The Structural Problem with Annual Evidence Collection
FISMA self-attestation packages require documented evidence of NIST SP 800-37 control implementation across every information system in your authorization boundary. In practice, that means hunting through eMASS for current authorization status, pulling control test results from Tenable.io and Splunk, confirming ServiceNow GRC workflow documentation, and assembling it all into a coherent package that can withstand OIG scrutiny. With 50+ information systems, there's no way to track completeness informally — gaps surface only when the package is being assembled, often too late to remediate before the submission deadline. The result is a compressed, stressful sprint that's repeated every year.
Continuous Evidence Monitoring Instead of Annual Scramble
An AI Labor Company agent mines historical FISMA self-attestation packages and evidence collection patterns from eMASS and ServiceNow GRC, learning which controls require which evidence types for each system category. It then runs continuous monitoring of evidence collection completeness throughout the year — not just at attestation season. Monthly completeness dashboards surface which systems are lagging on specific controls, giving system owners time to remediate before it becomes an attestation problem. When the annual package assembly runs, the Gemini agent pulls current evidence from eMASS, Tenable.io, Splunk, and SharePoint, assembles the structured self-attestation package, and routes it to the CIO for sign-off and OIG submission. The 10-week sprint compresses into a review cycle measured in days.
Risk Reduction and Staff Capacity as the Business Case
The primary value is risk: FISMA compliance deficiencies have real consequences for agency funding, operations, and OMB relationships, and OIG findings are public record. Continuous evidence monitoring means deficiencies surface and get remediated during the year rather than discovered during the package assembly. The staff capacity value is also material — FISMA compliance staff time in this function typically runs $300K–$600K/year, and systematic evidence monitoring and package assembly typically reduces manual effort by 65–85%. Deployment typically takes about six weeks to go live.
Does the agent have access to classified or sensitive system data to pull evidence?
The agent operates within your existing Azure Government and on-premises eMASS/ServiceNow access controls. It accesses only what your authorized service accounts can access — it doesn't require new data permissions beyond what your current compliance staff use.
What happens if an information system's evidence is genuinely incomplete at attestation time?
The agent surfaces the gap in the monthly completeness dashboard well before attestation, giving the system owner time to remediate. If a gap persists to package assembly time, the agent flags it explicitly in the draft package for CIO review rather than suppressing it. The CIO retains authority over all attestation decisions.