High Tech
AI product acceleration, API security at developer velocity, hyperscale DDoS defense, multi-cloud egress elimination, and agentic workflow deployment.
The problem
Centralized GPU inference adds 200–400 ms round-trip latency and unpredictable CapEx. Every AI feature requires capacity planning, region selection, and DevOps overhead before a single user sees value.
How Cloudflare solves it
Workers AI delivers serverless GPU inference across 330+ PoPs globally, eliminating GPU fleet management. AI Gateway adds a unified observability and cost-control layer across all LLM providers — no infrastructure required.
Products
Workers AI, AI Gateway, Workers, KV
Customer KPIs
Cost per inference (↓40–60% vs. centralized); P95 inference latency (<50 ms at edge); AI-attributed feature adoption rate; time-to-ship AI feature (target: days vs. weeks)
The problem
Multi-model AI stacks generate unpredictable spend, silent degradations, and no single source of truth for LLM performance or cost attribution — creating CFO pressure without a clear ROI bridge.
How Cloudflare solves it
AI Gateway acts as a unified proxy for all LLM providers — real-time spend analytics, prompt caching (20–40% token cost reduction), rate limiting to prevent cost overruns, and automatic model fallback to maintain SLA when a provider degrades.
Products
AI Gateway, Workers
Customer KPIs
LLM spend per feature (↓20–40% via caching); model availability SLA (99.9% via fallback); mean time to detect model degradation; cost per inference request
The problem
AI agents require stateful sessions, multi-step guaranteed execution, tool access management, and human-in-the-loop guardrails. Building this from scratch on hyperscaler primitives takes months and creates deep lock-in.
How Cloudflare solves it
Agents SDK + Durable Objects (stateful sessions) + Workflows (guaranteed multi-step execution) + MCP server hosting provide a full-stack agentic platform — globally, without managing GPU clusters or container orchestration.
Products
Agents SDK, Durable Objects, Workflows, Workers AI, Vectorize, MCP Server Hosting, D1, Queues
Customer KPIs
Time to deploy new agent (days vs. months); agent task completion rate; infrastructure cost per agent interaction; developer velocity (agents shipped per sprint)
The problem
Undeclared AI crawlers consume bandwidth, inflate server costs, extract proprietary IP, and undermine competitive advantage — with no compensation or consent. Traditional bot controls cannot distinguish legitimate users from sophisticated AI scrapers using residential IPs and rotating browser fingerprints.
How Cloudflare solves it
AI Crawl Control + Bot Management + AI Labyrinth (honeypot for non-compliant bots) + Managed robots.txt + Pay-per-Crawl create a layered monetization and protection strategy: block unauthorized scrapers, trap evasive ones, and charge sanctioned AI companies for API-based content access.
Products
Bot Management, AI Crawl Control, WAF, Managed robots.txt, AI Labyrinth, Turnstile
Customer KPIs
Unauthorized AI crawl requests blocked (%); revenue from sanctioned crawl API access; bandwidth cost reduction from eliminated scraper traffic; content IP exposure score (reduction)
The problem
API sprawl — thousands of endpoints, many undocumented — means the attack surface grows faster than security teams can track it. API abuse directly impacts revenue: credential stuffing drains loyalty points, fake accounts defraud marketplaces, and scrapers steal pricing data. Traditional WAF rules require constant tuning and block real users.
How Cloudflare solves it
API Shield automatically discovers undocumented (shadow) APIs, validates schemas, detects business logic abuse via sequence analytics, enforces mTLS, and stops volumetric abuse — all with a false positive rate below 0.1%, preserving developer velocity.
Products
API Shield (Discovery, Schema Validation, Sequence Analytics, Abuse Detection), WAF, Bot Management, Rate Limiting, mTLS
Customer KPIs
Shadow APIs discovered and protected; API abuse incidents blocked (>95%); false positive rate (<0.1%); time to protect new API (<1 hr); API fraud losses (reduction)
The problem
A 30-minute DDoS outage on a marketplace costs millions in lost transactions and NPS damage. Bot campaigns scrape inventory pricing, hoard limited supply, perform credential stuffing, and generate fraudulent ad clicks — each attack directly tied to a P&L impact.
How Cloudflare solves it
Unmetered DDoS protection (automatic <3 s mitigation), ML-based Bot Management (99%+ accuracy with near-zero false positives), and Magic Transit (network-layer origin protection) deliver defense-in-depth across all attack vectors — with zero performance penalty.
Products
DDoS Protection (Unmetered), Bot Management, Magic Transit, WAF (Managed + Custom Rules), Rate Limiting, Spectrum
Customer KPIs
DDoS mitigation time (<3 s automatic); bot detection accuracy (>99%); application availability during attack (100%); invalid traffic rate reduction; fraud loss reduction
The problem
Security tool sprawl costs $15–30M+ annually in licensing, operational overhead, and incident response for large tech companies. Alert fatigue causes real threats to be missed. Gaps between tools — where SWG doesn't talk to CASB, which doesn't talk to DLP — are exactly where breaches happen.
How Cloudflare solves it
Cloudflare One replaces VPN + SWG + CASB + DLP + email security + browser isolation with a single unified SASE platform — one console, one policy engine, one vendor contract — reducing security vendor count from 50–80 to under 10 without sacrificing coverage.
Products
Cloudflare One: Access (ZTNA), Gateway (SWG), CASB, DLP, Browser Isolation, Email Security, DEX
Customer KPIs
Security vendor count (target: <10 from 50–80); MTTD (<5 min); MTTR (<30 min); annual security spend reduction (30–50%); policy consistency score across environments
The problem
Shadow AI creates uncontrolled data exfiltration pathways, EU AI Act and GDPR compliance exposure, and IP risk — all invisible to security teams. Blanket bans on AI tools damage productivity and talent retention in a market where AI fluency is a hiring signal.
How Cloudflare solves it
Cloudflare One's AI visibility dashboard discovers all AI tools in use across the organization. DLP inline blocks sensitive data from being entered into AI prompts. Browser Isolation renders AI sessions remotely, preventing data exfiltration. Creates 'use AI safely' posture — enabling productivity without compliance risk.
Products
Gateway (SWG with AI category filtering), DLP (inline + API), Browser Isolation, CASB, AI Security Report
Customer KPIs
Shadow AI tools discovered; sensitive data incidents prevented from AI tools (100%); compliance audit findings related to AI data handling (zero); employee AI adoption rate (enablement metric)
The problem
A single origin region serving global users adds 100–300 ms of avoidable latency to every request. Single points of failure create outages that cascade across all geographies simultaneously. Traffic spikes from product launches or viral moments overwhelm infrastructure with no graceful degradation.
How Cloudflare solves it
CDN (Tiered Cache) + Load Balancing (health checks + automatic failover) + Argo Smart Routing (30–50% latency reduction via optimized backbone) + Waiting Room (surge queue management) deliver comprehensive global performance and resilience without re-architecting the origin.
Products
CDN (Tiered Cache, Cache Rules), Load Balancing, Argo Smart Routing, Waiting Room, Images, Stream, Web Analytics
Customer KPIs
Transaction volume through the platform; P50/P95 page load (<1 s globally); Time to Interactive (<2 s); uptime SLA (99.99%); origin load reduction via caching (60–80%); MTTR during outage (<60 s)
The problem
Cloud egress fees ($0.05–0.12/GB) are invisible in annual planning and grow exponentially as AI training, model serving, and data pipeline workloads scale. Multi-cloud networking is complex to operate and expensive to maintain through MPLS or native cloud interconnects.
How Cloudflare solves it
Cloudflare R2 (S3-compatible object storage, zero egress fees) + Magic WAN (unified site-to-cloud and cloud-to-cloud connectivity) + Argo Smart Routing + Network Interconnect create a cloud-agnostic networking layer that reduces egress spend 50–80% and simplifies multi-cloud operations.
Products
R2 (zero-egress storage), Magic WAN, Argo Smart Routing, Network Interconnect (CNI), Load Balancing
Customer KPIs
Cloud egress spend reduction (50–80%); cross-cloud latency improvement (20–40%); network vendor count reduction; ops hours saved on multi-cloud networking; R2 storage cost vs. S3 (↓90%)
The problem
Offering customer-facing extensibility (custom code, automations, webhooks, embedded apps) requires building isolated runtime environments per tenant — a massive engineering investment, ongoing security burden, and distraction from core product development.
How Cloudflare solves it
SSL for SaaS allows SaaS providers to offer vanity domains to their customers. Workers for Platforms lets SaaS companies embed isolated, per-tenant serverless compute directly into their product — customers write code that runs securely in V8 isolates with no cross-tenant risk, no VMs to manage, and scriptable deployment via API at any scale.
Products
SSL for SaaS, Workers for Platforms, Durable Objects, R2, D1, KV, Queues
Customer KPIs
Time to market for customer extensibility feature (weeks vs. quarters); tenant isolation security incidents (zero); infrastructure cost per active tenant; developer adoption of platform SDK; customer retention lift from extensibility