Salesforce Maps Layered Bot Mitigation Strategy for Ecommerce

Executive Summary

• Automated traffic now accounts for more than half of all internet activity, and malicious bot traffic reaches roughly 43% of total network traffic during Cyberweek, according to Salesforce Blog.
• Scraping instances have grown 185% year over year and represent the largest and fastest-growing attack vector, making up 70% of bad bot traffic, Salesforce Blog reports.
• A growing share of bots crawling ecommerce sites are AI assistants and LLM-powered search tools that influence whether a brand appears in AI-generated product recommendations, per Salesforce Blog.
• Salesforce frames bot mitigation as a shared responsibility among brands, platform providers, and embedded CDNs, with layered defenses spanning edge protection, application hardening, and analytics validation, according to Salesforce Blog.

Key Takeaways

• Indiscriminate blocking of AI crawlers removes a brand from an emerging discovery channel that Salesforce describes as a source of high-intent traffic, while unmanaged traffic risks slower sites and distorted analytics.
• Salesforce recommends testing every new bot rule in log mode before switching to block, because a rule promoted too quickly can block legitimate traffic, including desired AI crawlers and search engines.
• Edge defense alone is insufficient: robots.txt should be treated as guidance for well-behaved bots rather than a security control, with rate limiting and smart caching applied to cart, checkout, account, and search or filter pages.
• Bot traffic damages analytics integrity, so Salesforce advises server-side validation of analytics events to keep reporting and personalization tools reflecting real shopper behavior.

Salesforce Bot Mitigation Framework Relies on Layered Edge Defense

Salesforce argues there is no single switch that separates good bot traffic from bad, so the company lays out a layered framework beginning at the edge. The first line is the embedded CDN or WAF. Salesforce separates these protections into tiers by how much coordination they require. Self-service controls that can be configured without an approval process include custom WAF rules, rate limiting, IP, ASN, and geo blocking, Managed Challenge, "Under Attack" mode, and Waiting Room for high-traffic events.

Other protections sit behind a shared responsibility model. Custom rules scoped to SCAPI zones need involvement from an edge team, and heavier tools such as Advanced Bot Management, Advanced Rate Limiting, Turnstile, and Precursor carry tradeoffs in cost and compatibility. Salesforce notes these tradeoffs are especially relevant for stacked-CDN setups, where protections go through a formal evaluation rather than a quick toggle. One rule applies at every tier in the framework: test new rules in log mode before switching to block, because a rule promoted too fast can block legitimate traffic, including the AI crawlers and search engines a brand wants to index its site.

Waiting Room, which is self-service, is positioned for flash sales and high-traffic moments and should be set up ahead of time. Salesforce cautions it is not a substitute for strong bot identification at extreme scale. The company links the framework to further reading on bot management, flash sale traffic management, embedded CDN configuration, and SCAPI zone support.

Salesforce Application Hardening Starts With Deliberate Robots.txt Settings

Edge defense stops traffic at the door; application-level hardening protects what sits inside. Salesforce begins this layer with robots.txt, warning against leaving it on default settings. The file should be set deliberately based on a site's own structure and treated as guidance for well-behaved bots, not a security control. A stale file, the company notes, can block crawlers a brand actually wants.

From there, Salesforce directs attention to the most expensive and most sensitive pages, specifically cart, checkout, account, and search or filter pages, which should be protected with rate limiting and smart caching. Adding friction such as Turnstile challenges to high-value forms for account creation, checkout, and gift card lookups raises the cost of abuse, according to Salesforce, without adding real friction for legitimate shoppers. The company links this section to further reading on caching strategies for Salesforce B2C Commerce, securing a site, and SLAS best practices.

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Salesforce Ties Bot Traffic to Analytics Integrity and Ad Spend

Server capacity is not the only asset bots harm. Salesforce states that non-human visits inflate session counts, skew conversion rates, and can hit analytics endpoints directly, bypassing the actual site. For marketing and commerce leaders, the consequence is misleading campaign performance data and wasted ad spend chasing traffic that was never going to convert.

The remedy Salesforce proposes is server-side validation of analytics events, so the data flowing into reporting and personalization tools reflects real shopper behavior rather than bot noise. This matters commercially because the same analytics feed campaign attribution and personalization decisions. If bot traffic is counted as shopper activity, the resulting performance picture is not just inaccurate but actively misdirects budget. Salesforce does not specify implementation details or vendor tooling for server-side validation in the source material.

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Salesforce Pre-Peak Checklist Targets Cyber Week Traffic Collision

Salesforce identifies Cyber Week as the single biggest collision of peak human traffic and peak bot traffic, with real shoppers, scrapers, scalpers, and AI crawlers hitting sites simultaneously and becoming harder to distinguish at a glance. The company describes three ways this window differs from the rest of the year: AI crawler activity spikes alongside shopper demand as more consumers use AI assistants to research gifts and compare prices before landing on a site; malicious bot activity spikes against flash sales, doorbusters, and limited-inventory drops; and there is less room for error, since a rule that is too aggressive can knock out real shoppers or AI crawlers during the highest-revenue days, while a rule that is too permissive can let scalpers clear inventory before real customers get a chance.

The pre-peak checklist Salesforce provides includes auditing robots.txt well before the sale to confirm it reflects current site structure and controller paths, reviewing self-service embedded CDN settings that should already be configured and tested in log mode, evaluating Waiting Room for flash sales or drops, looping in the edge team early for approval-gated protections such as Advanced Bot Management, Advanced Rate Limiting, Turnstile, or Precursor, and stress-testing checkout and login flows as the pages most likely to be targeted by scalper bots and credential stuffing attempts.

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Salesforce states the goal is not to lock everything down the week before Cyber Week, but to start early enough that decisions about what to allow, what to restrict, and what needs a bigger conversation are already made rather than handled live under pressure.

Salesforce Implementation Risks

Editorial independence disclosure: This analysis was prepared independently by Business 2.0 News and is based solely on the supplied source material.

Source note: All figures, framework descriptions, and recommendations in this article are drawn from Salesforce Blog. No independent verification of the reported metrics was performed.

What This Means for Practitioners

For ecommerce operators, platform engineers, and CMOs, the practical implication is that bot policy is now a revenue decision, not just a security setting. A rule that makes the site faster by blocking crawlers can remove a brand from AI-assisted product discovery, while a permissive posture inflates session data and distorts the reporting that guides ad spend. The controllable levers Salesforce names are within reach for most teams: audit robots.txt, test rules in log mode first, and validate analytics server-side. The approval-gated tools require lead time, so procurement and edge coordination should begin before peak season rather than during it.