Diffyn VS Retrievy

Diffyn's answer

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

Retrievy's answer:

Retrievy brings cloud, identity, Active Directory, and network configuration security into one continuous security posture platform. Instead of producing isolated findings, Retrievy connects risks to owners, remediation guidance, compliance controls, and verification.

A finding is only considered resolved after a later scan confirms that the risk was actually removed.

Diffyn's answer

Diffyn is the platform that specializes on both change management and multi-model analysis.

Retrievy's answer:

Retrievy reduces the need for separate tools for cloud posture, identity security, Active Directory auditing, and configuration hardening. It provides read-only collection, exposure-based prioritization, actionable remediation guidance, continuous compliance evidence, and automatic verification after fixes.

Security teams get one workspace and one posture view instead of disconnected reports and dashboards.

Diffyn's answer

React, Next.js, POSTGRESQL

Diffyn's answer

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

Retrievy's answer:

Retrievy is built for security teams, IT and infrastructure teams, cloud security teams, compliance professionals, and MSSPs that need continuous visibility across cloud, identity, Active Directory, and network configurations. It is particularly useful for organizations managing hybrid environments across multiple cloud providers and on-premises infrastructure.

Diffyn's answer

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.

Retrievy's answer:

Retrievy grew out of years of cybersecurity consulting and a recurring problem: organizations were using separate tools to audit cloud environments, Active Directory, firewalls, identity, and compliance, but the responsibility for fixing everything still landed on the same security teams.

Retrievy was created to close that gap. The goal was not to build another scanner that generates a report, but a platform that follows security findings from discovery through ownership, remediation, verification, and continuous monitoring.