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When User Input Lines Are Blurred: Indirect Prompt Injection Attack Vulnerabilities in AI LLMs

It was a cold and wet Thursday morning, sometime in early 2006. There I was sitting at the very top back row of an awe-inspiring lecture theatre inside Royal Holloway's Founder’s Building in Egham, Surrey (UK) while studying for my MSc in Information Security. Back then, the lecture in progress was from the software security module. The first rule of software security back then was never to trust user inputs.

Turning Security Insights into Action with Bitsight's New Jira Integration

Enterprise security is a job that is never truly done. Success comes down to prioritizing high-impact activities, executing them efficiently, and adapting as new information emerges. Bitsight Security Performance Management (SPM) is the centerpiece of this lifecycle for many organizations. It helps security teams understand their external attack surface in detail and make data-driven decisions about how to apply their limited resources most effectively.

181 Key Cybersecurity Statistics: Vulnerabilities, Exploits, and Their Impact for 2025

As we enter 2025, the cybersecurity statistics from 2024 and previous years reveal a critical landscape of evolving threats, from a surge in vulnerabilities to increasingly sophisticated cyber-attacks. This blog delves into the latest cybersecurity data, exploring trends like zero-day exploits, and unpatched vulnerabilities, to help you craft a proactive strategy for 2025 cybersecurity challenges.

ByteCodeLLM - Privacy in the LLM Era: Byte Code to Source Code

ByteCodeLLM is a new open-source tool that harnesses the power of Local Large Language Models (LLMs) to decompile Python executables. Furthermore, and importantly, it prioritizes data privacy by using a local LLM that you can run under any environment, like old laptops and VMs. ByteCodeLLM is the first decompile program that manages to decompile the latest versions of Python 3.13 locally.

'Tis the Season for Artificial Intelligence-Generated Fraud Messages

The FBI issued an advisory on December 3rd warning the public of how threat actors use generative AI to more quickly and efficiently create messaging to defraud their victims, echoing earlier warnings issued by Trustwave SpiderLabs. The FBI noted that publicly available tools assist criminals with content creation and can correct human errors that might otherwise serve as warning signs of fraud.

Part of the AWS EDP program? Burn down your commit with 11:11 Systems.

If you’re part of Amazon Web Services Enterprise Discount Program (AWS EDP), we can help you make the most of your EDP commitment. That’s because you can burn down some of the amount you’ve committed to spend by leveraging 11:11 solutions and services.

Cato Networks Expands Platform to Deliver the Industry's First SASE-native IoT/OT Security Solution

Today, Cato Networks introduced Cato IoT/OT Security, the industry’s first SASE-native IoT/OT security solution. Cato IoT/OT Security extends SASE-based protection into IoT/OT environments, improving visibility and security while reducing complexity. Cato IoT/OT Security is a native feature in the Cato SASE Cloud Platform. It allows enterprises to instantly activate the new solution with a click of a button. No additional hardware or software needs to be installed or configured.

Cloud Logs: The Unsung Heroes of Detection and Response

Cyberattackers are exploring stealthier and more sophisticated methods to infiltrate cloud environments. From exploiting misconfigurations to leveraging stolen credentials, adversaries are skilled at evading detection. Cloud logs are invaluable in helping organizations identify potential threats before they can cause damage.

Arctic Wolf Labs Observes Threat Campaign Targeting Cleo MFT Products - Remediation Guidance

Update: Dec 11, 2024. Find the latest information in our follow-up security bulletin. On December 7, 2024, Arctic Wolf began observing a novel campaign exploiting Cleo Managed File Transfer (MFT) products across several customer environments. Initial indications of malicious activity in this campaign were identified as early as October 19, with a sharp increase in early December.