Intensifying bot wars, a sharp rise in attacks on civil society organisations, and rapid progress in post-quantum encryption mark a pivotal year online.
Over the years, cybersecurity predictions tend to all sound the same. Ransomware attacks will continue, supply-chain incidents will increase, and phishing will remain a problem. However, the tail end of 2025 and 2026 presented the cybersecurity industry with a new concern, Agentic AI. Agentic AI capabilities far exceed the basic AI concerns that were reported in the past. Its ability to make decisions and take actions on its own, without needing a human to approve every step, is a game-changer.
We’re excited to announce the availability of two multi-product solutions in AWS Marketplace today. ATG and Vanta: Fast Track to Compliance Acceleration, along with Digital Trust Accelerator with Cognisys & Vanta to allow organizations to easily discover, try, test, buy, and deploy—as well as manage—thousands of software solutions. This new drop includes pre-built AI agents and ready-to-integrate tools, all in one place.
Can you explain AI Security using only emojis? We challenged AI Security professionals to do just that — no words, just symbols. Their creative combos reveal how experts really think about risks, models, and protection in today’s AI-driven world. From to to , each emoji tells a story about securing the systems behind the world’s most powerful models. Subscribe for more creative takes on AppSec, AI Security, and secure development from the Mend.io team.
AI agents connect to APIs, execute code, move data, and make decisions with real permissions in live production environments — introducing a new class of security risks. To help organizations stay ahead, the OWASP GenAI Security Project released the OWASP Top 10 for Agentic Applications 2026. In this post, we’ll provide a summary of each agentic AI risk category defined by OWASP, along with actionable next steps to begin securing your agentic AI projects in 2026 and beyond.
In 2025, many of the long-standing cloud security concerns remained, but new areas of focus also developed. The significant increase in AI adoption enabled organizations to deliver features faster but also introduced new attack surfaces, such as untrusted or unpredictable user input for large language model (LLM) applications. At the same time, long-lived credentials and vulnerabilities in third-party packages continued to expose cloud environments to risk.
Artificial intelligence is transforming how organizations operate, innovate, and compete. From employees using GenAI tools to boost productivity to engineering teams building sophisticated AI agents and applications, AI has become central to modern business operations. AI now operates across every part of the enterprise, spanning endpoints, applications, identities, cloud services, data, and SaaS platforms.
The 2025 Cloudflare Radar Year in Review is here: our sixth annual review of the Internet trends and patterns we observed throughout the year, based on Cloudflare’s expansive network view.
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