Manual Evidence Collection
Stop Chasing Engineers for Data
Your GRC team spends three days a week asking the same engineers for the same manual data export. The Anecdotes Data Engine pulls evidence directly from your systems, automatically and continuously. Your team stops chasing data and starts managing risk.
Three Times a Week, You Ask. Three Times a Week, They Sigh
Compliance asks engineering for an Okta export, IT asks security for a screenshot from AWS, HR asks compliance for the latest org chart. You cycle through the same Slack threads every quarter and the same Excel workbooks every audit.
Meanwhile, your actual work sits on the back burner, along with the strategic risk management your company actually needs.
Eliminate Manual Work and Let Evidence Collect Itself
The Anecdotes Data Engine connects to enterprise systems and continuously pulls and structures evidence artifacts.
Screenshots, Slack reminders, weekly chasing: gone.
Your engineers go back to engineering.
Automates evidence collection directly from AWS, Okta, GitHub, Jira, and 230+ integrations
Normalizes raw data into structured, audit-grade GRC dataset without manual reformatting
Requirement-level evidence mapping to controls, risks, policies, and frameworks
Continuous policy enforcement monitoring via pre-built and custom analysis rules
Built for Enterprise Scale, Automated for Speed
Plugin Library
Integrate your tech stack to automatically collect 1,000+ predefined data artifacts
Data Studio
Create custom plugins and evidence artifacts with a no-code builder
Analysis Console
Surface compliance gaps in real time the moment your environment changes
Sounds Familiar?
What GRC teams actually say, in their own words.
Trusted By the Best
The Anecdotes Data Engine produces evidence with full metadata and timestamps, structured for seamless auditor verification.
Frequently Asked Questions
Automated evidence collection is the continuous, system-driven process of pulling compliance and security-relevant data, such as access logs, configuration states, and user activity records, directly from source systems without manual exports or evidence requests.
The Anecdotes Data Engine connects to your source systems to continuously collect fresh evidence, automatically transforming the raw data into a consistent table format ready for analysis, independent verification, and audit transparency.
Security is foundational to the entire architecture. The Anecdotes Data Engine connects to your source systems using strictly limited, read-only API permissions.
The platform never modifies your configurations, controls, or production environments. It exclusively extracts the minimal, specific metadata required to satisfy your compliance frameworks, ensuring your tech stack remains entirely secure and untouched.
Yes. The Big 4 and other top-tier audit firms actively prefer system-generated evidence because it eliminates the risk of human manipulation and establishes a bulletproof chain of custody.
Because the Anecdotes Data Engine normalizes raw system data into structured, timestamped tables with full metadata, it provides auditors with the exact independent verification and transparency they require. This trusted format accelerates the review process and significantly reduces the volume of manual sampling requests.
No. Instead of forcing your internal engineering team to write custom scripts, manage API tokens, or maintain complex data pipelines, the platform leverages over 230 native plugins that are built and maintained in-house, including Data Studio for building no-code plugins to support homegrown systems or unique evidence artifacts.
Connecting to your cloud infrastructure, identity providers, and ticketing systems takes minutes, requiring zero custom code or ongoing maintenance from your dev teams.
Yes. Many controls required by ISO 27001, SOC 2, HIPAA, PCI-DSS, and FedRAMP overlap significantly.
Anecdotes automatically maps your GRC data to a library of over 50 industry frameworks and your internal standards. When evidence is collected and mapped to a unified control library, a single evidence artifact can satisfy requirements across multiple frameworks simultaneously. For example, a user access log pulled from Okta can satisfy requirements across multiple frameworks, eliminating the parallel manual work that consumes most compliance team time.
