HUMAN Safety this week expanded its Agentic Visibility capabilities past cybersecurity and fraud groups to serve advertising and commerce organizations. The announcement, made on April 21, 2026, additionally confirmed that the corporate is delivering these insights natively inside Adobe Expertise Platform as an official Adobe know-how companion.
The transfer displays a rising hole between what AI site visitors is doing on the internet and what most advertising analytics instruments are constructed to measure. Based on HUMAN Safety’s 2026 State of AI Report, automation is now rising eight instances sooner than human site visitors. Most analytics platforms had been designed for a human-centric web and supply no structured view into how AI crawlers, search brokers, or agentic commerce flows work together with a model’s digital property.
What Agentic Visibility does
The expanded capabilities are delivered via HUMAN’s present Sightline Cyberfraud Protection platform. Initially constructed to present safety groups granular visibility into complicated digital interactions, Sightline is now prolonged to advertising, commerce, and digital expertise capabilities. The system identifies agent exercise, classifies brokers by sort and belief degree, and distinguishes between human and agentic site visitors throughout the total buyer journey.
Particularly, in response to the announcement, advertising and commerce groups can now use Sightline to measure AI-driven site visitors and engagement throughout web sites, differentiate between human, bot, and AI agent exercise with excessive precision, and perceive how AI techniques entry, interpret, and work together with digital content material. Groups can even develop insurance policies and controls to handle AI entry – whether or not to permit, restrict, block, or redirect that exercise. Further capabilities embody optimization for AI-driven discovery and engagement, overlaying methods resembling LLM optimization, reply engine optimization (AEO), and rising agentic commerce patterns. Visibility into agent-driven exercise extends to key workflows together with product discovery, checkout, and loyalty applications.
This isn’t a slim safety product being rebranded. The platform leverages deep behavioral, technical, and community intelligence to categorise interactions, assess belief ranges, and produce actionable insights about each human and non-human engagement. The excellence between a official AI purchasing agent performing on behalf of a shopper, a scraper harvesting pricing knowledge, and a human searching a product web page is strictly the type of classification that conventional analytics platforms weren’t constructed to make.
The numbers behind the announcement
The info that frames this growth is substantial. Based on HUMAN Safety’s 2026 State of AI Report, launched on April 9, 2026, automation is rising eight instances sooner than human site visitors. Individually, Adobe launched knowledge at its Adobe Summit occasion on April 20, 2026, exhibiting that AI site visitors to U.S. retail websites surged 269% yr over yr in March 2026 alone. Gartner tasks that AI brokers may drive 80% of web site visitors by 2035, which might make the present visibility hole not a future concern however an accelerating current one.
These figures don’t seem in isolation. As PPC Land has documented, AI bot traffic to retail websites grew 5.4 times during 2025, in response to Botify evaluation printed in a March 2026 report. OpenAI alone generates roughly one web site go to for each 198 crawls – a ratio that stands in sharp distinction to Google’s one go to per six crawls. That asymmetry issues enormously for advertising groups attempting to know site visitors high quality and attribution. During Super Bowl LX in February 2026, HUMAN Security tracked a 5% rise in AI agent activity alongside 74 million blocked retail scraping assaults, underscoring how rapidly automated exercise can focus round particular moments.
The issue is compounded by the truth that conventional analytics instruments floor nearly none of this. When an AI agent crawls a product catalogue, evaluates pricing, or interacts with a checkout circulate, these interactions might seem in server logs however supply little structured sign inside normal advertising dashboards. The conversion path will get obscured. Attribution fashions constructed round human searching periods don’t map cleanly onto agentic conduct, which might contain dozens of interactions earlier than any human ever touches the acquisition.
The Adobe integration
The choice to embed Agentic Visibility inside Adobe Expertise Platform is important by itself. Adobe is among the many dominant infrastructure suppliers for enterprise advertising, analytics, and buyer knowledge administration. Delivering this intelligence as a local a part of how advertising groups already measure efficiency – reasonably than as a separate safety instrument requiring a separate login and workflow – removes a structural barrier to adoption.
Adobe announced the general availability of its Experience Platform Agent Orchestrator in September 2025, establishing a framework for managing brokers from Adobe and third-party ecosystems inside its platform. HUMAN’s integration slots into that structure, bringing bot and agent classification knowledge into the identical atmosphere the place entrepreneurs already analyze buyer journeys. As PPC Land has tracked, the broader ad tech industry’s infrastructure push around AI agentsaccelerated sharply in late 2025, with Amazon, Google, and the IAB Tech Lab every releasing agent-related instruments inside the identical week in November.
The HUMAN-Adobe partnership extends that infrastructure push into the measurement layer. Organizations that already use Adobe Expertise Platform for viewers administration, journey orchestration, or efficiency analytics can now see AI-driven site visitors alongside their present human-traffic knowledge, inside the identical interface.
Agentic Belief as an rising self-discipline
HUMAN Safety describes itself as the worldwide chief in Agentic Belief – a time period the corporate makes use of to explain the rising self-discipline that informs and governs how people, bots, and AI brokers function on-line. The idea sits on the intersection of cybersecurity, knowledge governance, and advertising operations. The corporate has specialised in understanding and mitigating automated site visitors threat for greater than a decade, defending what it describes because the world’s largest manufacturers, promoting platforms, and commerce networks.
Based on John Searby, Chief Technique Officer at HUMAN Safety, “Advertising and commerce groups are being requested to adapt to a elementary shift in how clients uncover and work together with manufacturers, however they lack the instruments to see what’s truly taking place. Sightline adjustments that. It provides groups a transparent view of AI-driven exercise to allow them to develop their insurance policies, implement controls, and absolutely take part within the alternatives created by AI.”
The framing right here is deliberate. The corporate will not be positioning this as a defensive product. The emphasis on “alternatives created by AI” alerts that Agentic Visibility is being provided as a development instrument as a lot as a threat administration one. Advertising groups that may see the place AI brokers are partaking with their model property – which merchandise are being found, how AI techniques symbolize pricing, which content material codecs AI crawlers can truly parse – acquire data they will act on commercially.
Why this issues for advertising measurement
The underlying technical downside will not be trivial. AI brokers don’t behave like human browsers. They could not execute JavaScript. They typically entry structured knowledge endpoints reasonably than rendered pages. Their interplay patterns differ from human periods in timing, sequencing, and depth. When these interactions seem in analytics instruments in any respect, they typically seem as bot site visitors to be filtered out – eradicating sign that may very well be commercially related.
Microsoft Clarity launched Bot Activity tracking in January 2026, giving web site operators a view into which AI techniques are crawling their properties. That transfer addressed the identification downside on the infrastructure degree. HUMAN’s Sightline goes additional by classifying brokers by sort and belief degree and connecting that classification to advertising workflows inside platforms like Adobe Expertise Platform. The objective is not only to know {that a} bot visited – it’s to know what sort of agent it was, what it did, and what meaning for engagement technique.
The measurement problem is particularly acute in e-commerce. Product discovery, value comparability, and checkout initiation more and more occur inside AI interfaces earlier than a shopper ever visits a retailer’s web site. If a shopper makes use of an AI assistant to analysis a product, obtain a advice, after which full a purchase order – the retailer’s analytics might present solely the ultimate transaction, with no visibility into the sooner agentic exercise that formed the choice. HUMAN’s expanded platform is designed to floor that earlier layer.
This connects to a broader set of rising optimization disciplines. LLM optimization and reply engine optimization are growing as structured practices to make model content material extra accessible and precisely represented inside AI techniques. These practices require understanding how AI brokers presently work together with a model’s digital properties – which is exactly the information hole that Agentic Visibility targets.
Context from the trade
The timing of this announcement aligns with a concentrated interval of agentic AI bulletins throughout the advertising know-how panorama. As documented by PPC Land’s coverage of ad tech’s AI agent push in April 2026, Adobe itself launched AI brokers for digital advertising and advert technique automation on April 21, 2026, the identical day as HUMAN’s announcement. The Commerce Desk launched Koa Brokers the next day. Google introduced a $750 million fund to help cloud companions in advancing agentic AI transformation on April 22.
The convergence of safety intelligence with advertising measurement displays a structural shift in how the web capabilities. As PPC Land has reported, the agentic commerce infrastructure is expanding rapidly, with autonomous brokers now able to finishing purchases, managing loyalty accounts, and conducting product analysis with out human involvement at every step. Measurement instruments constructed for human-only periods can not maintain tempo with this.
HUMAN Safety’s platform analyzes over a quadrillion digital interactions every year, in response to the corporate. That scale of behavioral sign knowledge is the inspiration for the classification capabilities being prolonged to advertising groups right now. The corporate powers its Sightline platform with what it describes as one of many world’s largest behavioral sign networks, combining behavioral, technical, and community intelligence to tell apart official exercise from fraud, abuse, and automatic manipulation.
Timeline
- July 31, 2024 – HUMAN Security’s Quadrillion Report reveals 80% of companies block known LLM user-agents, citing intellectual property and content scraping concerns
- September 10, 2025 – Adobe announces general availability of Experience Platform Agent Orchestrator for managing agents across Adobe and third-party ecosystems
- November 1, 2025 – HUMAN Security launches open-source MCP server enabling conversational queries about attack trends and traffic security posture
- November 16, 2025 – Amazon, Google, and IAB Tech Lab release agentic advertising tools in the same week; AI agent traffic begins surfacing as a measurement challenge for publishers
- January 22, 2026 – Microsoft Clarity launches Bot Activity tracking, providing website operators visibility into which AI systems crawl their properties
- February 14, 2026 – HUMAN Security tracks 5% rise in AI agent activity during Super Bowl LX, alongside 74 million blocked retail scraping attacks and a 3,600% spike in financial account takeover attempts
- March 7, 2026 – Retail Economics, AWS, Botify, and DataDome publish report showing AI bot traffic grew 5.4x during 2025 and OpenAI generates 1 visit per 198 crawls vs. Google’s 1 per 6
- April 9, 2026 – HUMAN Safety releases the 2026 State of AI Visitors & Cyberthreat Benchmark Report, documenting automation rising eight instances sooner than human site visitors
- April 14, 2026 – HUMAN Safety’s Satori researchers determine novel advert fraud and scareware risk, Pushpaganda
- April 20, 2026 – Adobe releases knowledge at Adobe Summit exhibiting AI site visitors to U.S. retail websites surged 269% yr over yr in March 2026
- April 21, 2026 – HUMAN Security announces expansion of Agentic Visibility to marketing and commerce teams, with native integration into Adobe Experience Platform; ad tech AI agent announcements converge across multiple platforms on the same day
Abstract
Who: HUMAN Safety, a New York-based cybersecurity firm specializing in bot mitigation and digital belief, introduced the growth. John Searby, Chief Technique Officer, is the first spokesperson.
What: HUMAN Safety expanded its Agentic Visibility capabilities inside the Sightline Cyberfraud Protection platform to serve advertising and commerce organizations, enabling them to measure, classify, and act on AI agent site visitors throughout their digital properties. The corporate concurrently confirmed an integration with Adobe Expertise Platform as an official Adobe know-how companion.
When: The announcement was made on April 21, 2026, at 9:00 AM ET. The 2026 State of AI Report underlying the growth was launched on April 9, 2026.
The place: The capabilities function inside HUMAN’s Sightline Cyberfraud Protection platform and are delivered natively inside Adobe Expertise Platform and different main analytics instruments. HUMAN Safety is headquartered in New York.
Why: Automated web site visitors is rising eight instances sooner than human site visitors, in response to HUMAN’s personal knowledge, whereas most analytics platforms stay designed for human-only internet interactions. AI brokers – together with crawlers, search brokers, and agentic commerce techniques – are already reshaping site visitors, engagement, and conversion patterns in methods which can be largely invisible to plain advertising measurement instruments. With Gartner projecting AI brokers may account for 80% of web site visitors by 2035, the hole between what is going on on the internet and what advertising groups can see represents a fabric threat to measurement accuracy and business decision-making.
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