With proven real-life use cases, it’s a no-brainer that companies are looking for ways to integrate large language models (LLMs) into their existing offerings to generate content. A combination that’s often referred to as Generative AI, LLMs enable chat interfaces to have a human-like, complex conversation with customers and respond dynamically, saving you time and money. However, with all these new, exciting bits of technology come related security risks—some that can arise even at the moment of initial implementation.

Need for Secure LLM Deployments As businesses increasingly integrate AI-powered Large Language Models (LLMs) into their operations via GenAI (Generative AI) solutions, ensuring the security of these systems is on the top of everyone’s mind. "AI Red Teaming" (which is closer to Penetration Testing than a Red Team Assessment) is a methodology to identify vulnerabilities within GenAI deployments proactively. By leveraging industry-recognized frameworks, we can help your organization verify that your LLM infrastructure and execution is done securely.

ISO/IEC 42001:2023 has rapidly become the global standard for Artificial Intelligence (AI) governance. While it is a close cousin of ISO/IEC 27001:2022, ISO 42001—rather than focusing primarily on cyber and information security—takes a more holistic approach to risk management for AI systems.

Underscoring the firm's commitment to responsible AI, this accreditation enables Schellman to certify organizations against the first global AI standard of its kind

Did you recently implement a new artificial intelligence (AI) feature within your application and now your customers are starting to ask for AI-specific penetration tests? Are you curious as to how an assessment like that would work? As with all these exercises, it starts with scoping.

While the rapid pace at which artificial intelligence (AI) technology has been both developing and impacting several areas of our daily lives continues, so do the concerns about the tech’s safety, privacy, and bias. As there’s no stopping the ongoing integration of AI, organizations are now wondering what they can do to ease those concerns, and the answer is simple—start with protecting your data.

In January 2024, the AI Governance Alliance—an arm of the World Economic Forum (WEF)— released a series of three papers covering several important artificial intelligence (AI) topics:

Trying to keep up with the rapidly emerging and evolving governance of AI? Struggling to figure out how to address customer misgivings about your AI systems?