All news with #gemini tag

🔒 Security leaders are balancing safe AI adoption with operational gains and focusing on five practical use cases where AI can improve security outcomes. Organizations are connecting LLMs to internal telemetry via standards like MCP, using agents and models such as Claude, Gemini and GPT-4o to automate threat hunting, translate technical metrics for executives, assess vendor and internal risk, and streamline Tier‑1 SOC work. Early deployments report time savings, clearer executive reporting and reduced analyst fatigue, but require robust guardrails, validation and feedback loops to ensure accuracy and trust.

🛒 Google Cloud announced general availability of the Conversational Commerce agent on Vertex AI, a shopping-focused conversational assistant designed to guide customers from intent to purchase. The agent uses Gemini to interpret complex queries, supports context retention across sessions and devices, and offers administrative controls to boost, bury, or restrict products. Albertsons Cos. reports increased basket size in early use. Onboarding is presented as quick with minimal development effort via the Vertex AI console.

🔒 Google Cloud and its partners announced a range of partner-built AI security solutions now available in the Google Cloud Marketplace. These integrations embed Gemini and Vertex AI into partner products — including CrowdStrike, Palo Alto Networks, Fortinet, and others — to protect models, data, applications, and agents. The collaborations emphasize automated detection, incident response, DLP, identity protection, and agent monitoring to reduce mean time to detect and respond, helping customers adopt AI securely.

🛡️ The Agentic SOC Workshop is a complimentary, half-day event series from Google Cloud designed to help security professionals apply agentic AI and cloud-native threat intelligence to real-world operations. Attendees will participate in hands-on labs, a Capture the Flag challenge, and peer networking to learn how Gemini and Google Cloud tools can reduce alert fatigue and automate routine workflows. Sessions start in Los Angeles on Sept. 17 and Chicago on Sept. 19, with additional dates in October.

🎖️ Google Public Sector is opening registration for a no-cost, three-week virtual program, Google Launchpad for Veterans, offering foundational generative AI training and a path to the Gen AI Leader certification. The Gen AI Leader training includes a two-day kickoff on November 13–14, optional exam prep sessions, and a complimentary exam voucher. Participants will learn core LLM concepts, how to navigate the AI ecosystem, and practical business applications using Gemini and NotebookLM to drive organizational transformation.

🛠️ In Episode #6 of the Agent Factory podcast, Keith Ballinger discusses how AI agents and the Gemini CLI are reshaping software development and elevating developers into orchestration and context engineering roles. He demonstrates 'vibe coding' with live demos that produced a command-line markdown viewer in under 15 minutes and highlights open-source projects Terminus and Aether as practical examples. The episode also addresses infrastructure for AI workloads, multi-cloud and edge orchestration, and the growing need for human review in regulated industries.

🔐 New research demonstrates practical, dangerous promptware attacks that exploit common interactions—calendar invites, emails, and shared documents—to manipulate LLM-powered assistants. The paper Invitation Is All You Need! evaluates 14 attack scenarios against Gemini-powered assistants and introduces a TARA framework to quantify risk. The authors reported 73% of identified threats as High-Critical and disclosed findings to Google, which deployed mitigations. Attacks include context and memory poisoning, tool misuse, automatic agent/app invocation, and on-device lateral movement affecting smart-home and device control.

🧠 In episode 66 of The AI Fix, hosts Graham Cluley and Mark Stockley walk listeners through a rapid-fire roundup of recent AI developments, from a ChatGPT prompt that produced an inaccurate anatomy diagram to a controversial Stanford sushi hackathon. They cover a Google Gemini bug that generated self-deprecating responses, criticisms that gave DeepSeek poor marks on existential-risk mitigation, and a debunked pregnancy-robot story. The episode also celebrates a genuine scientific advance: a team of AI agents that designed novel COVID-19 nanobodies, and considers how unusual collaborations and growing safety work could change the broader AI risk landscape.