The legal department plays a crucial role in enhancing enterprise security profiles. Historically, legal and cybersecurity departments have been siloed from one another in organizations both large and small. With security now a concern at the Board level, legal’s role in enterprise risk management – advising on threats and potential liability – must include the impact of data security threats.

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.

Enterprise applications, whether on-premise or in the cloud, access LLMs via APIs hosted in public clouds. These applications might be used for content generation, summarization, data analysis, or a plethora of other tasks. Riscosity’s data flow posture management platform protects sensitive data that would otherwise be accessible to LLM integrations.

India's Securities and Exchange Board (SEBI) has introduced a new regulatory framework called the Cyber Security and Cyber Resilience Framework (CSCRF). The regulation aims to tighten cybersecurity and data governance for capital market participants. As cyber threats increase globally, the CSCRF is poised to create a stronger defense line for organizations operating in India’s capital markets.

Clients can empower their employees to securely leverage any browser-based AI tool. The Riscosity browser extension will scan and block prompts with sensitive information in real time. Admins can use the intuitive Riscosity dashboard to set RBAC rules and keep a pulse on any AI tools being used – including any attempts to share sensitive information. The bottom line… we’re providing an AI firewall for your company, without the headaches of difficult deployment.

Saudi Arabia's Personal Data Protection Law (PDPL), enacted in 2021, marks a significant step in regulating the processing of personal data in the Kingdom. The PDPL aims to protect individuals' privacy by setting out clear rules on how personal data can be collected, processed, stored, and shared. As more businesses undergo digital transformations, the PDPL holds companies accountable for safeguarding data and ensuring transparency in their handling of personal information.

Corporate boards are tasked with ensuring that sensitive information—ranging from intellectual property (IP) and end-user information to sales statistics—is handled securely. As data becomes an ever-more valuable asset, so too do the risks associated with mismanagement.