EarlyCore Description
EarlyCore serves as a dedicated security platform tailored for AI agents, streamlining the processes of pre-production attack testing, real-time surveillance, and compliance documentation throughout the entire lifecycle of the agents.
It evaluates agents against a myriad of attack vectors, such as prompt injection, jailbreaking, data theft, tool misuse, and supply chain vulnerabilities. Once deployed, it continuously monitors each agent's actions, establishes typical behavioral patterns, and identifies anomalies in real time, with alerts sent via Slack, email, or webhooks.
The platform automatically generates compliance documentation aligned with standards like ISO 42001, NIST AI RMF, EU AI Act, SOC 2, and GDPR, ensuring that users remain audit-ready at all times.
With a rapid deployment time of just 15 minutes and no need for code alterations, it offers seamless integration with services like AWS Bedrock, Gemini Enterprise Agent Platform, LangChain, among others. It also provides multi-tenant support, making it an ideal choice for agencies and Managed Security Service Providers (MSSPs).
Designed specifically for security teams, agencies, and MSSPs, EarlyCore empowers organizations to secure AI agents efficiently at scale while maintaining high compliance and security standards.
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EarlyCore User Reviews
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
Finally know what AI agents are actually doing in our stack Date: Apr 10 2026
Summary: 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.
Positive: 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.
Negative: 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.
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
Replaced a patchwork of scripts with proper AI security monitoring Date: Apr 10 2026
Summary: 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.
Positive: 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.
Negative: 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.
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