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About

EarlyCore is a security platform built for AI agents. It automates pre-production attack testing, real-time monitoring, and compliance reporting across the full agent lifecycle. Scans agents against thousands of attack scenarios covering prompt injection, jailbreaking, data exfiltration, tool misuse, and supply chain threats. In production, tracks every agent action, establishes behavioral baselines, and flags anomalies in real time. Alerts push to Slack, email, or webhooks. Compliance docs generate automatically, mapped to ISO 42001, NIST AI RMF, EU AI Act, SOC 2, and GDPR. Always audit-ready. Deploys in 15 minutes with zero code changes. Integrates with AWS Bedrock, Gemini Enterprise Agent Platform, LangChain, and more. Multi-tenant support for agencies and MSSPs. Built for security teams, agencies, and MSSPs securing AI agents at scale.

About

Prefactor is a real-time evaluation, observability, and reliability platform for production AI agents. It scores every run the moment it happens for quality, drift, cost, and data risk, then wires those evaluations into action so a failing agent is caught live instead of only appearing on a dashboard afterward. Teams can observe every model call, tool invocation, and decision as structured traces and spans, run LLM-as-judge, technical, qualitative, and custom evaluations on each step, and attach context from GitHub, Linear, Jira, databases, internal APIs, or other sources as ground truth. When a run crosses a defined threshold, Prefactor can block or throttle it, pause a sensitive action, or route it to a person for approval, modification, or rejection before execution, with every decision logged. The CLI discovers agents without a platform migration, while TypeScript and Python SDKs provide native support for LangChain, Claude, Vercel AI, OpenClaw, and LiveKit.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI Agencies, Fincrime, healthcare, legal tech, insurance tech, MSSP, enterprise, SMB

Audience

AI reliability leaders at regulated enterprises who need to evaluate, monitor, and control autonomous agents during live production runs

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$100/month
Free Version
Free Trial

Pricing

$250 per month
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 4.5 / 5
features 5.0 / 5
design 4.5 / 5
support 4.5 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Auto-discovery found agents we didn't even know were running - three teams had spun up LLM integrations without telling security. The threat detection pipeline catches prompt injection attempts and secrets leakage in real time. 22 attack categories in the red team scan is thorough. Setup genuinely took about 15 minutes, which I didn't believe until we actually did it. Compliance reports for EU AI Act and DORA save our team hours every month. The behavioural drift detection flagged a model that had quietly changed its output patterns before it became a real problem.
  • Continuous monitoring across all our AI agents — not just a one-time scan. The threat detection pipeline catches things we were manually checking for with custom scripts: prompt injection, secrets in outputs, PII leakage, permission drift. Supports our Bedrock and SageMaker deployments natively. Issue management system tracks every finding from detection through to resolution. Real-time alerting means we catch problems in minutes rather than in the next quarterly review. The 22-category red team assessment gave us a proper risk scorecard we could present to the board.

Cons

  • Dashboard could use more customisation options for executive-level views. Would like to see more third-party integrations beyond AWS and the current set - Civo native support would be useful for part of our stack.
  • Early days for the product so the integration library is still growing. Would like deeper analytics and trending views for long-term security posture tracking.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

EarlyCore
Founded: 2025
United States
earlycore.dev/

Company Information

Prefactor
Australia
prefactor.tech/

Alternatives

Alternatives

Operant

Operant

Operant AI
Galileo

Galileo

Cisco
Traccia

Traccia

Algen AI
Cortex AgentiX

Cortex AgentiX

Palo Alto Networks

Categories

Categories

Integrations

Jira
LangChain
Slack
AWS AI Services
Azure OpenAI Service
Cohere
Datadog
ElevenLabs
Google Cloud BigQuery
Linear
Llama
Mastra AI
Microsoft Teams
MongoDB
New Relic
OpenClaw
Python
Semantic Kernel
Snowflake
Vercel AI SDK

Integrations

Jira
LangChain
Slack
AWS AI Services
Azure OpenAI Service
Cohere
Datadog
ElevenLabs
Google Cloud BigQuery
Linear
Llama
Mastra AI
Microsoft Teams
MongoDB
New Relic
OpenClaw
Python
Semantic Kernel
Snowflake
Vercel AI SDK
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