Aegis Latent Core

Aegis Latent Core fills a specific and pressing need: proving that AI usage complies with regulations. The idea of a proxy that logs every prompt and response, applies policy in real time, and produces tamper-proof evidence is strong for industries with heavy audit requirements. For instance, a bank must demonstrate which employees used which AI models with what data, and for how long. The fact that Aegis focuses on 'verifiable audit evidence' rather than simple analytics suggests a serious approach to cryptographic integrity and chain-of-custody, which is rare among AI governance tools. However, what's publicly available is sparse — no pricing, no integration list, no documentation, and no evidence of which LLM providers it supports (OpenAI, Anthropic, Google, etc.). You'll have to request a demo to test real capabilities like data masking, prompt injection defense, or how well it handles multi-model setups. The lack of transparency is a concern for a security product; you'd typically expect at least a whitepaper or SOC 2 attestation on the page. The tool is definitely not for individuals or small teams without compliance needs. Its value is tied to regulatory pressure, so if you don't have that, it's overkill. For teams that do need it, expect a heavy implementation involving network changes and policy setup, likely with a custom contract. Given the limited public info, our advice: if your organization faces explicit AI governance mandates (e.g., EU AI Act, NY DFS, HIPAA), request a pilot and validate the audit trail's tamper-evidence claims. Otherwise, explore open-source options or cheaper observability tools like Langfuse. This is a promising but unproven category entry.