Stairwell uses Anthropic's Claude to analyze and summarize complex security data, helping protect companies from sophisticated cybersecurity threats. Claude's large context window allows Stairwell to process security data with over 40,000 characters and its ability to understand technical data without extensive prompt engineering enables Stairwell to convert technical security findings into clear, actionable insights for security teams of all experience levels.

Mia Labs built its conversational AI assistant, Mia, on Microsoft Azure using Azure OpenAI Service and secured its AI workloads with Microsoft Defender for Cloud. They implemented advanced threat intelligence through contextual security posture management and runtime alerts, enabling quick detection and mitigation of jailbreak attempts while protecting sensitive dealership interactions. This integration streamlined security processes and eliminated the need for costly IT audits.

Credem Bank launched the AI Next project to integrate AI into its banking operations by leveraging Google Cloud’s integrated ecosystem for predictive maintenance, fraud detection, IT optimization, and enhanced online security. The bank further established the Officine Credem Project as a collaborative hub with startups, universities, and partners to develop innovative products and streamline customer service and internal workflows.

Lytehouse implemented an AI-based video intelligence system that transforms live CCTV feeds into actionable workplace safety insights by leveraging advanced computer vision, machine learning algorithms, and generative AI agents. They integrated large language models to enable natural language queries and collaborated with Google Cloud via the Vertex AI platform to deploy customized security agents that automate risk detection and alert workflows across existing camera networks.

Implemented Microsoft Sentinel with integrated Copilot for Security to streamline threat detection, automate KQL script generation, and enhance incident reporting.

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.

Agnostic Intelligence leveraged Microsoft Azure OpenAI Service and Azure Cognitive Services to build an AI-driven platform that delivers real-time insights for supply chain risk management. They integrated advanced machine learning and AI analytics to replace manual Excel questionnaires and lengthy email communications, streamlining risk assessments and compliance processes. The solution connected disparate systems via a digital control tower, enabling IT managers to focus on innovation and quality assurance.

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.

Pacífico Seguros deployed Microsoft Copilot for Security as part of a comprehensive Zero Trust and XDR framework, integrating advanced generative AI to automate threat detection and incident response workflows. In collaboration with TC1 Labs, they unified disparate security systems and modernized CyberSOC operations by replacing legacy on-premises EDR technologies with cloud-based, agentless solutions. The implementation involved integrating risk-based access management, automated device provisioning, and real-time telemetry to streamline security monitoring and compliance with FFIEC standards.

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.