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Scaled Cognition

AI Agents PlatformFreemiumClosed SourceVertical

Solving agentic artificial intelligence

🛡️ AgentReady threat assessment

MAESTRO 7-layer threat model + OWASP AIVSS risk score for Scaled Cognition, derived from its capabilities.

AIVSS 6.9 · Medium
View MAESTRO 7-layer threat model →

These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.

Overview

Scaled Cognition has created the world's first Agentic Pretrained Transformer (APT) that optimizes actions, resulting in a new state-of-the-art for agentic workflows. The system is pretrained on large-scale simulated interactions, which involve taking actions across complex APIs and domains while adhering to instructions and policies, enforces deterministic constraints and anti-hallucination rules when calling functions, and has a built-in API simulation to test against mock APIs without hooking up backends.

Key features and capabilities

Use cases