At the recent Cloud Next event in Las Vegas, Google unveiled a suite of generative artificial intelligence tools designed to enhance geospatial analysis and visualization. These innovations aim to provide urban planners, filmmakers, and large-scale enterprises with advanced capabilities for manipulating and interpreting environmental data. The centerpiece of this update is Maps Imagery Grounding, a…
TrojAI has extended its platform for securing artificial intelligence (AI) applications, tools and platforms to now include a red teaming capability that is performed by AI agents that have been specifically trained to perform that task. Additionally, the company has extended its firewall for AI to now include an instance of AI coding assistants, while…
In recent years, privacy-focused mobile apps have surged in popularity. Tools like Shelter and similar containerization platforms promise users greater control over their personal data by creating isolated or hidden environments on their devices. For individual consumers, that sounds like a win. For enterprises, however, these tools introduce a new and largely unrecognized risk: the…
1. Why can’t existing monitoring tools handle AI-generated code on their own? Traditional tools assume slower, human-driven changes. AI increases code volume and speed, which means issues appear differently and require more context-aware, change-linked monitoring. 2. Is AI-generated code more dangerous than human-written code? Not inherently. The risk comes from scale and speed. Small mistakes…
Leveraging generative AI and machine learning can offer huge productivity gains – even for organizations handling sensitive Controlled Unclassified Information (CUI) and Federal Contract Information (FCI). However, embedding AI into processes in a CMMC Level 2 environment introduces new risks that must be managed carefully to remain compliant. CMMC 2.0 Level 2 requires full implementation of NIST…
