HUMAN Security Expands Agentic Visibility with Sightline Cyberfraud Defense for AI-Driven Digital Engagement
Brief news summary
HUMAN Security, Inc., a leader in Agentic Trust, has upgraded its Sightline Cyberfraud Defense platform to enhance Agentic Visibility for marketing and commerce teams. The update integrates AI-driven traffic insights with tools like Adobe Experience Platform, enabling organizations to better understand AI’s impact on digital engagement. As AI-powered search and autonomous agents transform customer interactions, traditional analytics struggle to capture these dynamics. HUMAN’s solution differentiates between human, bot, and AI agent behaviors, providing detailed insights into AI-driven user journeys. This allows teams to craft effective AI access policies and optimize strategies including large language model and answer engine optimization. By combining behavioral and network intelligence, Sightline creates a trust layer that supports both security and business growth. This advancement equips businesses to effectively manage AI’s expanding role in search, advertising, and commerce with improved visibility and control.NEW YORK, April 21, 2026 (GLOBE NEWSWIRE) — HUMAN Security, Inc. , a global leader in Agentic Trust—governing the interaction of humans, bots, and AI agents online—today announced the expansion of Agentic Visibility within its Sightline Cyberfraud Defense platform. This enhancement extends its benefits beyond security and fraud teams to marketing and commerce organizations, offering unprecedented insight into how AI is reshaping digital engagement. As an official Adobe technology partner, HUMAN integrates these Agentic Visibility insights directly into Adobe Experience Platform and other top analytics tools, embedding AI-driven traffic intelligence into everyday performance measurement and decision-making processes. With consumer behavior increasingly influenced by AI-powered search, assistants, and autonomous agents, organizations face the challenge of understanding how AI discovers, evaluates, and interacts with digital assets. AI activity—from crawlers and search agents to AI-driven clicks and emerging agentic commerce—is already transforming traffic, engagement, and conversions, often evading traditional analytics tools. HUMAN’s 2026 State of AI Report reveals that automation is increasing at eight times the rate of human traffic, pushing organizations to evolve beyond bot mitigation toward a trust framework that differentiates beneficial AI agents from inauthentic activity. HUMAN’s Sightline Cyberfraud Defense, designed for granular visibility into complex human and agent-driven digital interactions, now supports marketing, commerce, and digital experience teams. It enables identification and classification of agents by type and trust level, distinguishes agentic from human traffic, and provides insights into agent journeys—helping organizations safeguard brand signals and adapt to evolving AI engagement models influencing customer behavior. John Searby, Chief Strategy Officer at HUMAN Security, stated, “To compete in the AI-driven internet, organizations need visibility. Marketing and commerce teams must adapt to fundamental shifts in customer-brand interactions but lack the tools to fully understand these changes.
Sightline provides that transparency, enabling teams to craft policies, enforce controls, and seize AI-driven opportunities. ” Leveraging Sightline Cyberfraud Defense, HUMAN now empowers marketing and commerce teams to: - Measure AI-driven traffic and engagement on websites. - Precisely differentiate human, bot, and AI agent activity. - Understand AI systems’ access, interpretation, and interaction with digital content. - Develop policies to manage AI access—whether to allow, limit, block, or redirect it. - Optimize for AI-driven discovery and engagement via strategies like large language model (LLM) optimization, answer engine optimization (AEO), and agentic commerce. - Monitor agent-driven activities across key workflows, including product discovery, checkout, and loyalty programs. Unlike traditional analytics tools, which focus primarily on human users, HUMAN Sightline Cyberfraud Defense offers a specialized perspective on AI and automated interactions by leveraging deep behavioral, technical, and network intelligence to classify activities, assess trustworthiness, and deliver actionable insights across both human and AI-driven engagements. This expansion bridges the gap between security and growth teams, fostering a unified approach to managing digital engagement amid AI’s rapid transformation of search, advertising, and commerce. As AI continues reshaping the internet, the critical question is whether organizations can truly see its impact on their own digital ecosystems. HUMAN invites interested parties to start a free trial and receive a personalized Agentic Visibility Assessment to uncover what current analytics might be missing. About HUMAN HUMAN Security leads in Agentic Trust, guiding the interaction of humans, bots, and AI agents online. With over a decade of experience mitigating automated traffic risks at scale, HUMAN protects major brands, advertising platforms, and commerce networks. Today, it helps enterprises and digital ecosystems verify interactions and establish trust throughout the customer journey—from initial ad impression to final transaction. Powered by one of the world’s largest behavioral signal networks, HUMAN analyzes more than a quadrillion digital interactions annually to distinguish legitimate from fraudulent, abusive, or manipulative activity. HUMAN delivers a unified trust layer for the agentic era—bridging security, marketing, and media with shared visibility, governance, and confidence as humans and AI agents operate side by side. Learn more at humansecurity. com. Contact: Masha Krylova, Director of Communications press@humansecurity. com An accompanying photo is available at: https://www. globenewswire. com/NewsRoom/AttachmentNg/808b1042-ede0-49bf-8e38-bac9acb2a999
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HUMAN Security Expands Agentic Visibility with Sightline Cyberfraud Defense for AI-Driven Digital Engagement
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