Zero-click search now acts as the main web search method, serving users instant answers without a single site visit. Businesses can no longer rely only on SEO for effective online visibility. Marketing managers, along with web developers and content creators, must understand zero-click search dynamics to preserve visibility and digital value.
Internal Developer Platforms (IDPs) can streamline cloud-native development, enhance developer experience, and reduce misconfigurations. But for SMEs, adopting an IDP requires careful timing and resource consideration. IT leaders should assess if an IDP can transform delivery challenges into streamlined, scalable outcomes.
The Model Context Protocol (MCP) is an open standard developed by Anthropic for communication between AI models and data sources. It eliminates the need for developers to build custom connections for each new data source, tool, and API. AI developers can look to MCP to simplify development and improve interoperability for their AI systems.
As cyberattacks become faster and more AI-driven, security teams need new tools to keep up. Read this article to explore key use cases of Agentic AI in SOCs and gain practical guidance on how to integrate it into your security operations.
As AI systems scale into production, traditional validation practices may fall short. The OWASP AI Testing Guide (AITG) provides a structured framework for testing AI-specific risks, from adversarial threats to infrastructure vulnerabilities. CISOs should review OWASP’s AI Testing Guide to help ensure secure and responsible AI deployment.
Multi-tenancy is the cloud’s secret sauce for scale, but for SMEs, it can also be a recipe for compliance chaos. As regulators turn up the heat on cross-border data flows and shared infrastructure, CIOs must stop treating SaaS as “someone else’s problem.” SMEs must start building compliance-by-design partnerships with their SaaS vendors now if they want to leapfrog enterprise mistakes; or else they will fall victim to the same compliance pitfalls large enterprises face.
AI is a double-edged sword that can destroy your governance model if left unchecked. IT leaders in charge of AI adoption must embed ethical considerations into AI-driven application management now, or risk reputational blowback, regulatory fines, and mercurial black-box decision-making.
CIOs and IT leaders must now factor tariffs into every sourcing decision. By updating the classic Kraljic Matrix to include tariff risk, you can future-proof your supply chain, rebalance your vendor strategies, and avoid costly geopolitical surprises. Now is the time to rethink your sourcing matrix before it taxes your bottom line.
If enterprises are not strategically monetizing their APIs as core products then they are leaving substantial revenue on the table. CIOs should pivot to an API-as-a-Product mindset. They should establish dedicated API Product Manager roles and sophisticated monetization models to unlock significant new revenue streams and drive competitive differentiation.
Vibe coding accelerates development by enabling rapid prototyping and leveraging AI tools. However, this approach often leads to technical debt, including hardcoded secrets, inadequate input validation, and limited testing. It’s crucial for CIOs and IT leaders to balance speed with security to mitigate risks and ensure sustainable software practices.