Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Alert: Watch Out For Phishing Attacks in the Wake of the AWS Outage

Cybernews warns that threat actors will likely take advantage of the recent AWS outage to launch phishing attacks against affected users. Attackers frequently exploit high-profile events to carry out social engineering attacks while people are confused or stressed, as these users are more likely to act without careful consideration.

What Technologies Make Online Money Transfers Secure?

A 2022 report by the Bank for International Settlements suggests that about $7.5 trillion is transferred daily around the globe. For context, the U.S. federal government spent $7.01 trillion in its 2025 fiscal year, which ran from October 2024 to September 2025, according to the U.S. Treasury Fiscal Data. Basically, this implies that about 7% more money is traded on the foreign exchange market daily than the U.S federal government spends annually.

Key API Security Takeaways from the Postman 2025 State of API Report

API security has never been more important because modern APIs are operational necessities. Unfortunately, many organizations are failing to adapt their security models to a rapidly changing API threat landscape. Like it or not, we live in an AI-first world, and API security must reflect that reality. The Postman 2025 State of API Report is confirmation of that fact.

Unlocking AI's full value: CIO and CISO perspectives

AI investment is accelerating across industries. Many organizations have either fully or extensively embedded AI in their business processes today. Yet, 40%* of IT teams still express a lack of trust in AI-generated outcomes. They remain in reactive mode, held back by disconnected systems, manual work, and rigid tools. What’s missing?

AI Privacy and Security: Key Risks & Protection Measures

AI systems learn from vast amounts of data and then generalize. That power is useful and also risky. Sensitive data can slip into prompts. Proprietary datasets can be memorized by models. Attackers can steer models to reveal secrets or corrupt results. Meanwhile, your company is probably experimenting with multiple AI tools at once. That creates hidden data flows and inconsistent controls. “Traditional” app security isn’t enough.

API Security: Challenges for a Secure Digital Frontier

Organizations continue their digital transformation, with APIs now serving as the main communication links between applications, platforms, services, and partners. The widespread use of APIs introduces new security risks despite their common presence. The growing number of APIs significantly increases the cyber risks that security teams must address as they keep up with technological advances.

Are we only one prompt away from using AI for evil? #cybersecurity #ai #infosec

Are we only one prompt away from using AI for evil? In this week's episode of The Cybersecurity Defenders Podcast, we explore a concerning reality about AI and cybersecurity. As AI becomes more prevalent within the threat actor community, exploits are being developed faster than humans can patch. The tools that help developers debug code can just as easily be used to weaponize vulnerabilities.

CVE-2025-6515 Prompt Hijacking Attack - How Session Hijacking Affects MCP Ecosystems

JFrog Security Research recently discovered and disclosed multiple CVEs in oatpp-mcp – the Oat++ framework’s implementation of Anthropic’s Model Context Protocol (MCP) standard. Among these, CVE-2025-6515 stood out due to its potential threat of hijacking MCP session IDs. Within the context of MCP we’ve dubbed this new attack technique “Prompt Hijacking“. Your browser does not support the video tag.

AI at Work: How Egnyte Intelligence Goes Beyond Generic Tools

AI isn’t the future, it’s here. Your CEO’s talking about it in board meetings. Your manager wants to know if it'll save time or just add more work. And you? You're wondering if it's going to make your job easier or just add noise. The excitement is justified. McKinsey says nearly 80% of companies are using AI somewhere in their business. But here's what most people miss: very few have gotten it to work across their entire organization. Why?