Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Invisible Colleague: Understanding Shadow AI in the Workplace

The rise of AI tools like ChatGPT, Gemini, Midjourney, and Copilot is reshaping workplaces, with employees adopting these tools to boost productivity and innovation. However, this rapid adoption often occurs without IT oversight, creating Shadow AI - a growing challenge for businesses.

AI-Generated Summaries Mistakenly Suggest Phishing Sites

Researchers at Netcraft warn that AI-generated search engine summaries are suggesting phishing sites when users ask them to find legitimate login pages. The researchers tested popular AI models, asking them for the login pages of fifty major brands, and found that the models provided the wrong sites 34% of the time. "In many cases, users see AI-generated content before (or instead of) traditional search results—and often without even needing to log in," the researchers explain.

AI-Powered Email Threat Detection and Response with Next-Gen SIEM

Email remains the top attack vector, and speed is critical when every second counts. Falcon Next-Gen SIEM and Fusion SOAR streamline detection by ingesting email telemetry and automating investigation with Charlotte AI. By analyzing sender behavior and message content, Charlotte AI delivers real-time, human-readable verdicts with confidence scoring. Teams can quickly isolate threats, block senders, or escalate suspicious activity. With AI-powered workflows and automation, email triage becomes faster, more precise, and scalable.

Navigating Identity and Security in the Age of Agentic AI

As AI agents rapidly improve, becoming more autonomous and interconnected, they unlock new ways to assist us. But as they perform actions for us and delegate tasks to other AI agents, we need to reexamine our understanding of “identity.” How do we ensure these powerful AI interactions are authentic, authorized, and permissioned, while differentiating between legitimate actions and potential misuse?Join Datadog co-founder and CTO Alexis Lê-Quôc and Okta CTO Bhawna Singh as they explore the convergence of AI, security, and observability.

The Future of Content and AI: Pay per Crawl and What's Next

In this episode, host João Tomé is joined by Will Allen, Cloudflare’s VP of Product Management, to discuss Pay-Per-Crawl and our new permission-based model for AI bots. These updates, launched on Content Independence Day, aim to reshape how AI models access and reward content, shifting from opt-out to opt-in. They explore how AI Overviews are changing the old “traffic for content” model, and how Cloudflare is helping creators take control through tools like AI Audit. Plus: the future of trustworthy content, bot authentication, and the rise of a fairer content economy.

Microsoft Copilot and Data Security: Tracing AI's Role in the Enterprise

Artificial intelligence is no longer a distant vision—it’s a present-day force reshaping how enterprises manage, process, and secure their data. Among the most influential innovations driving this transformation is Microsoft Copilot. Marketed as an AI-powered productivity enhancer, Copilot integrates seamlessly with Microsoft 365 applications, unlocking new levels of efficiency across industries.

Data is the key to building modern AI workflows

In this guest post, Eric Newcomer, Principal Analyst at Intellyx, explains why data is essential for building and running effective AI workflows. In the current phase of AI transformation, everyone is discovering many applications for gen AI, especially chats with LLM trained data, public as well as private. One interesting application of AI is building modern workflows to automate operational processes.

AI Attacks Are Coming in a Big Way Now!

AI is going to allow better, faster, and more pervasive attacks. For a few years, if you attended one of my presentations involving AI, I would tell you all about AI and AI threats…perhaps even scare you a bit…and then tell you this, “AI attacks are coming, but how you are likely to be attacked this year doesn’t involve AI. It will be the same old attacks that have worked for decades.” I always got lots of comforted smiles from those ending lines. But this year is different.

How LLMs Are Changing DLP, And Why That's a Good Thing

For years, data loss prevention has been synonymous with pain: These legacy approaches treat every potential incident the same, forcing teams to waste time deciphering what really happened and why it matters. Meanwhile, real risks slip through the cracks because no team can manually keep up.