Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why AI Privacy is a Competitive Advantage (Not Just Compliance)

In most startups building or using AI, privacy often gets treated like a checkbox that legal or security will “handle later.” That mindset quietly kills deals, scares off enterprise buyers, and limits your access to the very data your models need. Here is the truth that more founders and CTOs are embracing. Privacy makes your product easier to buy, models better to train, and business more valuable.

Charlotte AI - 2025 MITRE ATT&CK Enterprise Evaluations

The 2025 MITRE ATT&CK Enterprise Evaluations featured sophisticated cross-domain attacks from Scattered Spider, and CrowdStrike's Charlotte AI proved essential in delivering 100% detection and protection with zero false positives. Charlotte AI accelerated every stage of security operations with Agentic Detection Triage for instant verdicts, Agentic Response that investigates alerts like expert analysts, and command-line analysis in plain language.

Mitigating Credential Phishing in the Age of AI and Cloud Convergence

Phishing remains one of the most effective methods for stealing credentials and breaching enterprise environments. Despite advanced email and browser protections, attackers now leverage AI, and automation to outpace traditional defenses. The Verizon 2024 Data Breach Investigations Report found that 68% of breaches involve the human element, often triggered within seconds of a phishing lure, just 21 seconds to click and 28 seconds to submit credentials.

AI, Creators & Agentic Commerce - A Conversation with Cloudflare CSO Stephanie Cohen

In this episode of This Week in NET, host João Tomé sits down with Stephanie Cohen, Cloudflare’s Chief Strategy Officer, for a candid conversation about AI, content creators, financial services, partnerships, and the future of the Internet. Stephanie shares how Cloudflare is helping keep the Internet open and resilient — from giving creators transparency and control over AI scraping, to enabling new models of agentic commerce through partnerships with Visa and Mastercard, to empowering organizations of all sizes through Cloudflare’s global network.

The OWASP Top 10 for Agentic Applications: A Milestone for the Future of AI Security

The OWASP GenAI Security Project has officially released its Top 10 for Agentic Applications, the first industry-standard framework focused on the operational risks created by autonomous and semi-autonomous AI systems. AI has evolved in a way that directly changes how enterprises need to think about security. We started with machine learning systems designed to classify and predict.

OWASP Top 10 for Agentic Applications (2026): What Developers and Security Teams Need to Know

Agentic AI is moving into production in CI/CD pipelines, internal copilots, customer support workflows, and infrastructure automation. These systems no longer just call a model. They plan, decide, delegate, and take actions on behalf of users and other systems. This creates new attack surfaces that do not map cleanly to traditional application security or even the OWASP Top 10 2025.

How Insurity Cut Manual Security Work by 81%

95 hours back. Every. Single. Month. One of the many outcomes from our ZTA journey with Insurity. They didn’t just deploy Zero Trust — they operationalized it. Reach unified controls, automated remediation, and eliminated the manual effort slowing progress. Results:︎ 81% less manual work︎ 95 hours saved per employee per month︎ Months → days for rollout︎ Zero Trust that sticks.

When Al Agents go Rogue: What you're Missing in your MCP Security

No Fluff, Just Real-World Threats This isn’t your typical marketing webinar. We cover what Agentic AI actually looks like in production, how MCP servers work to broker instructions, and what kind of new threats are emerging. Agentic AI isn’t coming. It’s already here. Autonomous agents are now operating in production environments, reasoning, remembering, and taking real actions across your systems. They’re not just generating content. They’re triggering workflows, modifying records, and making decisions. And they’re doing it over APIs.

Securing Agentic AI: Visibility and Protection for MCP Servers and A2A Traffic

AI agents aren’t just talking, they’re taking actions. They’re booking transactions, pulling sensitive data, and chaining tools together to get work done. As enterprises embrace these agents, protocols like the Model Context Protocol (MCP) and Agent-to-Agent (A2A) are enabling powerful new capabilities, but also creating invisible ecosystems of API-driven agent activity that traditional security tools can’t see or control.

You Can't Have AI Security Without API Security

For most leadership teams, the question is no longer if they’ll use AI, but how to turn it into measurable business value. Success hinges on the APIs that feed, govern, and scale AI initiatives — and whether your strategy is built for speed, security, and cost efficiency. From accelerating product development to delivering real-time customer experiences, the business case for AI is clear. But without the right API strategy, AI initiatives risk falling short — driving up costs, creating compliance gaps, and limiting ROI.