Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why the Target Breach Wasn't a Detection Failure - It Was Prioritization | Garrett Hamilton at UCI

Nicole Perlroth asks Garrett how Reach's involvement would have impacted the breach with Target. Attackers came in through a third-party HVAC vendor. Credentials were compromised. Alerts fired. But nothing rose to the level of urgency it deserved. As Garrett Hamilton explains at UCI, this is where security breaks down—not detection, but prioritization. Most teams keep investing in reacting faster inside the SOC. The harder (and more effective) shift is upstream: reducing the exhaust before it ever hits the console.

When AI Becomes the Insider Threat

Remember that annoying ‘paperclip’ in Microsoft Word 97? The one that was always trying to help you…Fast forward nearly 30 years and we now have AI. In the race to adopt artificial intelligence, businesses are embedding AI systems into their daily operations, streamlining workflows, enhancing productivity, and centralizing knowledge. But what happens when that very system becomes an attacker’s most valuable asset?

How to Stop Sensitive Documents From Leaking in Slack, Gmail, and ChatGPT (Demo)

Your security tools can detect credit card numbers, but they are blind to the files that actually matter. In this demo, we show how sensitive documents like: Internal source code Financial forecasts Performance reviews Customer lists are automatically detected and blocked in Slack, Google Drive, SharePoint, Gmail, and even ChatGPT using Nightfall’s new AI-powered file classifiers. No regex. No keywords. No training data.

CrowdStrike to Acquire SGNL to Secure Every Identity in the AI Era

I’m excited to announce CrowdStrike’s agreement to acquire SGNL, a leader in identity-first security. This acquisition will extend CrowdStrike Falcon Next-Gen Identity Security to deliver continuous, context-aware authorization for human, non-human, and AI agent identities across SaaS and hyperscaler cloud environments. As risk conditions and threats change, access to applications, data, and AI agents should change with them.

Secure by Default: Why Snyk and Augment Code are the New Standard for AI Development

AI coding assistants have fundamentally changed development velocity. With tools like Augment Code, developers can now build and iterate at a pace that was unimaginable just a few years ago. However, this explosion in speed has created a new challenge: security teams, often still relying on manual review processes, are becoming the bottleneck.

AI Compliance Training: EU AI Act & 90-Day Implementation Strategy

Executive Summary: A technical briefing on navigating the AI compliance landscape, focusing on the EU AI Act, US federal mandates, and state-level regulations. This session provides a structured 90-day roadmap for AI system governance, risk mitigation, and role-based training deployment. Key Knowledge Domains.

Cato's ASK AI Assistant: Turning Complex Network Operations Into Simple Conversations

Every superhero needs a sidekick. For your network and security teams, that is Cato’s ASK AI Assistant, our new AI Assistant built to help you see, solve, and secure faster than ever. This isn’t a basic Q&A tool. It brings customer-specific information and ability to work with other tools to answer complex questions.

Why AI Transformations in Security Fail Like New Year's Gym Resolutions

Enterprise AI adoption moved fast. Speed mattered. Shipping mattered. Getting AI into production mattered. That phase is over. Security leaders are now asking a harder question: whether the AI already embedded in security operations is safe, explainable, and aligned with how modern SOC teams actually work. The focus has shifted from adoption to trust, specifically explainability, governance, and operational fit.

AI Automation for MSPs: Boost Productivity, Cut Costs, and Improve Service Quality

AI automation for managed service providers is creating a major shift from reactive to proactive service delivery, allowing MSPs to streamline ticket handling, accelerate resolution times, and operate far more efficiently. Real-world data shows that AI-driven automation can help service desks close significantly more tickets per technician by automating triage and routine tasks, while also reducing operational costs by 25 to 40 percent** through improved workflow efficiency and reduced manual labor.