Prompt injection attacks exploit vulnerabilities in natural language processing (NLP) models by manipulating the input to influence the model’s behavior. Common prompt injection attack patterns include: 1. Direct Command Injection: Crafting inputs that directly give the model a command, attempting to hijack the intended instruction. 2. Instruction Reversal: Adding instructions that tell the model to ignore or reverse previous commands. 3.

The automotive industry is at a unique inflection point in its history with the advent of the Software Defined Vehicle (SDV). During the Society of Automotive Engineers (SAE) World Congress held in Detroit April 16th - 18th, 2024, it was explicitly stated there is more than a $500 billion market that will see investment in R&D and technological advancements for the automotive industry.

The rise of the Internet of Things (IoT) and Operational Technology (OT) devices is reshaping industries, accelerating innovation and driving new efficiencies. However, as organizations increasingly depend on these devices, the security challenges associated with them are mounting. Traditional security measures often fall short in protecting these critical assets from cyberthreats, leaving organizations vulnerable to potentially severe disruptions.

API security has become a critical focus for organizations in the technology sector as the reliance on APIs (Application Programming Interfaces) continues to grow rapidly. APIs are the foundation of modern applications, facilitating communication between software systems, integrating services, and driving innovation. However, as the use of APIs expands, so do the associated security risks.

From April to September 2024, Netskope Threat Labs tracked a 10-fold increase in traffic to phishing pages crafted through Webflow. The campaigns target sensitive information from different crypto wallets, including Coinbase, MetaMask, Phantom, Trezor, and Bitbuy, as well as login credentials for multiple company webmail platforms, as well as Microsoft365 login credentials.

The way in which we interact with applications has changed dramatically over the years. Enterprises use applications in day-to-day operations to manage their most sensitive data and control access to system resources. Instead of traversing a labyrinth of networks and systems, attackers today see an opening to turn an organization's application against it to bypass network security controls and compromise sensitive data.

DDoS attacks have become an annoyance most companies assume they may have to deal with at some point. While frustrating, minor website disruptions from small-scale hacktivist campaigns rarely create substantial business impacts. However, a particularly insidious DDoS spinoff has emerged over the past decade – one aimed at blackmail. This evolutionary milestone stems from what's called Ransom DDoS (RDDoS), likely one of the most outrageous cybercrime weapons targeting businesses globally since 2015.

Our always-on DDoS protection runs inside every server across our global network. It constantly analyzes incoming traffic, looking for signals associated with previously identified DDoS attacks. We dynamically create fingerprints to flag malicious traffic, which is dropped when detected in high enough volume — so it never reaches its destination — keeping customer websites online. In many cases, flagging bad traffic can be straightforward.

Privilege Access Management (PAM) controls access to privileged accounts, a key step in securing sensitive data and systems. Discover what PAM is, why you need it, and how to implement it effectively.