Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The rise of hybrid work has accelerated digital transformation for organizations of all sizes. As a result, more and more applications and data are moving to the cloud. While this has created a number of benefits — including cost savings, ease of access, and increased operational efficiencies — the cloud has also made it more challenging to protect sensitive data.

Multi-cloud environments are getting plenty of buzz in recent years. It’s no wonder, really, that increased flexibility, risk mitigation, performance optimization and compliance adherence associated with the practice have drawn in new muli-cloud evangelists across the industry. For all the great benefits multi-cloud offers, it does present one significant challenge: how do you ensure a single point of control while establishing consistent security policies for all users?

Threat actors are constantly looking for new ways or paths to achieve their goals, and the use of Artificial Intelligence (AI) is one of these novelties that could drastically change the underground ecosystem. The cybercrime community will see this new technology either as a business model (developers and sellers) or as products to perpetrate their attacks (buyers).

Fast, low-latency, high-capacity networks are needed in today's environment. However, these advanced networks face a significant challenge: combining speed, reliability, and flexibility with security. Until recently, much debate has been about which technology was better for protection purposes. There seemed to be a constant battle between users who saw more advantages in Wi-Fi 6 and users who preferred 5G networks.

APIs, formally known as application programming interfaces, occupy a significant position in modern software development. They revolutionized how web applications work by facilitating applications, containers, and microservices to exchange data and information smoothly. Developers can link APIs with multiple software or other internal systems that help businesses to interact with their clients and make informed decisions.

What do you know about how to use Google SIEM? You can read about implementing these managed security services into your company's network protocols.

The Sysdig Threat Research Team (Sysdig TRT) recently discovered a new Freejacking campaign abusing Google’s Vertex AI platform for cryptomining. Vertex AI is a SaaS, which makes it vulnerable to a number of attacks, such as Freejacking and account takeovers. Freejacking is the act of abusing free services, such as free trials, for financial gain. This freejacking campaign leverages free Coursera courses that provide the attacker with no-cost access to GCP and Vertex AI.

TL;DR - The future of finance is intertwined with artificial intelligence (AI), and according to SEC Chair Gary Gensler, it's not all positive. In fact, Gensler warns in a 2020 paper —when he was still at MIT—that AI could be at the heart of the next financial crisis, and regulators might be powerless to prevent it. AI's Black Box Dilemma: AI-powered "black box" trading algorithms are a significant concern.

Many API-related breaches do not result from sophisticated attackers or diligent security researchers but stem from improper API design and implementation. Recent incidents at Clubhouse, John Deere, and Experian serve as examples, highlighting the consequences of neglecting basic API security practices. To safeguard against security risks, comprehensive API security testing becomes essential, ensuring APIs align with published specifications and are resilient to malicious inputs and attacks.

AI applications are becoming a primary target for cyber threats due to their reliance on vast amounts of sensitive data. Traditional security measures often fall short in protecting AI-driven environments. A privacy vault is essential for securing AI data, ensuring that sensitive information is protected while enabling innovation. AI models depend on vast datasets for training and operation, but this dependency introduces critical security risks.