Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing LLM-Powered Applications: A Comprehensive Approach

Large language models (LLMs) have transformed various industries by enabling advanced natural language processing, understanding, and generation capabilities. From virtual assistants and chatbots to automated content creation and translation services, securing LLM applications is now integral to business operations and customer interactions. However, as adoption grows, so do security risks, necessitating robust LLM application security strategies to safeguard these powerful AI systems.

Is DeepSeek's Latest Open-source R1 Model Secure?

DeepSeek’s latest large language models (LLMs), DeepSeek-V3 and DeepSeek-R1, have captured global attention for their advanced capabilities, cost-efficient development, and open-source accessibility. These innovations have the potential to be transformative, empowering organizations to seamlessly integrate LLM-based solutions into their products. However, the open-source release of such powerful models also raises critical concerns about potential misuse, which must be carefully addressed.

DeepSeek-V3: The AI Beast with 671 Billion Parameters - Game Changer or Privacy Nightmare?

Executive Summary DeepSeek is one of the biggest AI-based systems that originated in China, some serious cyberattacks recently disrupted its services, especially affecting new user registrations. It is not yet clear how it has been done. However, based on analysis and experience, people believe it was a Distributed Denial of Service (DDoS) attack against the system, as a DDoS attack simply sends too much traffic to any given system that causes downtime.

Analyzing DeepSeek's System Prompt: Jailbreaking Generative AI

DeepSeek, a disruptive new AI model from China, has shaken the market, sparking both excitement and controversy. While it has gained attention for its capabilities, it also raises pressing security concerns. Allegations have surfaced about its training data, with claims that it may have leveraged models like OpenAI’s to cut development costs. Amid these discussions, one critical aspect remains underexplored—the security of AI agents and the vulnerabilities that allow for jailbreaks.

5 Ways AI Helps Small Agencies Scale Efficiently and Affordably

There are always hurdles that should be considered before expanding an agency. Reaching a larger market is one of those, and it requires a bigger budget. Trying to grow always presented the same issue. Every time I wanted to scale up, I hit a wall because I did not have enough resources. It was quite a predicament. Does this ring a bell? There's some good news though - AI has leveled the playing field. Now, if you're a small agency wanting to step up your game, let me tell you some golden nuggets I've learned. Use these 5 tips if you're going to scale your business like I did.

Building AI and LLM Inference in Your Environment? Be Aware of These Five Challenges

Building AI and LLM inference and integrating it in your environment are major initiatives, and for many organizations, the most significant undertaking since cloud migration. As such, it’s crucial to begin the journey with a full understanding of the decisions to be made, the challenges to overcome, and the pitfalls to be avoided along the way.

API ThreatStats Report 2025: The Convergence of AI and API Security

This is it! The 2025 Annual API ThreatStats Report! The Wallarm Research team has collected and analyzed all the API threat data for 2024 and produced this annual report, shining a spotlight on the rising threat of API attacks targeting AI applications. The latest report explores the top API threats, identifies key trends, and provides actionable insights that can help you strengthen your API Security program, with an emphasis on identifying and protecting your AI applications from API security issues. This report includes an update to our dynamic API Security Top 10 as well. In this webinar, you will learn about.

Answers to FAQs About API Security with Wallarm #SQLInjection #APIAbuse #AttackExamples

Learn how Wallarm integrates with Kubernetes and psyllium for API security and observability using eBPF. Explore the differences between stateful and stateless attacks and real-world examples like SQL injections and API abuse. Discover why context is essential in defining attacks and how Wallarm adapts to various scenarios.