As developers increasingly adopt chain-based and agentic LLM application architectures, the threat of critical sensitive data exposures grows. LLMs are often highly privileged within their applications and related infrastructure, with access to critical data and resources, making them an alluring target for exploitation at the client side by attackers. In particular, LLM applications can be compromised to expose sensitive data via prompt injection attacks.

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Hacktivism – the practice of carrying out cyberattacks to advance political or social goals – is not new. Hacktivist attacks go as far back as the 1980s. Yet today’s hacktivists often look and operate in ways that are markedly different from their predecessors. They’ve embraced new techniques, they often have more resources at their disposal and they can prove more challenging to stop.

The National Institute of Standards and Technology (NIST) has released version 2.0 of its Cyber security Framework (CSF), significantly elevating cyber security guidelines. This update brings in major changes that will affect several actors like Chief Information Security Officers (CISOs), Managed Security Service Providers (MSSPs), and individual users, among others.

Go developers might need to use system commands for various scenarios, such as image manipulation, where they need to process or resize images or execute system commands to manage resources or gather metrics or logs. At other times, perhaps you are building a new system in Go that needs to interface with existing legacy systems. This interface leans on executing system commands and processing their output.

Data-handling platforms such as Azure DevOps are often relied on by many different modern organizations, therefore it is important to secure such environments. These widely used platforms simplify DevOps processes like project management and the work of developers. However, there is a downside, the rise of technology brings an increased risk of cyber attacks.

Application Security Posture Management (ASPM) emerged to address gaps in traditional application and cloud security scanners – like SAST, SCA, secrets detection, IaC scanning, CSPM, and many others – that generate noisy alerts and silo security insights across various tools. By providing a consolidated view of product security risks that are prioritized according to their business and runtime context, ASPM helps security teams understand which issues truly matter.

Multi-step reasoning is a concept that is taught in grade school math class, but it applies far beyond mathematical calculations and word problems. It is the process of solving a problem requiring multiple individual calculations or steps in order to reach the final answer. Multi-step reasoning requires sequencing, logic, and sometimes prior knowledge or inference.

It’s not that often that a story about a Joiner-Mover-Leaver (JML) failure makes the international news. But throw in an insider threat actor making potentially life threatening changes to the impacted systems and it becomes quite the doozy. Especially when the company at the center of the story is Disney.

Today, we’re excited to announce that Fireblocks has expanded our blockchain support with the addition of Unichain – a Superchain L2 built by Uniswap Labs that’s designed to be the home for DeFi and liquidity across chains. At Fireblocks, we are committed to continually delivering the fastest blockchain support and building secure solutions to access and trade across DeFi platforms.