 

ConnectWise’s argument is that those capabilities only get you so far if they’re built on disconnected systems. That’s a big reason the company chose to rebuild the platform rather than keep layering new functionality onto the old one.

“MSPs don’t need more disconnected tools,” said David Raissipour, chief product and technology officer, ConnectWise. “They need an intelligent operational layer capable of coordinating action, automating execution, and continuously improving operations across their entire business. That is the foundation for Predictive IT, and the future ConnectWise is building.”

General availability for the ConnectWise Platform is scheduled for the end of June.

As organizations push deeper into automation and AI, the underlying systems are getting a lot more attention. BitTitan recently identified identity infrastructure as a major stumbling block in Microsoft 365 migrations, arguing that years of accumulated complexity can cause problems if the foundation isn’t cleaned up first.

The post ConnectWise Platform Brings Predictive IT to MSPs appeared first on Channel Insider.

Partner programs across the IT channel are undergoing a major transformation as AI adoption accelerates and vendors rethink how they engage with MSPs and solution providers.

In this Channel Insider Partner POV discussion, Victoria Durgin and Jordan Smith explore how traditional vendor programs are evolving, why collaboration and ecosystem strategies are becoming more important, and what the rise of AI leaders like OpenAI and Anthropic means for channel partners.

The post How AI Is Changing IT Channel Partner Programs appeared first on Channel Insider.

Kaseya unifies its partner marketing and peer groups

This unification is meant to help MSPs grow more efficiently and competitively. MSP Success combines marketing enablement, peer collaboration, and community engagement into a cohesive experience focused on driving measurable business outcomes.

It will be led by Dan Tomaszewski, EVP of channel, and will include leaders such as Greg Jones, SVP of MSP Success EMEA, and Mike Stodola, VP of marketing enablement strategy.

“MSP Success Digital Marketing brings together the strategies, tools, and support we know work because we’ve lived it ourselves,” Tomaszewski said. 

“While MSPs excel at technology, many struggle with marketing in a challenging landscape. That’s why we’ve built a team of experienced practitioners, along with the right tools and processes, to help MSPs grow and succeed.”

MSP-focused marketing solutions

MSP Success Digital Marketing is the foundation of the initiative. It is a new platform to help MSPs accelerate pipeline growth and strengthen their market presence.

MSP Success includes conversion-focused websites, search engine and answer engine optimization (SEO/AEO), local search optimization, content marketing, email and social media campaign tools, reputation management, analytics and reporting, lead capture and appointment booking capabilities, and access to a dedicated Marketing Success Specialist.

Additionally, the program features two solutions: Express and Pro. Express helps MSPs establish a strong digital presence, increase visibility in both traditional and AI-powered search results, and generate a consistent flow of qualified leads.

Pro, meanwhile, expands that foundation with advanced marketing automation, conversion tools, and strategic support to help MSPs accelerate growth and convert more opportunities into clients.

TruMethods Peer and TMT fold into larger program

Kaseya has also brought its MSP peer programs, TruMethods Peer and Technology Marketing Toolkit, under the MSP Success Peer umbrella.

Members can gain a broader perspective, foster deeper collaboration, and access a more powerful network to solve real-world challenges by combining the strengths of these programs.

MSPs can join one of the two peer programs depending on their size and scale.

Jay Dixon has been tapped as Director of MSP Success Peer Education to support the growth of MSP Success Peer.

“Building strong leadership starts with people who have lived it,” said Tomaszewski. “Jay spent four years in our Peer program as a captain, exited his business, and is now coming back to help others do the same. His experience reinforces our approach to investing in leaders who understand what success looks like. We’re excited to have Jay joining us, with more additions to come.”

Peer meetings will occur in person in North America, EMEA, and APAC quarterly, while online meetings in between will help build community and establish accountability.

“The real value of an MSP peer group is knowing you don’t have to solve every challenge alone,” said Kari Renn, CEO, LoyallTY, Inc. “As a member of both Technology Marketing Toolkit and TruMethods Peer, I went from break-even to highly profitable in just two years. Bringing these two communities together creates an unmatched network of shared insight and accountability that will help MSPs scale faster, avoid common pitfalls, and hit their revenue goal with confidence.”

MSP Success website

Lastly, Kaseya has relaunched MSPsuccess.com as a centralized learning hub to help MSPs grow, scale, and improve profitability through guidance and resources from the new unified team.

Kaseya acquired Technology Marketing Toolkit and its related properties from founder Robin Robins in 2025.

The post Kaseya Unveils MSP Success Ecosystem for Efficient Growth appeared first on Channel Insider.

The Cloud and AI Development Act seeks to foster the growth of AI models and apps, as well as the buildout of supporting infrastructure, with a specific goal of tripling European data centre capacity within the next five to seven years.

In addition, the Chips Act 2.0 has the goal of expanding the EU’s capacity in AI-ready semiconductor technologies, including provisions to accelerate the awarding of permits, advance cooperation between public and private partners, support investment in strategic projects, and diversify supply-chains.

Combined with strategies for fostering open source solutions, on the one hand, and digitalizing Europe’s energy system, on the other, these two acts could reduce the EU’s structural dependencies on non-European providers, according to commentators.

‘An important step towards establishing a top-level global semiconductor ecosystem in Europe’

While the proposals of the Chips Act 2.0 and the Cloud and AI Development Act may change as each bill works its way through the legislative process, the industry response to the new package has, on the whole, been positive.

“The European Chips Act is an important step towards establishing a top-level global semiconductor ecosystem in Europe and increasing resilience,” says Andre Tauber, the Head of Strategy and Business Communications at German semiconductor manufacturer Infineon Technologies.

Speaking to TechRepublic, Tauber says that revising the original Chips Act is “crucial” to boosting the European semiconductor industry’s resilience, and that a more targeted and less bureaucratic framework can stimulate the development of next-generation chip technologies and attract more investment.

Some of the Chips Act 2.0’s more notable measures include provisions to support the deployment of strategic projects that would boost semiconductor R&D and manufacturing, as well as articles to establish a “Business-to-Business Semiconductor Supply Chain Platform.”

For many commentators, one of its chief virtues is that it focuses more on demand-side (rather than supply-side) policy, something lauded by ASML CEO Christophe Fouquet in a LinkedIn post.

“It’s a positive development that in the Tech sovereignty package the European Commission recognizes the fundamental role that a demand-driven policy — rather than more supply-driven aspects — can play to strengthen the entire European technology ecosystem, and create an overall favorable business environment for the high-tech industry in the EU,” he wrote. “Commitment to that demand-driven approach is in our view essential to a successful outcome and deserves further consideration in the proposals.”

Why the Chips Act 2.0 may result in more strategic partnerships on semiconductors

For Tauber, another positive detail is that the Chips Act 2.0 takes a comprehensive approach across the full value chain, from R&D to manufacturing and applications, while also focusing on the aforementioned demand-side instruments and lab-to-fabrication scaling. 

However, he cautions that the Tech Sovereignty Package’s effectiveness will depend on its implementation in practice, and not simply on how it reads.

“In particular, speed and predictability of support processes, clarity in state aid procedures and a lean administrative framework will be important going forward,” he says, before offering a reminder that the package is still subject to an ongoing legislative review.

One of the more interesting elements of the Chips Act 2.0 is that it includes numerous articles requiring public tenders to be awarded to “at least one domestic undertaking,” with ‘domestic undertaking’ defined as an undertaking “owned and controlled” by an EU-based organization.

This may create issues in view of foreign investments in European companies and infrastructure, such as SoftBank’s recent commitment to spend up to €75bn on creating 5 GW of AI-ready compute capacity in France. 

However, the Chips Act 2.0 also broadens the definition of ‘domestic undertaking’ to include any entity based in a territory that has signed a strategic partnership (on semiconductors) with the EU, as Japan signed at the beginning of May.

This article originally appeared on TechRepublic, our sister site.

The post EU Unveils Tech Sovereignty Package and Chips Act 2.0 appeared first on Channel Insider.

In an interview with Channel Insider, Smurthwaite-Murphy said AI adoption remains “all over the map” as companies experiment with cloud-based models, emerging open-source tools, and new hardware approaches. 

But she argued that the market is moving toward hybrid AI environments, where some workloads remain in the cloud while others run locally.

“By next year, most organizations will have a hybrid AI model simply because they’re going to have to,” Smurthwaite-Murphy said.

Local AI could lower the barrier for channel partners

For MSPs and resellers still trying to define an AI practice, Smurthwaite-Murphy said local AI may offer a more approachable entry point than large-scale cloud AI implementations.

“With local AI, you can spin up a proof of concept much faster and easier than you could on a cloud,” she said.

For partners, the broader message is clear: AI cannot remain a vague talking point. It needs to become part of a defined services strategy.

“If you’re a channel partner and you don’t have some strategy there, I would argue that your days are numbered,” Smurthwaite-Murphy said. “It’s like the Industrial Revolution. It’s everywhere.”

For more information on how MSPs are building AI services at scale, check out our latest interviews and analysis.

Specialization may matter more than scale

Smurthwaite-Murphy said smaller partners should not assume AI is only a hyperscaler or large integrator opportunity. Instead, she said the channel should focus on building deeper vertical knowledge and practical use cases for clients with specific needs.

Smurthwaite-Murphy said the opportunity is especially relevant for partners already advising customers on compliance, data management, and vertical-specific workflows. 

Those conversations can serve as a bridge to AI consulting, particularly as customers weigh which workloads should remain local and which can move to the cloud.

“If they’re already working compliance and they’re already working with the data, this is a natural extension,” she said.

For larger MSPs and solution providers, she said the market will likely require both cloud and local AI capabilities. For smaller partners, the opening may come through specialization.

“For partners that have specialization, this is a really great opportunity for them,” she said.

How Plugable is addressing partner opportunities with open-source technology

Plugable develops docking stations, connectivity peripherals, and infrastructure solutions designed to support hybrid and multi-vendor IT environments. 

The company is extending that approach into AI with local AI hardware offerings that enable organizations and channel partners to deploy AI workloads on-premises rather than relying exclusively on cloud-based models.

“People don’t want to lock into a solution right now. They don’t know where it’s going. Things are changing so quickly,” Smurthwaite-Murphy said. 

“It was very natural for us to take, again, an agnostic, universal approach with our local AI solution that works with what you have and it’s flexible and modular.”

To Smurthwaite-Murphy, the near-term opportunity for partners lies in establishing deeper relationships with customers not just around AI itself, but also across related conversations about data, infrastructure, and device needs. 

Dell is also investing heavily in enabling its channel partners to deliver AI outcomes at scale. Catch up on Jordan Smith’s reporting from Dell Technologies World 2026 to learn more about the tech giant’s approach to local AI, partner incentives, and more.

The post Plugable CEO: Local AI Creates MSP Opportunity appeared first on Channel Insider.

Rubrik Agent Cloud for Anthropic’s Claude Code and Claude Cowork will enable organizations to deploy Claude-powered agents at scale with observability, control, and agent rewind.

Rubrik’s new cross-platform Rubrik AI automates and accelerates response and recovery to cyber incidents, with native integration into the Rubrik Security Cloud (RSC) and Rubrik Agent Cloud (RAC) product suites.

Project Hourglass targets GSIs bringing Claude to the enterprise

Rubrik has launched an alliance with Global Systems Integrators (GSIs) in the form of Project Hourglass – a means to deliver Rubrik Agent Cloud for Anthropic’s Claude Code to their enterprise clients.

Cognizant, Deloitte, LTM, HCLTech, NTT Data, and Wipro are among the GSI leaders integrating RAC into their cybersecurity and digital transformation architectures.

“As global enterprises accelerate their adoption of Claude Code, integrators are fielding the question from CISOs and engineering leaders: how do we let AI agents write and deploy code without introducing catastrophic new risk?” said Alok Agrawal, Chief Solutions Officer at Rubrik. 

“Rubrik Agentic Cloud for Claude Code answers that question with three integrated layers: Runtime Agent Security for behavioral guardrails and blast-radius control, Agent Rewind for fast repository recovery, and AI Context Guard for prompt integrity and control plane protection.”

Rubrik Agent Cloud for Claude Code and Claude Cowork

This latest solution delivers an essential enterprise control layer for organizations deploying Claude.

Organizations can now deploy Claude-powered agents at scale with observability, control, and the agent rewind to reverse unintended actions, along with an immutable codebase recovery when a destructive action outruns version control.

Now, resilience for Claude agents backs up, monitors, and restores the configuration that governs agent behaviors.

The solution has the following capabilities:

• SAGE: An AI governance engine designed to secure and control autonomous agents in real time. SAGE provides intent-driven governance to safely scale the enterprise AI workforce, replacing static, manual oversight.
• Agent Inventory: Delivers 360-degree visibility into risk, access permissions, and policy violations across all deployed agents.
• Agent Rewind: Instantly and precisely reverse unintended actions from any agent, from custom agents to agents developed in popular agentic tools like Claude Code and Claude Cowork.
• Codebase Resilience: Enhanced rewind for code & developer pipelines maintains continuous, immutable snapshots of GitHub and Azure DevOps repositories, stored outside the repo and beyond the reach of compromised credentials. RAC restores a known-good state with one-click repository or org-level recovery when an agent or an attacker exploiting one takes a destructive action that version control cannot undo, including ransomware rollback for code.
• Resilience for Claude Agents: Backs up, version-tracks, and restores the configuration that governs how Claude agents behave (system prompts, tool permissions, skills, and key files such as CLAUDE.md and settings) across organization, repository, and user levels. Rubrik continuously monitors for configuration drift and flags changes that appear malicious or unauthorized before they propagate.

Rubrik AI

This solution was designed to reason, act, and recover at machine speed. Rubrik AI adapts to each organization’s context and security threats and autonomously acts at machine speed across Rubrik’s product portfolio.

Further, this new solution enables a fully agent-first way to interact with Rubrik’s solution suites.

Among the capabilities are:

• Agentic Mode: Native integration that requires no new software for customers to learn, providing continuous reasoning across their data environments.
• Agentic Guardrails: Built-in controls to ensure every autonomous action is auditable, attributable, and reversible, preventing runaway AI risks.
• Orchestrated Workflows: Scheduled, multi-step recovery processes enabled in seconds, with tasks that previously took weeks for human teams to coordinate.

Autonomous Business Recovery Solution for Cloud Applications

ABR for Cloud Applications discovers applications and their dependencies, validates clean points, and pre-builds recovery plans so that recovery is in motion already when an attack hits.

Built on Rubrik’s Preemptive Recovery Engine, the solution automatically discovers the full application stack, provides immutable protection, and orchestrates a sequenced rebuild from a pre-validated clean point.

The solution restores an organization’s MVB in full during a cyber incident, including access to their compute, data, networking, Identity and Access Management (IAM), and configurations.

ABR for Cloud Applications features the following capabilities:

• Map your Stack Automatically: ABR for Cloud Applications provides a graphical dependency map and maintains a continuously updated inventory of every resource in your stack. Teams will always have an accurate, up-to-date picture of what they’re working with, even as environments drift and new resources are added.
• Protect Everything in One Place: Allows teams to define and apply backup policies across the entire application stack in a single, unified interface, covering both infrastructure and data. Every resource remains covered by consistent policies, with no gaps surfacing during an incident.
• Automatic Recovery: Restoration is orchestrated in the correct order, from a clean point validated by Rubrik’s Preemptive Recovery Engine. Network layers recover first, followed by compute, and then data, without the need for manual scripting or intervention.

According to research by Gartner, 35 percent of organizations will use Cloud Application Infrastructure Recovery (CAIRS) solutions to complement infrastructure-as-code (IaC) disaster-recovery orchestration by 2030 – up from less than 5 percent in 2026.

Identity Roll Forward and Identity Continuity

Rubrik has introduced two new Identity Resilience capabilities to expand its product suite.

Among those capabilities is Identity Continuity, powered by the acquisition of Strata.io, which enables organizations to secure, modernize, and manage human and agent identities without disrupting existing infrastructure.

Additionally, Identity Roll Forward will allow organizations to reconstruct Active Directory by using Rubrik Intelligence and third-party signals to identify, isolate, and reverse unauthorized changes while keeping legitimate modifications intact.

Rubrik Annapurna

The next stage of Rubrik Annapurna has been introduced by Rubrik, establishing the AI-ready unstructured data layer for enterprise Data Intelligence platforms of choice.

Annapurna works by scanning and cataloging unstructured data in place across distributed systems, publishing a queryable catalog into a lakehouse, and eliminating the data duplication and Extract, Transform, Load (ETL) overhead.

“For years, the model to make unstructured data usable for AI meant to move, transform, and store it twice, while paying for the whole estate just to use a fraction,” said Anneka Gupta, Chief Product Officer, Rubrik. 

“Annapurna completely inverts that model. It activates data right where it lives, delivers only what Data Intelligence platforms actually need and aligns infrastructure costs to consumption. That is how enterprises truly scale AI.”

The post Rubrik Brings Claude-Focused Tooling, Partner Program to Market appeared first on Channel Insider.

The company says its new AR Agents automate the entire invoice-to-cash lifecycle, bringing autonomous AI capabilities to an area of MSP operations that has largely been overlooked amid industry discussions around AI-powered service delivery.

Looking beyond AI for service desks

Much of the MSP industry’s AI investment has centered on service desks, ticket triage, and operational efficiency for technical teams. 

Lopez told Channel Insider that while those use cases are important, MSP owners spend significant time managing business processes they neither enjoy nor consider core to their expertise.

“The majority of MSP owners are very technical,” Lopez told Channel Insider ahead of the launch. “The service delivery side of things, the tools and the AI that’s focused on ticket triage, that’s exciting to them. That’s the core of what they want to be doing.”

By contrast, billing, invoicing, payments, and collections are essential business functions that many MSP leaders would prefer to spend less time managing.

“An MSP owner might be really, really good at billing and invoicing,” Lopez said. “I can promise you very few actually enjoy it.”

According to FlexPoint, its AR Agents can accelerate payments by up to five times while saving MSPs more than 20 hours per month through automation.

Context-aware collections and voice AI

Unlike traditional rules-based collections software, FlexPoint’s agents continuously monitor accounts and adapt outreach based on customer history and payment behavior.

Lopez described the system as having a virtual employee who constantly reviews accounts, identifies payment issues, and determines the best communication strategy.

The platform can also deploy voice AI agents to place payment reminder calls, answer invoice-related questions, and identify customer sentiment during conversations.

Those agents can determine when an issue requires human intervention, such as a request for a payment plan or a customer who prefers speaking directly with a person.

“One of the things that we’re very much focused on is that there’s always going to be a human in the loop,” Lopez said.

First step toward autonomous MSP operations

FlexPoint views the AR Agents launch as the first phase of a broader effort to automate MSP back-office functions through AI.

He recalled one MSP owner telling him that eliminating manual collections work could mean spending less time reviewing spreadsheets on Friday afternoons and more time with family.

“Our goal is to free up the owner,” Lopez said. “If we’re successful and we’re able to accomplish what we’re setting out to do, you’re going to have a lot of MSP operators who suddenly have the resources and time to focus on the things that they enjoy doing and are also good at.”

The AR Agents are available immediately, with additional back-office AI agents planned throughout the year.

The post FlexPoint Intros AI Agents to Automate MSP Invoicing appeared first on Channel Insider.

The ChatGPT maker confirmed the filing on June 8 but did not provide a timeline for a public offering. Confidential filings allow companies to begin the IPO process and work with regulators before publicly disclosing detailed financial information.

OpenAI enters a high-stakes AI IPO race

The filing is significant not only because of OpenAI’s size, but because it could help define investor appetite for the next generation of AI companies.

OpenAI was most recently valued at approximately $852 billion during a March funding round, placing it among the world’s most valuable private companies. An eventual public debut could rank among the largest technology IPOs ever and potentially become the first pure-play AI company to approach a $1 trillion public-market valuation.

The move also comes as rival Anthropic pursues its own IPO plans, creating a closely watched contest among AI leaders seeking access to public-market capital. 

Bloomberg reported that OpenAI, Anthropic, and SpaceX are poised to test whether Wall Street is willing to support a new class of mega-cap AI companies despite the enormous infrastructure investments required to train and operate frontier AI models.

For investors, OpenAI’s eventual prospectus could provide one of the first detailed views into the economics of large-scale generative AI. 

Public-market scrutiny is expected to focus on revenue growth, infrastructure spending, profitability timelines, and whether enterprise AI demand can support the industry’s massive capital requirements.

IPO plans arrive as OpenAI deepens partner engagement

For channel partners, the filing signals a new phase of maturity for OpenAI, which has spent the past year expanding its enterprise go-to-market strategy and formalizing relationships with solution providers, systems integrators, and managed service providers.

The company appointed Colleen Kapase as head of global partnerships earlier this year as part of a broader effort to scale partner-led customer engagement. 

OpenAI has increasingly emphasized working through ecosystem partners to drive adoption of ChatGPT Enterprise, API-based AI applications, and emerging agentic AI offerings.

What an OpenAI IPO could mean for MSPs and solution providers

An eventual public offering could provide OpenAI with additional capital to fund infrastructure expansion, product development, and enterprise sales investments as demand for AI services continues to accelerate.

For MSPs and solution providers, a public-market OpenAI could also bring greater visibility into the company’s financial performance, growth strategy, and enterprise priorities. 

Public-company scrutiny often pushes vendors toward more predictable partner programs, clearer product roadmaps, and expanded ecosystem investments.

However, Channel Insider previously noted that partners should not expect an IPO to fundamentally alter OpenAI’s channel strategy overnight. 

Instead, the filing reinforces a broader trend already underway: OpenAI is evolving from a high-growth AI startup into a long-term enterprise platform provider that increasingly depends on partners to deliver implementation, governance, security, and business transformation services.

Whether OpenAI reaches the public markets this year or later, the confidential filing underscores both the scale of investor interest in AI and the growing importance of channel partners in helping leading AI vendors turn technological innovation into enterprise adoption.

The post OpenAI Filing Signals Next Phase of AI Growth appeared first on Channel Insider.

XTM One automates CTEM handoffs

According to Filigran, XTM One was built to address the bottleneck of security teams having to manually move between their tools, particularly when ingesting threat intelligence on one platform, building attack scenarios on another, and tracking remediation on yet another.

In response, Filigran says XTM One automates those handoffs by coordinating AI agents across the lifecycle, creating a continuous path from raw threat intelligence to validated defensive action. 

The platform also introduces a dedicated AI orchestration layer that connects OpenCTI and OpenAEV into a single, continuous workflow. 

“The volume of CVEs, threat actors, and attack campaigns has reached a scale no human team can process manually,” said Julien Richard, co-founder of Filigran. 

“XTM One is not AI as a feature. It is AI as the operating system for threat management. Security teams deserve automation that works the way they work,” Richard added.

Filigran connects OpenCTI and OpenAEV workflows

The XTM Platform already includes AI-powered automation across OpenCTI and OpenAEV. 

XTM One takes a fundamentally different approach: it serves as a dedicated orchestration layer where agents coordinate across products, rather than simply assisting within them.

XTM One introduces a coordinated system of prepackaged AI agents that automate time-intensive security workflows, including: 

● Intelligence ingestion and enrichment 

● Threat summarization and reporting 

● Attack scenario generation and validation 

● Remediation guidance and dashboard creation 

These agents interact to create a continuous CTEM loop, enabling security teams to move from raw intelligence to validated defensive action. Teams can identify the threats that matter most, test their exploitability, and validate their defenses from a single interface. 

Custom agents and BYO-LLM support expand deployment options

In its official press release, Filigran highlighted that the new platform gives organizations “full control” over how AI operates within their security environments. 

The company said security teams can build and deploy custom agents, workflows, and integrations while supporting Bring Your Own LLM (BYO-LLM), allowing organizations to use either Filigran-provided models or their own.

“The biggest barrier to threat intelligence adoption has always been complexity,” said Jean-Philippe Salles, VP of Product Management at Filigran. 

“XTM One makes advanced threat management accessible to more teams through natural language interaction. Junior analysts can become productive faster, while experienced practitioners gain automation that removes repetitive work.” 

The platform also supports on-premises deployment, which Filigran says is particularly beneficial for highly regulated organizations and government agencies that need to keep sensitive data within their own infrastructure.

Availability includes enterprise, premium, and open-source options

According to Filigran, XTM One will be generally available in June 2026 and offered through three access tiers.

The company said existing Enterprise Edition customers of OpenCTI or OpenAEV will receive a built-in set of pre-packaged AI agents, a usage quota, and BYOLLM support at no additional cost. 

Meanwhile, organizations seeking more advanced capabilities, such as custom agent creation, workflow orchestration, MCP integrations, and access to premium AI models, can purchase XTM One as a separate offering.

Filigran also announced a standalone, free, open-source MCP server designed to help organizations integrate Filigran products into their own AI architectures, regardless of licensing tier.

As vendors accelerate their AI initiatives, many are shuffling their leadership teams to support growth and innovation. Read our recap of May’s channel executive moves, from AI-focused appointments to new channel chiefs and board members.

The post Filigran Debuts XTM One to Automate Threat Exposure Management appeared first on Channel Insider.

The Austin, Texas-based software supply chain security specialist announced the rollout of its new Discovery Partner Program today. 

NetRise bets on the channel to scale software risk management

The initiative is a deliberate shift toward a partner-first business model, aiming to push NetRise’s platform into the mainstream market through a vast network of value-added resellers (VARs), managed security services providers (MSSPs), distributors, consultants, and tech alliances.

The move comes as organizations face increasing pressure to identify and manage risks hidden within software components, firmware, operating systems, applications, and other technology assets.

“Supply chain attacks continue to escalate, and there’s never been a greater need to understand the reach of software supply chain compromises, combined with the ability to identify exposure in your software asset inventory quickly,” said Robbie Robbins, VP of Partnerships at NetRise. 

“The Discovery Partner Program reinforces our commitment to a partner-first model while helping organizations reduce software supply chain risk at scale,” Robbins added.

Three-pronged growth strategy

According to NetRise, the Discovery Partner Program is built around three primary areas of focus.

The first centers on expanding channel and distribution relationships through resellers, MSSPs, and distributors. 

The second focuses on technology partnerships that integrate complementary cybersecurity solutions and create new business opportunities. 

The third targets federal agencies and highly regulated industries through consulting and strategic advisory relationships.

The company says the program is intended to help partners bring software supply chain security capabilities to customers while offering implementation and advisory services around those technologies.

Partner tiers introduced

To incentivize its new army of sellers, NetRise is dividing the ecosystem into two distinct operational tiers based on commitment and capability.

The first tier, Accelerator Partners, consists of specialists who actively invest in technical training and demonstrate steady sales traction. 

The upper echelon is reserved for Vanguard Partners, top-tier organizations that blow past revenue targets, possess highly advanced technical chops, and serve as prominent market advocates for NetRise’s technology portfolio.

“Organizations need more than tools. They need strategic and implementation support from those who understand how to operationalize software supply chain security,” said Thomas Pace, co-founder and CEO of NetRise.

Pace said the program combines the company’s NetRise Platform and NetRise Provenance offerings with partner expertise to help customers assess, prioritize, and reduce software-related risk.

NetRise is opening the floodgates for partners to wrap their own professional services around the platform. This includes high-margin offerings like third-party risk reporting, device assessments, threat hunting, penetration testing, and product security as a service.

The post NetRise Builds New Partner Program for MSSPs, VARs, More appeared first on Channel Insider.