AppsFlyer’s JavaScript SDK has been compromised in an active supply chain attack. Websites loading the script are serving malicious code to their users without any changes to their own codebase.
Cybercriminals don’t rest. Neither should your defenses. As digital threats grow more advanced and persistent, organizations face a harsh reality: traditional security controls alone are no longer enough.
This is a demo of Netskope One AI Guardrails and the Netskope One AI Gateway. Netskope One AI Guardrails provides real-time content moderation for every interaction, securing the enterprise against emerging AI-specific threats including prompt injection and jailbreak attempts, and unsafe use. Netskope One AI Gateway secures the API traffic fueling your AI-powered applications. By centralizing authentication, traffic management, and content inspection between private apps and LLMs, we ensure autonomous agentic data flows remain governed and secure.
This is a demo of the Netskope One Agentic Broker, which provides unified visibility and real-time protection for the autonomous AI ecosystem by decoding and securing Model Context Protocol (MCP) traffic between AI agents and data sources.
The number of ransomware attacks increased by 50% in 2025, even though the number of victims who decided to pay the ransom fell to an all-time low, according to a new report from Chainalysis. The size of the ransom for victims who did pay increased significantly, growing 368% year-over-year to nearly $60,000. The total ransom payments observed by Chainalysis last year amounted to $820 million.
Security leaders are under pressure to reduce risk faster while proving value to the board and controlling costs as environments expand across cloud, identity, and SaaS. Traditional SIEM pricing models were not built for this reality. They charge equally for every gigabyte of data and often introduce unpredictable AI consumption costs, forcing security teams to manage budgets instead of focusing on risk.
As organizations increasingly rely on Microsoft Teams for internal and external collaboration, the platform’s chat and file-sharing capabilities have become central to daily operations. However, speed and flexibility come with risk. User-managed collaboration tools can create challenges in maintaining control over data access and enforcing compliance with organizational sharing and usage policies.
Everyone knows ChatGPT, but Agentic AI is where the real work happens. In this Agentic AI vs GenAI breakdown, we explain why Agentic AI is the next major leap, and what it means for your business and career. Here’s the difference: Generative AI (GenAI): Creates content. You ask, it writes, summarizes, or creates. Agentic AI: Does work. It is built on three core components: a brain (reasons), memory (context), and tools (the key that lets agents touch real systems like APIs and databases).