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GOVERNMENT & PUBLIC SECTOR

Application and AI Security for Government: Federal AI Security

Government application security with AI focus covers FedRAMP-aware AI security testing, civil-rights-aware security audits, multi-agency security considerations, and the security engineering public sector requires. BearPlex builds these systems with the rigor government environments require.

$3.3B
US federal AI contract spend FY2024
Source: Bloomberg Government 2025
1,757
AI use cases inventoried across 41 federal agencies
Source: AI.gov use case inventory 2025
M-24-10
OMB memo on agency AI governance: sets baseline requirements for all federal AI
Source: Office of Management and Budget 2024

Why Application Security & Penetration Testing matters in Government & Public Sector

Government AI faces both standard application security threats and government-specific threats (nation-state actors, civil rights implications, FOIA preservation requirements). Compromised AI in government contexts can have civic and security implications. Generic appsec doesn't cover government-specific frameworks; government-aware AI security is required.

Typical application security & penetration testing use cases in government & public sector

ApplicationDescriptionTimelineTech stack
FedRAMP-aware AI security testingAI security testing aligned with FedRAMP requirements (Moderate, High, IL5/6 per sensitivity).12-18 weeksFedRAMP-aligned methodology · AI-specific extensions to FedRAMP
Civil-rights-aware AI security auditAI security audit including civil rights implications: disparate impact testing, bias verification, fairness analysis.12-16 weeksCivil rights audit methodology · Disparate impact analysis
Government-specific AI red-teamingAI red-teaming for government AI, including nation-state-aware threat patterns, FOIA preservation considerations.10-14 weeksGovernment threat modeling · Nation-state-aware red-teaming
FISMA-compliant AI securityAI security aligned with FISMA security control requirements. Continuous monitoring, security control validation.16-22 weeksFISMA control implementation · Continuous monitoring

What we've learned deploying application security & penetration testing in government & public sector

From the field

Three patterns from BearPlex government appsec engagements: (1) FedRAMP awareness shapes everything from day one; (2) Civil rights implications must be tested for AI affecting consequential citizen decisions; (3) Documentation rigor for government audit (OIG / IG / GAO) significantly exceeds commercial sector.

REGULATORY CONSIDERATIONS

Government & Public Sector compliance considerations

Government appsec must respect: FedRAMP authorization; FISMA security controls; OMB / NIST guidance; civil rights frameworks; sector-specific frameworks (HIPAA for HHS, CJIS for criminal justice); FOIA preservation; classification frameworks where relevant.

FedRAMP
Federal Risk and Authorization Management Program: required for AI systems serving federal agencies (Moderate or High depending on data sensitivity)
NIST AI Risk Management Framework
AI RMF 1.0: required reference for federal AI deployments
OMB M-24-10
Mandates AI use case inventories, impact assessments, and pre-deployment safeguards for federal AI
Section 508
Accessibility requirements apply to AI-generated content shown to citizens
EO 14110
Executive Order on Safe, Secure, and Trustworthy AI: affects model evaluation, red-teaming, and disclosure requirements
ITAR / EAR (defense + intelligence)
Export control restrictions on AI systems containing controlled technical data
FAQ

Common questions

Yes: required framework for federal AI. AI security testing aligned with FedRAMP requirements per the agency's sensitivity level.

Yes: required for AI affecting consequential citizen decisions. Disparate impact testing, bias verification, fairness analysis as part of security review.

Yes: common engagement scope. AI security aligned with FISMA security control requirements.

$200K-$700K for a 12-18 week engagement depending on FedRAMP / FISMA requirements and complexity. Procurement timelines separate.

Yes: for high-sensitivity government AI, threat models include nation-state actors. Red-teaming includes corresponding attack patterns.

We support CUI workloads in appropriate environments. For classified workloads (Secret, Top Secret), we partner with prime contractors holding appropriate clearances.

Primarily Lahore, Pakistan (HQ) with team members in Tokyo and globally distributed. For US-based government engagements requiring more synchronous work, we have engineers in PST / EST time zones available.

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Ready to deploy application security & penetration testing in government & public sector?

Start with a paid Discovery Sprint. We'll scope the engagement, validate compliance fit, and quote a fixed price.