Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Stop Feeding Logs to LLMs: A Multi-Agent Approach to Security Investigation

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo Noam Cohen is a serial entrepreneur building seriously cool data and AI companies since 2018. Noam’s insights are informed by a unique combination of data, product, and AI expertise — with a background that includes winning the Israel Defense Prize for his work in leveraging data to predict terror attacks.

Secure AI Agent Infrastructure with Zero-Code MCP

Learn how to secure AI and MCP infrastructure without writing authorization code, rewriting MCP servers, or limiting agent work with Teleport’s zero-code MCP integration. AI agents are becoming powerful participants in engineering workflows. But without meaningful authorization boundaries, they can quickly become an existential security risk. AI agents do not behave like traditional applications. Instead, they generate actions and chain together tools in unpredictable ways.

Proactive WAF Vulnerability Protection & Firewall for AI + Multiplayer Chess Demo in ChatGPT

In this episode of This Week in NET, we talk with Daniele Molteni, Director of Product Management for Cloudflare’s WAF, about how Cloudflare responded within hours to a newly disclosed React Server Components vulnerability — deploying global protection before the public advisory was even released.

Questions to ask before vetting an AI agent for your SOC

So you’re ready to “hire” an agent or two for security operations. While AI agents won’t replace your human analysts, they are quickly becoming indispensable team members. Choosing the right ones should resemble a typical hiring process: you need to determine if they possess the necessary skills to fill your team’s gaps, work effectively with others, and grow with your organization. Here are five questions worth asking before you bring an AI agent on board in your SOC.

Bridging the Global Cybersecurity Language Gap: How MachineTranslation.com Empowers Security Professionals

In today's hyperconnected digital world, cybersecurity isn't local, it's global. Criminals and nation-state attackers operate across borders, publish in multiple languages, and exploit ambiguities that arise when technical details get lost in translation. Meanwhile, defenders rely on timely threat intelligence, vulnerability disclosures, compliance guidance, and incident response playbooks, often issued in dozens of languages by vendors, cybersecurity agencies, CERTs, and independent researchers.

CrowdStrike Secures Growing AI Attack Surface with Falcon AI Detection and Response

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.

2025 cloud security roundup: How attackers abused identities, supply chains, and AI

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.

OWASP Top 10 for Agentic Applications 2026: Key Takeaways & How to Take Action

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.

We Asked AI Security Experts to Explain Their Work Using Emojis #AISecurity #AI #AppSec

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.

Predictions 2026: Surge in Agentic AI for Attacks and Defenses

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.