EarlyCore

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.

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.

Overall: We brought EarlyCore in for an assessment after realising our MSSP covered network and endpoint but had zero visibility into our AI deployments. The assessment alone was worth it - showed us exposure we had no idea existed. We moved to managed service within a month. The continuous monitoring and automated compliance reporting means we're not scrambling before audits anymore. If you're running AI agents in production and your security team can't tell you what they're doing right now, start with the assessment.

Pros: 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: 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.

Overall: Before EarlyCore we had a mix of homegrown scripts and manual processes trying to monitor our AI deployments. It wasn't scalable and it definitely wasn't audit-ready. The assessment was the entry point — deployed in 15 minutes and immediately found exposure across agents we thought were locked down. The managed service replaced our entire patchwork approach. Auto-discovery means new agents get picked up automatically, drift detection catches behavioural changes against rolling baselines, and compliance reports generate on demand. For a regulated financial services firm, having continuous AI security monitoring that's actually audit-ready is not optional anymore. EarlyCore delivers it as a service so we don't have to build the capability in-house.