AI Infrastructure Investment and Ethical Certification
IAS is heavily investing in AI infrastructure to anticipate customer needs and drive demand in the AI landscape, with a focus on innovation and efficiency.
The company has achieved a significant milestone by receiving the first ethical AI certification from the Alliance for Audited Media, highlighting its commitment to responsible AI use.
Management emphasized that AI advancements, including faster labeling (29x speed increase) and processing (50 years of video content daily), position IAS as an industry leader in ethical and high-performance AI applications.
Expansion of Exposure Management Platform and AI Integration Post-Apex Acquisition
Tenable's exposure management platform, Tenable One, now accounts for 40% of total new sales, with a focus on unifying visibility, insight, and action.
The recent acquisition of Apex Security, closed on June 6, enhances AI-aware and AI security posture management capabilities, securing the rapidly expanding AI attack surface.
AI integration is a strategic focus, with Apex's capabilities accelerating AI security, including monitoring AI prompts, vulnerabilities, and data configurations.
Management emphasizes embedding AI into the platform for comprehensive AI security, with early signs of strong customer demand and pipeline growth.
The number of AI native customers is growing significantly, with over a dozen spending over $1 million annually and more than 80 spending over $100,000.
AI native cohort contributed 10 points of YoY revenue growth in Q2, up from 6 points last quarter and 2 points a year ago.
Management views AI as a long-term secular growth driver, with hundreds of customers in this cohort and rising interest in next-gen AI observability and analysis.
The company sees AI as a tailwind due to increased cloud consumption and is expanding AI integrations, GPU monitoring, LLM observability, and AI agent monitoring.
Datadog launched Bits AI security and noise, fully autonomous AI agents, and AI voice incident response, emphasizing their focus on AI-driven automation.
Management expects AI to introduce new complexity and observability challenges, which their products aim to address, including GPU and LLM monitoring.
The growth in AI native customers is seen as an indicator of broader AI adoption across industries, with the company preparing for a future where AI workloads are more prevalent.
Dafinchi