5,814 agents prêts à l'emploi et 15,654 compétences de bibliothèque couvrant 24 secteurs et 12 métiers par secteur — installables depuis le catalogue, connectés à vos systèmes et exécutés à travers la même chaîne de contrôles en échec fermé que tout le reste sur Cortex.
21,511 modèles de bibliothèque dans la matrice du catalogue
Des suites conçues à la main pour les tâches que les entreprises automatisent en premier — chaque collection est livrée gouvernée, politiques et audit inclus.
Recherchez parmi 21,500+ compétences et agents gouvernés, ou filtrez par secteur et par type : chaque résultat s'installe depuis le catalogue et franchit les mêmes points de contrôle.
2 410 résultats · “HR”
Conduct deep assessment of emerging and strategic risks. Evaluates new threats (cyber, climate, geopolitical, technology) using structured frameworks with velocity, proximity, and interconnection analysis.
Generate enterprise risk management dashboard with key risk indicators. Aggregates risk metrics across all categories and presents current risk profile against appetite thresholds.
Synchronize feature definitions and values between the offline feature store and the online serving layer. Validates schema consistency, freshness, and data quality.
Analyze trends in financial crime activity across SAR data, alert volumes, investigation outcomes, and external intelligence. Identifies emerging threats and shifting patterns.
Configure and deploy AI guardrails including content filters, topic restrictions, PII detection, toxicity thresholds, and output validation rules across agents.
Optimize claims handler workload distribution. Analyzes caseload, complexity scores, SLA pressure, expertise matching, and recommends reassignments for balanced throughput.
Track advanced persistent threat campaigns -- correlate TTPs across kill chain, map infrastructure overlaps, identify target patterns, predict next moves, and generate threat profile.
Execute structured audit fieldwork by performing walkthroughs, testing controls, documenting observations, and collecting evidence per the audit program.
Document detailed process narratives from walkthrough interviews including key activities, control points, system interfaces, and segregation of duties analysis.
Track audit findings, control deficiencies, and regulatory issues through remediation lifecycle.
Conduct cybersecurity audit against NIST CSF, ISO 27001, or CIS Controls framework. Assesses threat landscape, vulnerability management, incident response, and security monitoring.
Monitor KRIs against thresholds, detect breaches, analyze trends, and generate risk dashboards.
Design new key risk indicators and calibrate thresholds using statistical methods. Ensures KRIs are leading, measurable, and aligned with risk appetite statements.
Resolve ultimate beneficial ownership structures for corporate entities. Traces ownership chains through shell companies, trusts, and nominee arrangements.
Automatically reclaims unused software licenses after configurable inactivity thresholds. Tracks harvested licenses for reallocation and generates cost savings reports.
Design and orchestrate end-to-end ML pipelines from data ingestion through training, validation, and deployment with DAG-based dependency management and retry logic.
Build comprehensive model monitoring dashboards tracking prediction quality, data drift, latency, throughput, and cost metrics with automated alerting and anomaly detection.
Continuously monitor model performance using discrimination, calibration, and stability metrics. Detects model drift, concept drift, and triggers revalidation when thresholds are breached.
End-to-end management of regulatory examinations from notice receipt through final response. Coordinates data requests, manages interview prep, tracks findings, and drafts formal responses.
Calibrate risk appetite statement metrics and tolerances. Translates board-level risk appetite into quantitative metrics, thresholds, and escalation triggers across risk categories.
Ensure data quality for regulatory reporting through automated profiling, anomaly detection, completeness checks, lineage tracing, and data quality scorecards.
Develop and deploy SIEM detection rules -- threat model input, rule logic creation, backtesting against historical data, false positive tuning, staged deployment, and detection validation.
Fine-tune semantic search relevance by optimizing embedding models, query expansion strategies, hybrid scoring weights, and reranking thresholds using relevance feedback.
AI-driven detection rule optimization -- analyze false positive rates, tune thresholds, test against historical data, validate detection coverage, and deploy optimized rules.
Les agents de la bibliothèque ne sont pas des scripts — ce sont des identités gouvernées. En installer un l'enregistre avec un propriétaire, un budget, des modèles et des actions autorisés, et une place dans le registre d'audit.
Filtrez par secteur et par rôle ; chaque élément indique les systèmes auxquels il se connecte et les compétences qu'il invoque.
Connecteurs, serveurs MCP et imports OpenAPI — cadrés par des listes d'autorisation et le DLP au niveau de la passerelle.
Identité, budget, garde-fous, registre, Control Tower, exécution, garde-fou de sortie — puis un reçu signé dans le Trust Ledger. Sur toutes les formules.
Le générateur visuel de compétences livre de nouvelles compétences sans code — ou dites-nous ce qui manque et nous vous orienterons vers le modèle gouverné le plus proche.