Why CISA is a major AI/ML customer
CISA is the federal civilian cybersecurity lead, coordinator of national critical infrastructure cyber defense, operator of EINSTEIN and CDM, host of the Joint Cyber Defense Collaborative, and the authority behind the Zero Trust Maturity Model. It is also, structurally, a data problem. Federal civilian cybersecurity is a firehose of telemetry — DNS, netflow, endpoint logs, identity events, vulnerability data, threat intelligence feeds — and CISA's effectiveness depends on making that firehose produce defensible decisions at scale. That is AI and ML work.
Precision Delivery Federal LLC (UEI Y2JVCZXT9HP5, CAGE 1AYQ0, NAICS 541512) targets CISA's AI, ML, and data engineering workloads as a SAM-registered small business. We build systems that speak CISA's own framework — Zero Trust, Secure by Design, CDM taxonomies — because they are the frameworks federal buyers everywhere increasingly cite.
CISA programs we target
- Continuous Diagnostics and Mitigation (CDM) — the program that gives federal agencies dashboards and tooling to see their attack surface. AI/ML opportunities sit in prioritization, anomaly detection, and dashboard evolution.
- Joint Cyber Defense Collaborative (JCDC) — CISA's flagship public-private operational collaboration for cyber defense planning.
- Zero Trust Maturity Model (ZTMM) — five pillars (Identity, Devices, Networks, Applications and Workloads, Data) plus three cross-cutting capabilities. The organizing framework for federal ZT.
- Secure by Design / Secure by Default — CISA's campaign to shift security left into software vendors. AI-assisted code review, SBOM analytics, vulnerability research all fit.
- CyberSentry — voluntary monitoring program for critical infrastructure.
- EINSTEIN and TIC 3.0 — federal perimeter and traffic inspection programs evolving toward cloud-native patterns.
- Vulnerability management — KEV catalog, Binding Operational Directives, coordinated disclosure.
- State, Local, Tribal, and Territorial (SLTT) cyber support — grant-funded and fast-growing.
Zero Trust — how we operationalize the Maturity Model
CISA's Zero Trust Maturity Model is the federal civilian benchmark. Every AI/ML system we deliver for CISA scope is architected against it:
Identity
Strong MFA, identity stores consolidated, continuous validation, and — where AI is involved — authenticated model and agent identities with their own access boundaries.
Devices
Inventory, compliance enforcement, telemetry. AI-assisted posture evaluation and anomaly detection.
Networks
Microsegmentation, encrypted east-west, traffic inspection with privacy-preserving ML.
Applications and Workloads
Secure delivery, runtime protection, AI/ML workloads governed with their own control mapping.
Data
Inventory, classification, DLP, rights management. ML-driven classification where appropriate.
Visibility & Analytics, Automation & Orchestration, Governance
The cross-cutting capabilities where ML earns the most value — anomaly detection, automated response, policy orchestration.
Threat intelligence ML — where we deliver
Anomaly detection
across netflow, DNS, endpoint, and identity streams — behavior-based detection that does not rely on signature feeds.
LLM-assisted analyst productivity
IOC enrichment, report summarization, advisory generation, triage prioritization. Every agent step audit-logged.
Adversary TTP clustering
unsupervised methods over MITRE ATT&CK-mapped telemetry.
Vulnerability prioritization
ML for KEV-aligned risk scoring that accounts for agency-specific exposure.
Phishing and social-engineering detection
LLM-based analysis of inbound communications.
CDM analytics and dashboard evolution
CDM's next phase is less about installing tools and more about making the data produced by those tools useful to CISOs and operators. Our fit: federated analytics across agency data, cross-agency anomaly signals, and dashboards that surface prioritized decisions rather than enumerate findings.
JCDC — our engagement posture
The Joint Cyber Defense Collaborative is CISA's flagship operational collaboration cell. Membership is limited to vetted partners meeting specific thresholds. We pursue JCDC engagement directly, positioning our SAM-registered small business profile, federal past performance, and AI/ML specialization, and through partner firms already inside the JCDC ecosystem.
Secure by Design and AI safety
CISA's Secure by Design campaign is particularly relevant for AI/ML vendors. We deliver AI systems that are themselves secure by design — prompt-injection-hardened, LLM-guardrailed, with supply-chain governance for models (SBOM-for-models, model cards, provenance). When we deliver to CISA, the artifacts are internally consistent with CISA's own Secure by Design guidance.
Capabilities mapped to CISA priorities
Cybersecurity and DevSecOps
800-53, NIST CSF 2.0, SSDF, SBOM. The discipline that underlies everything.
Machine Learning
anomaly detection, clustering, classification on security telemetry — evaluation-first.
Agentic AI
analyst-in-the-loop LLM tooling, prompt-injection-hardened, audit-logged.
Data Engineering
lakehouse for security telemetry, federated analytics, real-time streaming.
Cloud Infrastructure
FedRAMP-aligned, Zero Trust-native.
Federal delivery record
Precision Federal's own federal contracts are FHWA purchase order 693JJ326P000024 ($141,370.26, September 2026 through September 2028) and CDC purchase order 75D30126P21398 ($296,250, signed September 18, 2026). Before founding the firm, Bo Peng built production ML with full ATO at a federal health agency (HHS). For CISA specifically, we are targeting and pursuing work through DHS/CISA SBIR, CISA BAAs, and JCDC-adjacent collaboration pathways.
Vehicles and NAICS
- Primary NAICS 541512. Additional NAICS on SAM: 541511, 541519, 541715, 518210.
- Vehicles — DHS/CISA SBIR, CISA BAAs, and GSA HACS Special Item Numbers.
If you are a CISA program office or a JCDC partner with an AI/ML requirement, email contact@precisionfederal.com.