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Microsoft announced on Monday the launch of Project Perception, an AI agent security system designed to help defenders counter rapidly evolving attacks where malicious actors leverage AI. The company also released the AI model MAI-Cyber-1-Flash, integrated with the MDASH code scanning tool, to identify and fix vulnerabilities. This move is part of the industry's push to advance AI security technologies to protect enterprise IT and critical infrastructure from sophisticated attacks.
AI technology is evolving from a threat to mainframes into an empowering tool, driving enterprises to move from 'discard and start over' to 'upgrade in place.' Vendors are launching COBOL modernization assistants, and enterprises are building self-developed platforms to accelerate code conversion, but Gartner warns that over 70% of migration projects may fail due to overestimating AI.
In its Q2 earnings call, SAP reaffirmed the central role of its AI strategy, with cloud revenue up 24% year-over-year and total revenue reaching $11.24 billion. CEO Christian Klein highlighted ERP migration as a growth driver and emphasized the vision of the autonomous enterprise. The company launched the SAP Business AI Platform and Autonomous Suite, acquired Dremio and Reltio to strengthen its data foundation, and expanded collaborations with Google Cloud, Microsoft, Snowflake, and Nvidia. Internally, it is also advancing AI talent recruitment and employee skills transformation, aiming to cover over 90% of its workforce.
In mid-July, Fortinet unveiled a global distribution framework, naming Exclusive Networks and TD Synnex as its two distributors to simplify cross-border transactions. The framework offers partners a single operational point of contact while accommodating local billing, compliance, and support needs in each market. The two distributors have each deployed centralized support models: TD Synnex coordinates cross-regional transactions and expands its business in Europe and Asia, while Exclusive Networks provides localized services through a global transaction desk covering more than 90 countries. Fortinet stated that this initiative aims to reduce administrative and cross-border complexities, accelerate deal closure, and boost partners' confidence in international operations.
Most enterprise software evaluations begin with a feature checklist and ultimately yield a decision that appears confident but is inherently fragile. Sudhakar Shivaraju, Vice President of Global Real Estate Systems at JPMorgan Chase, draws on two formal selection experiences across industries and years to point out that the real risk lies not in choosing the wrong vendor, but in evaluating the wrong things, or mis-weighting the right things under real constraints. He advises CIOs to segment functional domains by actual usage scenarios (security and compliance, integration and API architecture, user experience and adoption resistance, vendor support and roadmap transparency, AI capabilities, total cost of ownership) and set weights based on their own constraints rather than generic templates. At the same time, vendor roadmaps should be treated as primary evidence rather than marketing material, distinguishing confirmed commitments from visionary statements; support responsiveness and roadmap transparency should be scored separately; AI capabilities should be examined as an independent domain, probing whether they are based on the enterprise's real data, how the privacy model works, and whether they are already in production; and switching costs such as data migration and user retraining should be honestly quantified.
A survey by global IT services provider Unisys shows that 75% of enterprises view agentic AI as key to managing multi-cloud environments, but only 23% have initiated large-scale adoption. The gap between expectations and execution is transforming into a clear mission for channel partners: helping customers move from pilot to production. The latest Omdia channel analysis also points out that multiple cybersecurity vendors are formalizing consulting roles around AI security and platform adoption, providing partners with reusable service models.
Cloud adoption is meant to help enterprises accelerate, but traditional security models can stifle innovation. Security teams accustomed to saying 'no' are easily bypassed in fast-deployment environments like AWS. Experts suggest that security teams should shift to an enabler role, balancing security and agility through governance and pre-provisioned safeguards.
Despite concerns such as high-profile layoffs in the tech industry, the latest Payscale report shows that tech sector salary growth still leads all other industries in the second quarter of 2026. The average annual salary for technical workers increased by 6.9%, making it one of only three industries with growth rates exceeding inflation. As companies reorganize around AI deployment, salary premiums for certain specialized roles have become significant, driving up the industry average.
In the quarter ending June 30, IBM's infrastructure segment revenue fell 7% year-over-year, with IBM Z mainframe business revenue down 42% year-over-year. The company attributes this to customers postponing capital expenditures due to chip shortages and rising hardware prices, rather than customer attrition. CEO Arvind Krishna stated that one-third of deferred deals were completed within three weeks after the quarter ended, indicating demand remains.
At Omdia's London channel transformation event, it was pointed out that most channel partners fail to fully utilize market development funds (MDF) and cannot measure their return on investment. Research shows that over 40% of partners are unclear about which MDF-supported activities have the greatest impact, while nearly 90% believe marketing activation is crucial to strategic supplier relationships, but over half feel supplier support is insufficient. Marketing capability is becoming a new competitive advantage in the channel.