AI anomaly and fraud detection
Software that flags outliers, errors and fraud in your data automatically, compared on cost, time-to-value and implementation effort.
282 solutions found · showing 1–48
Checkr
AI-powered background check and verification platform for high-stakes hiring, lending, tenant and trust decisions.
- Time-to-Value
- Minutes self-serve; 15–30 days for API embeds
- Typical TCO
- $30k/yr
Finout
The FinOps platform for cloud and AI spend, with agents that find the savings and act on them.
- Time-to-Value
- 48 hours to first insight; 2 weeks to full allocation
- Typical TCO
- On request
Yellowfin
AI-powered data exploration, embedded analytics and storytelling in a secure, governed environment.
- Time-to-Value
- Under 2 weeks
- Typical TCO
- On request
Flagright
The AI operating system for financial crime compliance
- Time-to-Value
- ~2 weeks to production
- Typical TCO
- On request
Lever
AI-powered ATS and recruiting CRM that unifies sourcing, hiring automation, analytics and candidate relationship management in one platform
- Time-to-Value
- 2–4 weeks
- Typical TCO
- On request
- Time-to-Value
- Minutes to connect; days to first savings
- Typical TCO
- On request
- Time-to-Value
- 2–4 weeks
- Typical TCO
- On request
HUMAN Security
Unified bot and fraud prevention platform protecting advertising, applications, accounts, and transactions.
- Time-to-Value
- Not published; est. ~1 month
- Typical TCO
- On request
- Time-to-Value
- 3-6 months (typical enterprise rollout)
- Typical TCO
- On request
Loop Returns
AI-powered post-purchase operations platform uniting returns, exchanges, tracking, and fraud prevention for ecommerce brands.
- Time-to-Value
- 15–45 days for Shopify brands
- Typical TCO
- $4k/yr
- Time-to-Value
- 1–3 days
- Typical TCO
- $48k/yr
Verizon Connect
GPS fleet management, AI dashcams and compliance tools for field operations
- Time-to-Value
- 4–6 weeks (install dependent)
- Typical TCO
- On request
Concentric AI
AI and data security governance platform that discovers, governs and protects sensitive enterprise data for safe AI adoption
- Time-to-Value
- Value visible inside the proof of concept (weeks)
- Typical TCO
- On request
- Time-to-Value
- 2–4 weeks to realized savings
- Typical TCO
- On request
Gatekeeper
The only unified Vendor & Contract Lifecycle Management solution, powered by AI
- Time-to-Value
- 2-4 weeks
- Typical TCO
- On request
Napier AI
AI-powered anti-money laundering and financial crime compliance platform for regulated financial institutions
- Time-to-Value
- About 6 weeks
- Typical TCO
- On request
Umbrella
AI-based FinOps platform that finds cloud and Kubernetes waste, forecasts spend and tracks savings.
- Time-to-Value
- ~2–4 weeks to first cost visibility
- Typical TCO
- $60k/yr
![Collective[i] logo](https://uzjbruxsjhvitgaecakz.supabase.co/storage/v1/object/public/vendor-logos/collective-i-cc15cc3bed.webp)
Collective[i]
Enterprise AI that studies how the world does business, turning network-scale intelligence into sales forecasting, pipeline insight and automated CRM upkeep.
- Time-to-Value
- Under a day (vendor cites 30–45 min onboarding)
- Typical TCO
- $9k/yr
- Time-to-Value
- Guided deployment, ~2–4 weeks
- Typical TCO
- On request
Warp
AI agents run payroll, tax compliance, benefits and IT so growing teams do not have to.
- Time-to-Value
- 1–2 weeks
- Typical TCO
- $32k/yr
Scrut Automation
AI teammates that draft policies, collect evidence and prep audits across 70+ compliance frameworks.
- Time-to-Value
- 2 hours setup; impact within ~30 days
- Typical TCO
- On request
- Time-to-Value
- 2 weeks or less
- Typical TCO
- $15k/yr
Atomicwork
AI-native ITSM and ESM platform run by governed AI Coworkers
- Time-to-Value
- Days to deploy; ~6 weeks for full replacement
- Typical TCO
- $25k/yr
CybSafe
Adaptive human risk management that cuts risky security behaviours and proves impact with data
- Time-to-Value
- Not published by vendor
- Typical TCO
- On request
New Relic
AI-powered full-stack observability for applications, infrastructure, logs, AI agents and digital experience.
- Time-to-Value
- Days on the free tier; weeks for full roll-out
- Typical TCO
- $45k/yr
Lumos
The autonomous identity platform: agents that continuously govern access for every human, machine and AI.
- Time-to-Value
- Under 90 days
- Typical TCO
- On request
Reco
AI agent security platform: see every agent, its access and its risk.
- Time-to-Value
- 48 hours to deployment
- Typical TCO
- On request
Xelix
AI-powered accounts payable automation that bolts onto your ERP to cut leakage and automate AP work
- Time-to-Value
- Day-one ROI reported; rollout typically weeks
- Typical TCO
- On request
- Time-to-Value
- Connect in ~15 minutes; savings within days
- Typical TCO
- $18k/yr
Glean.ai
AP automation and vendor spend intelligence that eliminates invoice data entry and uncovers overspending.
- Time-to-Value
- Under 1 week
- Typical TCO
- $4k/yr
Promise
AI automation for government benefits, income verification, program audit, and payment recovery.
- Time-to-Value
- ~8 weeks
- Typical TCO
- On request
Limble
Mobile-first CMMS and asset management that cuts downtime, simplifies work orders and keeps preventive maintenance on track.
- Time-to-Value
- 2–6 weeks
- Typical TCO
- On request
ProcureDesk
Procurement and AP automation that starts every purchase with a PO and closes the books in 4 days.
- Time-to-Value
- 2–4 weeks
- Typical TCO
- $15k/yr
Playroll
Global HR, payroll and compliance platform for hiring, managing and paying international teams, backed by expert human support.
- Time-to-Value
- 2–5 days for EOR onboarding
- Typical TCO
- $5k/yr
Afi
Backup and recovery for Microsoft 365, Google Workspace, Azure, AWS and Kubernetes
- Time-to-Value
- 1-3 days (self-serve trial)
- Typical TCO
- $18k/yr
- Time-to-Value
- Weeks, not months
- Typical TCO
- On request
Nightfall AI
AI-native DLP that controls how sensitive data moves across AI agents, MCP servers, endpoints and SaaS.
- Time-to-Value
- Hours to first detections; under 1 month full rollout
- Typical TCO
- On request
Sardine
Agentic risk platform unifying fraud prevention, AML compliance, and real-time transaction monitoring for banks, fintechs, and merchants.
- Time-to-Value
- 6-10 weeks
- Typical TCO
- On request
Shufti Pro
Identity verification, KYC/AML and fraud prevention platform built for global compliance
- Time-to-Value
- Under 24 hours for API; 2–5 days full compliance
- Typical TCO
- $30k/yr
Better Stack
AI SRE observability stack: logs, traces, metrics, error tracking and incident management at up to 30x less than Datadog.
- Time-to-Value
- Same day for logs; minutes to first monitor
- Typical TCO
- $5k/yr
Cohesity
AI-powered data security and management for the AI-ready enterprise
- Time-to-Value
- 2–6 weeks (30-day free trial)
- Typical TCO
- On request
ORO Labs
Agentic procurement orchestration that coordinates people, processes, systems and data for the enterprise
- Time-to-Value
- 8–12 weeks (enterprise rollout)
- Typical TCO
- On request
Persefoni
Carbon accounting and sustainability management platform for measuring, reporting and reducing emissions.
- Time-to-Value
- 2–6 weeks
- Typical TCO
- $30k/yr
Soraban
AI tax workflow platform that connects client intake, workpaper prep, data entry and return delivery for accounting firms
- Time-to-Value
- 1 week onboarding; live season in under 30 days
- Typical TCO
- On request
Unit21
Agentic AI platform that automates fraud detection, AML investigations and regulatory filing end to end
- Time-to-Value
- 2–4 weeks
- Typical TCO
- On request
Astrix Security
Identity security for AI agents and non-human identities (NHIs)
- Time-to-Value
- 3-4 weeks (estimate)
- Typical TCO
- On request
Autohost
AI-powered screening and background checks that hospitality platforms embed to cut fraud and create new revenue
- Time-to-Value
- Under a day
- Typical TCO
- On request
CloudEagle.ai
Enterprise AI governance and SaaS management platform: one command center for SaaS, AI and identity governance
- Time-to-Value
- First insights in ~30 minutes
- Typical TCO
- On request
Questions to ask before you buy
- What is the false-positive rate, and who reviews the flags?
- Can we tune the thresholds to our own risk appetite?
- Is every flag explained, so an auditor can follow it?
Each tool page shows what the vendor’s own pages say about training on your data, model providers and AI pricing, and “Not recorded” where they say nothing. How we record AI