Explore how companies use AI {agent type}
Palo Alto Networks is using Gemini to create a grounded AI assistant for 24/7 security platform support to improve agent efficiency and response time.
Fiserv, a developer of financial services technology, can now summarize threats, find answers, and detect, validate, and respond to security events faster with the Gemini in Security Operations platform.
NetRise developed Trace to provide software supply chain security by introducing AI-powered intent-driven searches, allowing users to search their assets based on the underlying motives or purposes behind the code and configurations rather than solely relying on signature-based methods.
Exabeam has built a generative AI copilot for security analysts into its New-Scale Security Operations Platform.
Apex Fintech is using Gemini in Security to accelerate the writing of complex threat detections.
Roche, one of the world's largest biotech companies, uses AI Classification in Google Drive to automate the labeling and classification of millions of files. By implementing AI-powered data labeling, Roche enhances data security, standardizes the labeling process, reduces manual workload, and empowers security teams to implement more effective controls.
Amazon uses Anthropic's Claude with Amazon Bedrock to detect exaggerated claims in AWS Marketplace product listings, and is extending the AI to help partners improve listings through self-service. Additionally, auto-validations using Claude for product publishing have reduced publishing times from weeks to under an hour.
Behavox is using Google Cloud technology and LLMs to provide industry leading regulatory compliance and front office solutions for financial institutions globally.
Pfizer can now aggregate cybersecurity data sources, cutting analysis times from days to seconds.
Charles Schwab has integrated their own intelligence into the AI-powered Google SecOps, so analysts can better prioritize work and respond to threats.
Fiserv security operations engineers create detections and playbooks with much less effort, while analysts get answers more quickly.
Palo Alto Networks’ Cortex XSIAM, the AI-driven security operations platform, is built on more than a decade of expertise in machine-learning models and the most comprehensive, rich, and diverse data store in the industry. Backed by Google's advanced cloud infrastructure and advanced AI services, including BigQuery and Gemini models, the combination delivers global scale and near real-time protection across all cybersecurity offerings.
Grupo Boticário, one of the largest beauty retail and cosmetics companies in Brazil, employs real-time security models to prevent fraud and to detect and respond to issues.
BBVA uses AI in Google SecOps to detect, investigate, and respond to security threats with more accuracy, speed, and scale. The platform now surfaces critical security data in seconds, when it previously took minutes or even hours, and delivers highly automated responses.
Netsafe, a nonprofit organization, uses Meta Llama models to develop a robust redaction tool for harmful digital communications. The tool employs a tuned LLM and the AI4Privacy dataset to automatically redact sensitive information, facilitating faster and more effective harm resolution. Netsafe's data pipeline, built on Dagster, Postgres, and BigQuery, sources, redacts, and aggregates data from various channels, reducing victim impact and augmenting the skills of Digital Harm Resolution Officers.