Trusys AI

Trusys AI

Trusys
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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

Trusys.ai is a unified AI assurance platform that helps organizations evaluate, secure, monitor, and govern artificial intelligence systems across their full lifecycle, from early testing to production deployment. It offers a suite of tools: TRU SCOUT for automated security and compliance scanning against global standards and adversarial vulnerabilities, TRU EVAL for comprehensive functional evaluation of AI applications (text, voice, image, and agent) assessing accuracy, bias, and safety, and TRU PULSE for real-time production monitoring with alerts for drift, performance degradation, policy violations, and anomalies. It provides end-to-end observability and performance tracking, enabling teams to catch unreliable output, compliance gaps, and production issues early. Trusys supports model-agnostic evaluation with a no-code, intuitive interface and integrates human-in-the-loop reviews and custom scoring metrics to blend expert judgment with automated metrics.

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 product teams, engineers, QA specialists, and researchers who need to evaluate, monitor, and secure AI systems with confidence and ensure dependable, compliant performance

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

Free
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 4.7 / 5
ease 4.5 / 5
features 5.0 / 5
design 4.5 / 5
support 4.5 / 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

  • The biggest win is that it's genuinely agent-first — it understands tool calls, memory, and multi-turn behavior instead of just scoring prompts. Having evaluation (TruEval), red-teaming (TruScout), runtime tracing (TruPulse), and guardrails (TruGuard) under one platform meant we stopped stitching together separate tools. Argus surfacing only the incidents that need judgment cut a lot of dashboard noise, and the OWASP Agentic / MITRE ATLAS mappings made our compliance evidence much easier to hand to auditors. Onboarding was fast and the on-prem option mattered for our data-residency requirements.
  • Trusys AI delivers strong visibility and control across our AI systems with a practical governance-first approach. The platform makes it easier to monitor AI behavior, enforce internal policies, and improve compliance readiness without slowing down innovation. We especially liked the observability features, policy tracking, and real-time monitoring capabilities that help identify risks before they become production issues. The interface is clean, deployment was straightforward, and the support team was highly responsive during onboarding. It has become an important layer in managing trustworthy and scalable AI operations across our organization.
  • We’ve been using Trusys AI for AI assurance, monitoring, and governance, and the platform has been very effective for improving reliability and compliance across our AI workflows. What stands out most is the combination of AI evaluation, real-time monitoring, adversarial testing, and governance tools in one unified platform. The TRU EVAL and TRU PULSE modules are especially useful for detecting hallucinations, monitoring model drift, and maintaining visibility into production AI systems. The dashboard is intuitive, and the monitoring capabilities help teams identify issues before they impact users. Another major advantage is the platform’s focus on responsible AI and compliance readiness. Features like audit trails, policy enforcement, risk categorization, and security testing make it easier to align with evolving regulations and enterprise security standards. The documentation and onboarding process are also well-structured, making integration with AI applications and LLM workflows relatively smooth. Overall, Trusys AI is a strong choice for organizations looking to build secure, trustworthy, and enterprise-ready AI systems with continuous monitoring and governance capabilities.

Cons

  • As a newer platform, the integration ecosystem and community are still smaller than long-established observability tools, and documentation is still maturing in places.
  • Some advanced configuration workflows require technical familiarity during initial setup, especially for teams new to AI governance frameworks. Additional prebuilt templates for industry-specific compliance use cases would also be helpful.
  • Initial setup and configuration can feel complex for teams new to AI governance platforms.

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

Trusys
Founded: 2024
United States
www.trusys.ai/

Alternatives

Alternatives

Galileo

Galileo

Cisco
Operant

Operant

Operant AI

Categories

Categories

Integrations

AWS AI Factories
AWS AI Services
Azure OpenAI Service
Claude
Gemini
Gemini Enterprise Agent Platform
Google
Jira
LangChain
Llama
Logfire
Microsoft Teams
Mistral AI
OpenAI
Perplexity
Slack

Integrations

AWS AI Factories
AWS AI Services
Azure OpenAI Service
Claude
Gemini
Gemini Enterprise Agent Platform
Google
Jira
LangChain
Llama
Logfire
Microsoft Teams
Mistral AI
OpenAI
Perplexity
Slack
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