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AI

Implications of AI in a modern defense strategy

In today's rapidly evolving landscape of cybersecurity, the integration of artificial intelligence (AI) presents both unprecedented opportunities and complex challenges. Understanding the implications of AI in modern defense strategies is paramount for organizations seeking to safeguard their digital assets against emerging threats. In this Q&A, Chas Clawson, Sumo Logic's Field CTO, Security, shares insights on defending against AI-enabled adversaries and how to integrate AI-driven technologies into security strategies and frameworks.

Outshift by Cisco | An Era of GenAI & Human Collaboration

AI is the key to unlocking the untapped potential within your organization. At Outshift, we invest in the future of GenAI, not as a tool that replaces human effort but as a transformative force that amplifies the creativity and ingenuity of people across your enterprise. We invite you to reimagine the role of GenAI in business. Thinking of it as a tool for connection, adaptation, and creativity - a tool with unprecedented efficiency and impact.

Enabling GenAI with AI-infused API Security

GenAI has the promise to transform companies, and introduce a lot of security risk. One of the main benefits of GenAI relates to the modernization of apps. Most companies are going through some type of app modernization. They are responding to the market by delivering better and better experiences to their customers. This is largely done through the experience people have with their apps. This ranges from banking to healthcare to travel and everywhere in between.

Building Generative AI Solutions At Egnyte

The rise of Generative AI models has sparked a transformative shift across industries, offering unprecedented capabilities in automating tasks, enhancing decision-making, and fostering innovation. As publicly available tools, these models promise a democratization of technology, suggesting that any company can leverage them to boost efficiency and creativity. However, the reality of integrating and optimizing these AI models for specific corporate needs is far from plug-and-play.

More accurate than GPT-4: How Snyk's CodeReduce improved the performance of other LLMs

Snyk has been a pioneer in AI-powered cybersecurity since the launch of Snyk Code in 2021, with the DeepCode AI engine bringing unmatched accuracy and speed to identifying security issues in the SAST space for the first time. Over the last 3 years, we have seen the rise of AI and LLMs, which Snyk has been at the forefront of with the introduction of new AI-based capabilities, such as DeepCode AI Fix, our vulnerability autofixing feature, or our third-party dependency reachability feature.

Ensuring Privacy in the Age of AI: Exploring Solutions for Data Security and Anonymity in AI

With the widespread use of AI technology, numerous AI models gather and process vast amounts of data, much of which comprises personal information utilized to offer personalized experiences. However, this abundance of data poses inherent risks, particularly in terms of privacy and security.

LLMjacking: Stolen Cloud Credentials Used in New AI Attack

The Sysdig Threat Research Team (TRT) recently observed a new attack that leveraged stolen cloud credentials in order to target ten cloud-hosted large language model (LLM) services, known as LLMjacking. The credentials were obtained from a popular target, a system running a vulnerable version of Laravel (CVE-2021-3129). Attacks against LLM-based Artificial Intelligence (AI) systems have been discussed often, but mostly around prompt abuse and altering training data.

Elastic and AWS deliver on AI-driven security analytics

Amazon Bedrock and Elastic’s Attack Discovery automate security analyst workflows As cyber threats grow increasingly sophisticated, the need for highly effective security measures becomes imperative. Traditional SIEMs aren’t equipped to address threats fast enough because they rely on too many manual and labor-intensive tasks. AI-driven security analytics from Elastic’s Search AI platform solves these challenges.