{"resourceId":"cisa-safecom-ai-ecc-infographic-2026","versions":[{"version":"external-6b34f2abc836bf4ab615519e1bc2804f4d76681af817e09a7439adaea78d3206","resource":{"id":"cisa-safecom-ai-ecc-infographic-2026","title":"SAFECOM/NCSWIC Artificial Intelligence in Emergency Communications Centers infographic","organization":"CISA SAFECOM / NCSWIC (NG911 Working Group)","sector":"911 / Emergency Communications Centers (national guidance)","geography":"United States (federal guidance for state/local ECCs)","publishedAt":"2026-04-23","publicationDate":"2026-04-23","eventDate":"2026-01-16","sourceName":"Cybersecurity and Infrastructure Security Agency (CISA)","sourceLabel":"Federal public-safety association / government standards-guidance (SAFECOM/NCSWIC)","sourceUrl":"https://www.cisa.gov/sites/default/files/2026-04/2026.01.16_s-n_ai-implemen-ecc_infographic_508C_FINAL.pdf","evidenceClass":"standards-guidance","outcomeClass":"cautionary","topics":["governance-procurement","data-security","operating-model","infrastructure"],"finding":"CISA SAFECOM/NCSWIC’s AI in ECCs infographic (PDF dated as of January 2026; news page revised April 23, 2026) frames AI as a decision-support tool for triage, translation, transcription, QA, and sensors, while stating incorporation requires significant evaluation of operability, interoperability, security, and resilience, and listing COOP risk assessment, AI implementation plan, data inventory, need-to-know access, and encryption controls—including deepfake/spoofing threats.","sledRelevance":"Why now: not previously archived; newly relevant after September 2026 non-emergency and emergency-path PSAP AI deployments (La Vergne, Akron, New Orleans) that need a federal evaluation/cyber checklist rather than launch metrics alone.","evidence":"PDF states decision-support framing; evaluation of operability/interop/security/resilience; examples (Charleston admin AI; Jefferson County up to 40% admin calls; Orleans Parish translation 70% faster claim; Nashville transcription; Hamilton County QA keywords; wildfire sensors); cybersecurity section with COOP risk assessment, AI implementation plan, data inventory, encryption; “As of January 2026.” News page: released May 20, 2025; revised April 23, 2026.","architectureImplications":"Positions AI beside telecommunicators for triage/transcription/QA/sensor ingest—not as autonomous replacement—and ties deployments to NG911 interoperability and cyber resilience.","governanceImplications":"Require written AI implementation plans, COOP-linked risk assessments, and data inventories before scaling ECC AI; treat vendor speed claims in examples as illustrations, not national benchmarks.","securityPrivacyImplications":"Explicit third-party processing risk, need-to-know access, encryption, and adversarial AI (deepfakes/spoofing) in cyber incident plans.","caveats":"Infographic guidance with illustrative agency anecdotes; not a controlled evaluation of outcomes; some example metrics (e.g., 70% faster translation) are unsourced in the PDF itself.","streamIds":["emergency-services"],"roles":{"sales":"Use the SAFECOM/NCSWIC infographic as a buyer checklist for ECC AI—not as proof that any featured tool works. Discovery should map the prospect’s AI implementation plan, COOP risk assessment, and data inventory against CISA’s bullets before discussing products. Offer a gap assessment engagement tied to operability, interoperability, security, and resilience. Unsupported claims include national endorsement of Carbyne/Jefferson County metrics, guaranteed staffing relief, or cyber-safety from reading the PDF alone.","engineering":"Fit is federal decision-support framing for ECC AI capabilities with mandatory evaluation gates. Architecture must preserve telecommunicator control, NG911 interoperability, and third-party processing boundaries. Prerequisites include data inventory and encryption standards. Constraints: illustrative examples are not baselines. Proof of value is completed risk assessment, implementation plan artifacts, and tested failover—not anecdote metrics printed on the infographic.","delivery":"Stand up an AI implementation plan workshop, complete a data inventory, and fold deepfake and spoofing scenarios into cyber incident playbooks before placing AI on emergency-path workflows. Ownership sits with ECC leadership plus IT and cybersecurity; telecommunicator supervisors own assistive-use training. SkillsAdoption emphasizes AI-as-assist with clear escalation when tools fail. Governance checkpoints include COOP update sign-off and post-deploy cyber review. Acceptance looks for written plan artifacts and tested failover, not infographic anecdote percentages. Risks include checkbox compliance without resilience tests and cherry-picking example metrics as national benchmarks."},"roleDetails":{"sales":{"customerProblem":"ECCs adopt AI under staffing pressure without a shared federal checklist for operability, interop, security, and resilience.","stakeholders":["ECC directors","Statewide interoperability coordinators","IT/cyber leads","Procurement"],"discoveryQuestions":["Is there a written AI implementation plan?","Has a COOP-linked AI risk assessment been done?","Where is the data inventory?","Who owns third-party processing controls?"],"valueHypothesis":"Agencies that complete CISA-style evaluation gates before scaling may reduce unsafe or non-interoperable AI deployments—without guaranteeing operational benefits.","potentialEngagement":"ECC AI readiness gap assessment against SAFECOM/NCSWIC checklist.","unsupportedClaims":["CISA product endorsement","Guaranteed staffing relief","Example agency metrics as benchmarks","Cyber immunity from the PDF"]},"engineering":{"fit":"Decision-support AI in ECCs with explicit evaluation of operability, interop, security, resilience.","architectureIntegration":"AI assists triage/transcription/QA/sensors beside telecommunicators; must not break NG911 interop or COOP failover.","prerequisites":["Data inventory","Encryption/access controls","AI implementation plan","COOP risk assessment"],"constraints":["Infographic anecdotes ≠ measured baselines","Third-party processing common"],"security":"Address third-party AI processing, need-to-know, encryption, and deepfake/spoofing in cyber plans.","proofOfValue":["Completed risk assessment","Documented implementation plan","Failover test results","Access-control audit"]},"delivery":{"work":"Run checklist workshop, update COOP, inventory data flows, and test AI failure modes before production.","dependencies":["IT/cyber participation","Vendor architecture docs","NG911 interop testing windows"],"ownership":"ECC director + cybersecurity lead co-own go-live gates.","skillsAdoption":"Train staff that AI is assistive; escalate when tools fail or spoofing is suspected.","governanceCheckpoints":["Risk assessment sign-off","Implementation plan approval","Post-deploy cyber review"],"acceptanceCriteria":["Written plan exists","Data inventory complete","Encryption verified","Deepfake/spoofing playbook updated"],"risks":["Checkbox compliance without tests","Cherry-picked example metrics","Third-party blind spots"]}},"retrievedAt":"2026-09-18T03:16:05Z","enrichedAt":"2026-09-18T03:20:28Z","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Highlights translation/ASL and telecommunicator wellness QA use cases; still requires human focus on urgent calls rather than workforce replacement claims.","procurementImplications":"Buyers should demand AI implementation plans, data-handling terms, and resilience testing aligned to this federal checklist in RFPs.","operatingModelImplications":"Encodes AI as decision support inside ECC workflows with cyber and COOP responsibilities—not as unsupervised call replacement.","sourceVerification":{"openedUrl":"https://www.cisa.gov/sites/default/files/2026-04/2026.01.16_s-n_ai-implemen-ecc_infographic_508C_FINAL.pdf","referenceExcerpt":"requires significant evaluation of impacts to operability, interoperability, security, and resilience.","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}