Steve is vice president of product marketing at Kentik. He brings over 25 years of experience leading and scaling product organizations across high-growth SaaS and enterprise technology companies, with deep expertise in IT service management, security, and observability. Steve has a strong track record of building customer-centric product cultures and driving AI-powered innovation to elevate product impact and team efficiency at companies such as Red Hat, Dell, SolarWinds, and Sumo Logic.
AI has quickly become part of the language of network observability. Many vendors across the observability landscape can describe, summarize, correlate, or explain some data or situation, leveraging basic LLM capabilities. At a distance, many of these offerings sound similar. They promise faster insight, efficient operations, and a more intelligent path through rising complexity. But the industry has reached a point where surface-level similarity is creating noise, not value. As agentic systems become more common, the industry needs a better definition of a quality solution to cut through the noise.
As cyberattacks evolve into “machine-speed” disruption campaigns that span cloud, identity, and network planes, traditional monitoring is no longer enough to protect modern enterprise infrastructure. Shifting to a network intelligence model, powered by real-time telemetry and AI-driven reasoning, enables security teams to detect weak signals and automate defenses before an incident becomes systemic.
The rise of autonomous AI attacks operating at machine speed demands that network security evolve beyond human capacity and manual processes. Kentik AI Advisor counters this threat by using AI for good, reasoning across full network context to proactively eliminate vulnerabilities and guide immediate, confident defense.
























