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The clock is ticking. Articles 5A–5F mandate red teaming for high-risk AI — most organizations aren’t prepared. Stay ahead of regulators with our authoritative Readiness Checklist.

Are You Ready for the EU AI Act?

AI ethics and legal concepts artificial intelligence law and online technology of legal regulations Controlling artificial intelligence technology is a high risk.

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<h2 style="white-space:pre-line">Why EU AI Act Red Teaming Can’t Wait</h2>
<p>By 2025, the EU AI Act will enforce mandatory red teaming and risk management for providers of high-risk AI systems.</p>
<ul>
<li>Non-compliance could mean hefty fines and loss of market access.</li>
<li>Regulators expect documented readiness — most teams don’t have a clear framework yet.</li>
<li>Early movers will gain credibility with regulators and customers.</li>
</ul>

<h2 style="white-space:pre-line">What You’ll Get in the Red Teaming Readiness Checklist</h2>
<p>✅ Step-by-step breakdown of Articles 5A–5F requirements.<br />✅ Practical guidance on red teaming methodologies tailored to AI systems.<br />✅ Documentation templates for compliance officers and legal review.<br />✅ A gap-assessment framework to evaluate your current readiness.</p>

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Hundreds of compliance professionals and AI startup founders are already on the early access waitlist. Don’t get left behind as EU AI Act enforcement approaches.

Join the Leaders Preparing for Compliance

<h2 style="white-space:pre-line">Don’t Wait Until Regulators Knock.</h2>
<p>Download the EU AI Act Red Teaming Readiness Checklist and position your company ahead of compliance deadlines.</p>

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Aram Algorithm

Mission:
We specialize in red teaming and evaluation services focused solely on alignment and safety — excluding traditional security or cybersecurity. Our goal is to help developers and enterprises build AI systems that are value-consistent, trustworthy, and behaviorally aligned with human intent.

What We Do (Excluding Security):
- Red teaming for LLM apps, AI agents, and multi-agent systems to uncover misalignment and emergent behaviors
- Human-in-the-loop evaluations that assess alignment with user goals, ethical values, and long-term reasoning
- Scenario-based testing to detect goal drift, reward hacking, unintended behaviors, and agent misuse
- Evaluation of AI reasoning consistency, tool usage, and multi-agent dynamics — without addressing security threats

Who We Help:
- AI startups building LLM applications, agents, or autonomous copilots
- Enterprises using AI for customer service, automation, education, or internal operations
- AI research labs working on agent-based systems or multi-agent simulations
- Developers integrating RAG pipelines, autonomous workflows, or memory-enabled agents

