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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

AI agents fail silently in production. Wrong answers, broken loops, cost spikes, behavior drift after a prompt change, and no stack trace to explain why. Netra is the single platform to trace, evaluate, simulate and security test your agents. Built for text, voice, image and video agents. SOC2 Type II certified. GDPR and HIPAA compliant. US and EU data residency. Integrates with: LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI, Anthropic, Gemini, AWS Bedrock, and 30+ more.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Supported
Chromebook Not Supported

Audience

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

Audience

Teams building AI agents and Agentic AI products

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

$100/month
Free Version Not Supported
Free Trial Supported

Pricing

$39/month
Free Version Not Supported
Free Trial Supported

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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 4.0 / 5
support 5.0 / 5

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.

Pros & Cons from Real Users

Pros

  • ==Simulation mode lets you stress-test agents before production. You can spin up multi-turn conversations with defined personas and goals, auto-evaluated against fact-checking criteria you set. Instead of manual testing or hoping users find the edge cases, you run realistic scenarios and see where agents fail. Saves weeks of "what if" testing. Evaluation framework is actually repeatable. Not just pass/fail. You're measuring model quality, reasoning accuracy, tool correctness, output reliability—with metrics that stick across runs. That means you can compare versions, track improvements, and catch regressions before they hit users. Alerting catches problems you'd otherwise miss. Cost spikes, performance drops, safety violations, weird agent behavior—real-time notifications instead of discovering issues in production. That's table stakes for shipping anything at scale. Works across the whole ecosystem. OpenTelemetry standards, integrations with OpenAI, Claude, Anthropic, vector databases, LangChain, LlamaIndex. Not locked into one vendor. Multi-tenancy for SaaS applications. Voice traces for voice pipelines too, if that's your stack. Netra handles both text and voice traces end-to-end. Text captures LLM calls, tool executions, vector searches. Voice pipelines trace the full chain: speech-to-text, reasoning, text-to-speech. One platform for observing how your agents think and communicate, no matter the modality. That's rare.

Cons

  • SDK integration is non-negotiable overhead. You can't just drop this in and observe magically. Netra requires explicit instrumentation across your codebase. Multi-language support helps, but you're still looking at integration work across services. That's friction most teams don't have budget for on day one. Less public mindshare than competitors. Datadog, New Relic, LangSmith get more air time. Netra doesn't have the same community gravity or case study library. Fewer public comparisons, less blog coverage, smaller forum. That means fewer answers when you hit problems and harder time recruiting help from people who already know the tool. The documentation is excellent and so is the customer support

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

EarlyCore
Founded: 2025
United States
earlycore.dev/

Company Information

Netra
Founded: 2025
getnetra.ai/

Alternatives

Alternatives

Traccia

Traccia

Algen AI
Operant

Operant

Operant AI
Cortex AgentiX

Cortex AgentiX

Palo Alto Networks
PRISM

PRISM

Block Convey

Categories

AI Cybersecurity Supported
AI Security Supported

Categories

Integrations

LangChain Supported
AWS AI Factories Supported
AWS AI Services Supported
Azure OpenAI Service Supported
CrewAI Not Supported
Gemini Enterprise Agent Platform Supported
Jira Supported
LlamaIndex Not Supported
Logfire Supported
Microsoft Teams Supported
OpenTelemetry Not Supported
Slack Supported

Integrations

LangChain Supported
AWS AI Factories Not Supported
AWS AI Services Not Supported
Azure OpenAI Service Not Supported
CrewAI Supported
Gemini Enterprise Agent Platform Not Supported
Jira Not Supported
LlamaIndex Supported
Logfire Not Supported
Microsoft Teams Not Supported
OpenTelemetry Supported
Slack Not Supported
Claim EarlyCore and update features and information
Claim EarlyCore and update features and information
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