Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Technology

Sysdig Sage: A groundbreaking AI security analyst

Generative AI (GenAI) is a top priority for organizations looking to increase productivity and solve business problems faster. In cloud security, AI chatbots to aid security practitioners are becoming more common, but to date, most of these solutions offer only basic queries and summarization. Diverse cloud environments and evolving threats require more from an AI security analyst.

5 Proven Benefits of Managed Cloud Security

Managed Cloud Security is an IT model that involves outsourcing the monitoring and security operations of cloud-based infrastructure to specialised third-party providers. This enables internal IT teams to concentrate on proactive initiatives rather than being bogged down by day-to-day security management, making it a strategic choice for organisations of all sizes. This approach integrates automation to enhance data breach protection, providing real-time threat alerts and ensuring regulatory compliance.

Personal Data and PII: A Guide to Data Privacy Under GDPR

Data privacy under GDPR is crucial in today's digital age. With increasing data breaches, understanding and protecting personal information is vital. The General Data Protection Regulation (GDPR) plays a significant role in safeguarding personal data and Personally Identifiable Information (PII). GDPR, implemented in 2018, sets strict guidelines on data protection for individuals within the EU.

How AI Impacts Security at SMEs

For small and medium-sized enterprises (SMEs), staying abreast of cybersecurity developments is critical — not just to growth, but to the company’s bottom line. But security evolves quickly, and it can be hard to keep up. In the midst of this fast-evolving security environment, AI has made a bold entrance. So bold, in fact, that only 10% of SMEs aren’t using AI and don’t plan to, according to a recent JumpCloud research report.

Sysdig Sage for CDR: Accelerate analysis, investigation and response

Last year, Sysdig outlined our vision for an AI-driven cloud security assistant. Today, we are excited to announce Sysdig Sage for cloud detection and response (CDR), our new release that embodies our vision. Built upon the core principles we introduced, Sysdig Sage offers actionable insights for cloud environments, with a focus on CDR.

Navigating Cloud Security: A Shared Responsibility

Each July, my family and I take a road trip from Kentucky back to my hometown in northwestern Pennsylvania to spend time on Lake Erie. As tradition dictates, we stop along I-71 for coffee at a branch of a certain coffee shop, which also happens to be my former employer as a teen. (Let’s call it Siren Coffee.) This year, we sat waiting in the drive-thru for a drip coffee for a full 10 minutes.

Sysdig Sage for Cloud Detection and Response

AI has supercharged cloud attacks - they are faster, more complex, and more sophisticated It's time for defenders to harness this powerful technology for good. Meet Sysdig Sage, the first AI cloud security analyst capable of multistep reasoning. Sysdig Sage goes beyond simple summarisation. It is context-aware. It is able to control the UI and move you across the platform. With Sysdig Sage on your side, investigating threats in real time is easier than ever.

Data Security Posture Management: Enhancing Data Visibility and Control to Safeguard Cloud Native Applications

Wednesday, Jul 31st, 2024 Data breaches are a constant threat in today’s cybersecurity landscape, putting organizations’ sensitive information at risk. As businesses move to cloud-native environments, securing data becomes even more crucial. Data Security Posture Management (DSPM) is a proactive approach that helps organizations manage and protect their data assets.

Preventing Data Breaches in User-Developed AI Applications on Low-Code Platforms

As more and more companies adopt low-code platforms and launch AI applications, the need for proper data security has never been greater. While it’s true that low-code platforms give users the freedom to develop powerful AI solutions with minimal programming knowledge or experience, this same level of flexibility also inadvertently exposes applications to potential data breaches.