Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Vanta Introduces EU AI Act Support for the Ethical Development and Use of AI in Europe

Providing European companies with support for local regulations and security best practices including the Digital Operational Resilience Act (DORA) and NIS 2. Accelerating European momentum with product enhancements and London office.

Augment SOC Analysts with AI: 3 Key Use Cases

Despite the rapid evolution of security technologies, many SOCs are still weighed down by manual processes and outdated tools. Analysts are burdened with repetitive tasks, inefficient workflows, and disjointed incident response mechanisms. This broken system is leaving SOCs reacting to incidents instead of preventing them. There’s a better way forward.

How Generative AI is Transforming Application Security

Application security has transformed from being an afterthought to a central focus as threats have evolved. What was once about securing code has expanded to protecting the entire application lifecycle. The rise of cloud-native architectures, microservices, and APIs has broadened the attack surface, requiring security teams to rethink their approaches.

Find, auto-fix, and prioritize intelligently, with Snyk's AI-powered code security tools

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).

How Parking Technology Enhances Cybersecurity

Parking lots are a staple of our daily routines - whether we're shopping, working, or visiting. This is where we spend considerable amounts of time surrounded by cars and people. Given the high foot traffic and density of vehicles, enhancing the safety and security of these spaces is crucial for businesses looking to create a secure and enjoyable experience for their customers. Here, technology plays a pivotal role in supporting this endeavor, offering solutions that enhance safety, privacy, and cybersecurity.

LLM Prompt Injection 101

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.