Generative AI

Application programming interfaces (APIs) are essential to how generative AI (GenAI) functions with agents (e.g., calling upon them for data). But the combination of API and …

92% of security leaders have concerns about the use of AI-generated code within their organization, according to Venafi. Tension between security and developer teams 83% of …

In this Help Net Security interview, Kristian Kamber, CEO at SplxAI, discusses how security challenges for GenAI differ from traditional software. Unlike predictable software, …

GenAI, deepfakes and cybercrime are critical threats putting intensifying pressures on businesses, according to Experian. Top online security concerns for consumers According …

GenAI adoption has reached a critical phase, with 67% of respondents reporting their organization is increasing its investment in GenAI due to strong value to date, according …

95% of cybersecurity experts express low confidence in GenAI security measures while red team data shows anyone can easily hack GenAI models, according to Lakera. Attack …

The rapid integration of AI and GenAI technologies creates a complex mix of challenges and opportunities for organizations. While the potential benefits are clear, many …

In this Help Net Security interview, Kojin Oshiba, co-founder of Robust Intelligence, discusses his journey from academic research to addressing AI security challenges in the …

In this Help Net Security video, Aaron Fulkerson, CEO of Opaque, discusses how the weaponization of generative AI (GenAI) has made existing data privacy practices (like …

Cloud GenAI workloads inherit pre-existing cloud security challenges, and security teams must proactively evolve innovative security countermeasures, including threat …

Regulated data (data that organizations have a legal duty to protect) makes up more than a third of the sensitive data being shared with GenAI applications—presenting a …

As GenAI models used for natural language processing, image generation, and other complex tasks often rely on large datasets that must be transmitted between distributed …