Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

On October 23, 2024, Fortinet published an advisory disclosing an actively exploited vulnerability (CVE-2024-47575) affecting FortiManager and FortiManager Cloud. The critical-severity vulnerability can be exploited on FortiManager instances exposed to the internet via port 541. Successful exploitation could allow a remote, unauthenticated threat actor to execute arbitrary code or commands via specially crafted requests.

During the long-awaited Snyk Launch 2024, we announced the exciting general availability of Snyk Code's auto-fixing feature, DeepCode AI Fix, powered by our AI machine, DeepCode AI! To celebrate this milestone, let’s explore how Snyk’s AI-powered features differentiate our approach to application security. AI is on everyone's minds, along with its countless applications that offer a wide variety of solutions (and issues).

Managing compliance in federal IT is a critical and complex task, especially when it comes to addressing findings from security assessments. One of the key tools to bridge the gap between requirements and the current state is the Plan of Action and Milestones (POA&M). Required by federal security frameworks like the Federal Information Security Modernization Act (FISMA) and NIST 800-53, POA&Ms are used to document security weaknesses, outline mitigation plans, and track their resolution.

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.

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 typical workplace of the information age is no longer an office cubicle with a desktop PC. It’s an airplane seat, a comfy cafe chair, and a kitchen table — and it may not even have a company-issued device at its center. Research shows the productivity gains made possible by the growth of bring-your-own-device (BYOD) policies. Yet empowering employees to do their best work wherever they are and with whatever devices they have at their disposal also comes with risks.

As apps become more complex and development speeds up with DevOps, cloud-native tech, and AI, having a comprehensive approach to managing application risk is more important than ever. Traditional methods just aren’t cutting it anymore. Security teams are overwhelmed by vulnerabilities, and developers aren’t getting the guidance they need on what to focus on first. This gap between security and development is leaving apps more vulnerable.