Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Technology

NIS 2 Directive: Strengthening IoT Security in the EU

In today’s interconnected world, the Internet of Things (IoT) plays a crucial role in various sectors, from healthcare and transportation to energy and critical infrastructure. However, with the increasing reliance on IoT devices comes the heightened risk of cybersecurity threats. To address these challenges and enhance cybersecurity measures across the European Union (EU), the NIS 2 Directive (Directive (EU) 2022/2555) was introduced.

Navigating Security Concerns: Microsoft Copilot's Integration with Microsoft 365

There are so many exciting things happening in the AI space currently. One of them is the integration of Microsoft Copilot, a generative AI, with Microsoft 365 applications. This fusion brings Copilot’s capabilities into the suite’s comprehensive office productivity tools to transform daily workloads and enhance productivity efficiency through the automation of mundane tasks, alongside offering insights and analyzing data. Key features include.

Elastic Security evolves into the first and only AI-driven security analytics solution

In our previous installation, we discussed the history of security information and event management (SIEM) solutions — from collection to organizational detections and finally to response and orchestration. Now, we are firmly in the SIEM 3.0 revolution and focused on applying generative AI to every applicable process in the security operations center with tremendous success.

Breaking the Cloud to Build the Cloud

There’s no such thing as a perfectly secure cloud environment. Vulnerabilities, holes left open by misconfigurations, over-permissive roles, and more create a target-rich environment for attackers. Breaking the cloud for good is the job of these expert hackers. View this panel session to learn about offensive security techniques and tactics for breaking the cloud to build the cloud better.

Cloud Detection and Response Has Evolving, Cloud-Scale Challenges

In our previous post, we explored the essentials of cloud detection and response (CDR), highlighting how the cloud's scale and complexity have transformed cybersecurity needs. We discussed the types of threats unique to the cloud and the broad benefits that CDR systems offer to organizations aiming to secure their cloud environments. This follow-up takes us deeper into some of the challenges that arise with detecting and responding to threats in the cloud.

The What and Why of Cloud Detection and Response

A recent survey from Gartner forecasts that worldwide end-user spending on public cloud services will total $679 billion in 2024, and that number is expected to jump to $1 trillion in 2027. Businesses left and right are moving to the cloud. But as they make their move, the old ways of protecting data—like building a virtual wall around your data (“perimeter security”)—are proving inadequate.

AI-Assisted Phishing Attacks Are on the Rise

Threat actors are increasingly using generative AI tools to improve their phishing campaigns, according to a new report from Zscaler. “AI represents a paradigm shift in the realm of cybercrime, particularly for phishing scams,” the researchers write. “With the aid of generative AI, cybercriminals can rapidly construct highly convincing phishing campaigns that surpass previous benchmarks of complexity and effectiveness.