Today’s headline news for Canadian IT solution providers:
- OpenText stakes out its role as the trusted data foundation for enterprise AI: OpenText CEO Ayman Antoun used his keynote at OpenText World 2026 in Orlando on Tuesday to outline a strategy centred on providing the secure, governed enterprise information needed to make artificial intelligence useful in production environments.Rather than attempting to own every layer of the emerging AI technology stack, OpenText is positioning itself as a provider of the trusted data and context connecting enterprise information to AI applications and agents.Antoun argued that the limitations of enterprise data are becoming a major obstacle to AI adoption, suggesting that only about 20 percent of enterprise information is currently usable in agentic AI workflows.His broader argument is that AI models and agents cannot consistently deliver reliable business outcomes without accurate information, appropriate context and strong governance over how that information is accessed and used.
OpenText sees an opportunity to provide that foundation across its existing portfolio of information management, business network, IT operations and cybersecurity technologies.
The approach also relies on partnerships with companies providing complementary capabilities, including AI models, orchestration platforms and infrastructure.
OpenText’s previously announced partnership with Canadian AI company Cohere illustrates that division of responsibilities: OpenText supplies the enterprise data and context layer, while Cohere provides models and orchestration through its North platform.
For solution providers, the strategy could create opportunities around preparing enterprise data for AI, integrating business systems, implementing governance controls and helping customers move AI projects from experimentation into production.
However, the keynote left questions about how those opportunities will extend across OpenText’s different partner communities, particularly its existing managed services business.
ChannelBuzz.ca is covering OpenText World in Orlando this week, including interviews with OpenText executives and partners examining how the strategy translates into channel opportunities.
- ThreatLocker launches Zero Trust AI Control for AI agents: ThreatLocker has introduced Zero Trust AI Control, or ZTAIC, a new security capability designed to restrict what AI agents can access, execute and connect to within an organization’s environment.The October 20 announcement addresses a growing concern as businesses move from AI tools that generate information to agents capable of taking actions across applications and systems.Traditional AI guardrails typically rely on instructions or policies intended to influence how an agent behaves. ThreatLocker is taking a different approach, applying security controls independently of the AI system itself.ZTAIC is designed to enforce restrictions on application execution, file access and network connections, including when an AI agent invokes other applications, scripts or processes to complete a task.
For example, an agent might be authorized to analyze information in a particular folder and generate a report, while remaining unable to access unrelated files or transmit information to unauthorized destinations.
The offering builds on ThreatLocker’s existing Zero Trust platform, including application allowlisting, Ringfencing and Web Content Control.
Security teams can begin with recommended policies and adapt them to the requirements of individual environments.
For Canadian MSPs, the development points to an emerging service opportunity around helping customers deploy AI agents safely.
That work involves identifying which agents should be permitted, defining their access requirements, limiting their privileges and maintaining controls as they interact with other software.
The announcement does not specify Canadian pricing, availability details or a new MSP-specific commercial program.
While the technology is designed to reduce the risks associated with agentic AI, it does not eliminate the need for broader identity security, monitoring and governance.
- Flexera expands AI cost management into infrastructure and data platforms: Flexera has announced an expansion of its AI Cost Management platform, extending its existing capabilities for tracking AI applications, agents, models and token consumption into the infrastructure and data platforms supporting those workloads.The October 20 announcement adds autonomous optimization capabilities designed to balance cost and performance across cloud infrastructure, containers and AI data services.Flexera is also expanding its ecosystem of integrations with AI gateways, model-routing technologies, observability platforms and economic-control systems.The company’s existing Token Cost Control capabilities provide visibility into consumption across AI model APIs and applications, including identifying the users and agents responsible for spending.
Those capabilities can support cost allocation, chargebacks, forecasting and governance.
The expansion adds more attention to the infrastructure costs that can accumulate behind AI workloads, including compute resources and data-platform operations.
Flexera expects automation for Snowflake environments to become available by the end of 2026, followed by Databricks automation in early 2027.
The company is also working with vendors including Revenium and Ascerta, formerly Pay-i, to expand the information available for managing AI economics.
A new AI cost-management maturity assessment is available to help organizations evaluate their practices.
Flexera partner SoftwareOne is among the companies highlighting growing customer demand for financial visibility and accountability as AI moves into production.
For Canadian solution providers, the opportunity extends beyond helping customers select AI technologies.
Partners can potentially build services around measuring consumption, identifying inefficient workloads, allocating costs, implementing spending controls and connecting AI investments to business outcomes.
The announcement builds on capabilities introduced earlier this year. Some of the newly described automation features remain scheduled for future release rather than being generally available today.
In Brief
- Grafana opens commercial marketplace for partner-developed plugins: Grafana Labs has announced general availability of the Grafana Marketplace, allowing verified technology partners and developers to sell commercial plugins through Grafana’s existing extension catalog.Announced October 20 at ObservabilityCON, the marketplace provides a new way for developers to generate recurring revenue from integrations they build and maintain for Grafana.The initial offering supports trials and monthly subscriptions for Grafana Cloud customers.Grafana Labs handles billing and payment support, while the partners developing the plugins remain responsible for technical support, maintenance and compatibility.
Every marketplace listing is reviewed by Grafana Labs and must meet requirements covering security, software signing and handling sensitive information.
The initial catalog includes integrations for network and security platforms, storage and virtualization systems, collaboration tools, and infrastructure cost management.
Available plugins include connections to technologies from Cisco, Fortinet, VMware, NetApp, Dell, Microsoft, Nutanix, Proofpoint and others.
Marketplace participants include Crest Data, Phenisys, Integration Plumbers, Helin Data and KensoBI.
The commercial marketplace is an addition to Grafana’s existing plugin ecosystem, not a replacement for its free and open-source extensions.
Developers can continue distributing free plugins without participating in the commercial program.
For Canadian software developers, systems integrators and specialized solution providers, the marketplace offers a potential way to commercialize expertise in connecting enterprise technologies.
Building an integration can require significant ongoing work to maintain compatibility, address security issues and support customers.
Grafana’s new model is designed to make that work more commercially sustainable by giving developers access to customers already using the platform.
The marketplace was introduced in preview earlier this year. The October 20 announcement marks its general availability.
- ConnectWise introduces technical webinars as cloud services remain suspended: ConnectWise said Tuesday that Cloud Backup, SaaS Security and Cloud Management remained unavailable while remediation and security validation continued following unauthorized access involving application identities. The company is planning a controlled, phased restoration but has not confirmed a timetable. It has also introduced technical webinars for partners, beginning October 20, to help administrators investigate Microsoft Entra ID logs, application credentials and permissions across their own and customer Microsoft 365 environments.
- Cycode expands Canadian operations after reporting substantial customer growth: Cycode says its Canadian customer base has grown 500 percent over approximately 18 months. The application-security company has established dedicated Canadian pre-sales, post-sales and customer-success teams, and names Jane Software, Clio, Tenstorrent, Benevity, BDO Canada and theScore among its customers. The company is emphasizing security for AI-assisted software development, although it has not disclosed the starting customer count behind its growth figure or announced a new Canadian partner program.
- Check Point expands AWS collaboration around cloud and AI security: Check Point has signed an expanded multi-year strategic collaboration agreement with AWS, building on an existing relationship established through a 2024 agreement. The companies will deepen integrations involving Amazon Bedrock, Bedrock AgentCore and other AWS services, while expanding access to Check Point’s security technologies through AWS Marketplace and co-selling arrangements. The focus includes protecting generative and agentic AI workloads.
- Bishop Fox introduces managed testing for emerging threats: Bishop Fox has launched Emerging Threat Testing, a managed service designed to determine whether newly disclosed vulnerabilities represent actual risks in a customer’s environment. The offering combines automated analysis with expert validation and provides findings intended to distinguish confirmed exposure from vulnerabilities that are not applicable. It is available within Bishop Fox’s Continuous Security Testing portfolio.
- FireMon integrates Akamai Guardicore segmentation policies: FireMon has introduced an integration with Akamai Guardicore Segmentation, allowing organizations to manage microsegmentation policies through the same governance environment used for firewalls and cloud security controls. FireMon provides policy visibility, normalization, change validation and auditing, while Akamai Guardicore continues enforcing segmentation rules. The integration is designed to simplify zero-trust policy management across hybrid environments.
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Welcome to The Buzz from ChannelBuzz.ca, I’m Robert Dutt, today is Wednesday, October 21, 2026, and here’s what’s happening in the channel today.
We’re starting today with OpenText World in Orlando, where OpenText CEO Ayman Antoun has laid out his vision for the company’s role in the emerging enterprise AI market.
And rather than trying to compete with every other company building AI models, agents and orchestration platforms, OpenText is staking out a particular part of the technology stack.
Antoun argues that one of the biggest obstacles to making AI useful in business isn’t the AI technology itself.
It’s the information that technology needs to work with.
During Tuesday’s keynote, he said only about twenty percent of enterprise data is currently usable for agentic AI workflows.
And he pointed to research suggesting that the overwhelming majority of AI pilots never make it into production.
His argument is that AI systems need more than access to information.
They need reliable, secure and governed information, with enough context to understand what that information means and how it should be used.
And that’s where OpenText sees its opportunity.
The company wants to provide the trusted data and context layer that connects enterprise information to AI applications and agents.
That means working alongside the companies providing the infrastructure, AI models and orchestration technologies, rather than necessarily trying to provide every piece itself.
It’s also a potentially important opportunity for channel partners.
Getting enterprise information ready for AI can involve integrating different systems, organizing data, establishing access controls and helping customers turn individual experiments into working business processes.
Those are areas where solution providers can play a significant role.
But there’s still an interesting question about how broadly that opportunity extends across OpenText’s partner ecosystem, including its existing MSP business.
Antoun’s keynote concentrated primarily on the enterprise AI opportunity, rather than detailing how the company’s managed services portfolio fits into the strategy.
And that’s something we’re exploring in our conversations with OpenText executives and partners here at the event.
The bigger message from Tuesday’s keynote is that OpenText doesn’t necessarily want to own every part of enterprise AI.
It wants to make the information underneath those AI systems trustworthy enough that businesses can actually put them to work.
As businesses begin deploying AI agents that can actually perform tasks, rather than simply answer questions, securing those agents is becoming an increasingly important challenge.
And ThreatLocker has introduced a new approach to addressing that problem.
The company announced Zero Trust AI Control, or ZTAIC, on Tuesday.
The idea is to give organizations technical control over what an AI agent can access, execute and connect to.
That’s different from the guardrails typically built into AI systems.
Those guardrails tell an agent what it should or shouldn’t do.
ThreatLocker’s approach is to enforce restrictions independently of the AI system itself.
For example, an agent might be authorized to examine documents in a particular folder and prepare a report.
But it shouldn’t necessarily be able to read unrelated customer records, execute unauthorized software or send information to an external destination.
And the challenge becomes more complicated when an AI agent uses other applications to complete its work.
An agent might launch a script, open a browser or invoke another program.
ThreatLocker says its new controls are designed to maintain the appropriate restrictions throughout those interactions.
ZTAIC builds on the company’s existing Zero Trust platform, including application allowlisting and Ringfencing.
It also includes recommended policies that security teams can customize.
For MSPs, there’s an interesting service opportunity here.
As customers adopt AI agents, someone needs to determine what those agents should be allowed to do, configure the appropriate controls and make sure the restrictions continue working as business processes change.
That’s not simply a software deployment.
It’s an ongoing security and governance responsibility.
ThreatLocker hasn’t announced detailed Canadian pricing or a new MSP-specific program as part of the launch.
But the broader direction is important.
If AI agents are going to become part of everyday business operations, organizations will need ways to enforce their security policies, rather than relying entirely on the agents to follow instructions.
And while security is one challenge for organizations putting AI into production, understanding what it’s costing them is another.
Flexera announced an expansion of its AI Cost Management platform Tuesday, adding new capabilities for controlling the infrastructure and data-platform costs associated with AI.
The company already provides tools for tracking AI applications, models, agents and token consumption.
Now it’s extending that approach into the cloud and data infrastructure supporting those workloads.
And that’s important because the cost of an AI application doesn’t necessarily end with the price of the model.
An agent may make repeated requests, process large amounts of information, access different data services and consume substantial computing resources.
A single business process can generate costs across several different systems.
Flexera wants to help organizations see those costs together and identify opportunities to reduce unnecessary spending.
The expansion includes autonomous optimization capabilities designed to balance performance and cost across infrastructure and data services.
The company is also working with AI gateway and model-routing providers to improve visibility into how organizations consume AI resources.
Some of the announced capabilities are still coming.
Automation for Snowflake is expected by the end of this year, with Databricks support following in early 2027.
Flexera has also introduced a maturity assessment to help organizations understand how well they’re managing AI spending.
For the channel, there’s a familiar opportunity here.
MSPs and solution providers already help customers manage cloud consumption, software licensing and infrastructure costs.
AI introduces some new measurements, including tokens and agent activity, but many of the underlying business questions are the same.
Who’s using the technology?
What’s it costing?
Where is money being wasted?
And is the organization getting enough value from what it’s spending?
As AI becomes a regular part of customer operations, answering those questions could become another recurring service.
In Brief –
Grafana Labs announced general availability of the Grafana Marketplace at its ObservabilityCON event on Tuesday.
ConnectWise says its Cloud Backup, SaaS Security and Cloud Management services remain suspended, and has introduced technical webinars to help MSPs investigate their Microsoft 365 environments while the company prepares for a phased restoration.
Cycode says its Canadian customer base has grown five hundred percent over approximately eighteen months, and has established dedicated Canadian teams to support customers adopting AI-assisted software development.
Check Point has expanded its multi-year collaboration with AWS, focusing on cloud and agentic AI security integrations and broader access to its technologies through AWS Marketplace.
Bishop Fox has introduced Emerging Threat Testing, a managed service designed to determine whether newly disclosed vulnerabilities actually affect a customer’s environment.
And FireMon has integrated with Akamai Guardicore Segmentation, bringing microsegmentation policies into its broader network-security governance platform.
Full details and links in the show notes or the blog post.
Later today on In The Channel, I’ve got a conversation with Todd Cione from OpenText World.
We discuss the role of partners in OpenText’s business and where the company sees opportunities for the channel.
Look for that episode after eleven o’clock Eastern this morning.
And if you haven’t heard it yet, yesterday on In The Channel I spoke with Dave Baggett from Kaseya about why simpler security could mean stronger security for MSPs.
We discussed findings from Kaseya’s latest cybersecurity research, the operational burden created by too many security tools, and how providers can improve their security practices.
That’s how we’re seeing the headlines today. I’m Robert Dutt for ChannelBuzz.ca, thanks for listening. Have a great day.
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