GUIDA della Società

Sicurezza dell'intelligenza artificiale

AI security protects models, data, tools, and surrounding services from unauthorized access or manipulation.

2 minuti di letturaUltimo aggiornamento Parte del percorso di apprendimento AI Policy & Society

Panoramica

It includes ordinary software security and threats that target learning or model behavior. A secure design begins with the assets, adversaries, and trust boundaries of the actual application.

Punti chiave

  • Threat-model the full application.
  • Enforce permissions outside the model.
  • Retest controls across system changes.

Immersione profonda

Identify what needs protection: private inputs, training data, model artifacts, credentials, connected accounts, and external actions. Record who can influence each input and what an attacker could gain from a failure. A public chatbot and an internal agent with write access have different threat models. Threats can affect different stages. Poisoned training material can alter learned behavior; adversarial inputs can manipulate predictions; untrusted retrieved content can redirect a tool-using application. Model output can also become dangerous when inserted into a database query, webpage, or command without appropriate handling. Apply controls at the software boundary. Enforce authorization in code, keep secrets out of model-visible context where possible, restrict tool scope, and validate outputs before use. A prompt asking a model to behave safely cannot replace account isolation or permission checks. Test representative failure paths in an authorized environment and maintain an incident process. Log enough information to investigate without collecting unnecessary sensitive content. Evaluate controls after changes to the model, retrieval sources, tools, and dependencies. Describe residual risk honestly; no single filter establishes complete protection.

Approfondimento tecnico

A model refusing one malicious prompt does not prove that a system is secure. Different inputs, tools, modalities, and component boundaries can create distinct failure paths.

Locate the security boundary

  1. Imagine an assistant searching a private document store for a signed-in user.
  2. Apply the user’s access filter in the retrieval service before documents enter the model context.
  3. Test with a document belonging to a different account and verify that neither its contents nor identifying metadata appear in the result.

This defensive, hypothetical test checks authorization independently of the model’s willingness to follow instructions.

Impatto strategico

Rischio e sicurezza

I danni catastrofici e quotidiani dell’IA dipendono entrambi da chi comprende i rischi e da chi può agire.

Decisioni più chiare

L’alfabetizzazione pubblica e professionale determina la possibilità politica di una forte politica di sicurezza.

Tagliare il clamore

Spiegazioni chiare riducono la cattura da parte di montature pubblicitarie, PR di laboratorio e vaghi teatrini etici.

Implementazione nel mondo reale

Check that one account cannot retrieve another account’s documents.

Validate generated fields before using them in a database operation.

Rischi e guardrail

Trattare il rischio esistenziale come fantascienza mentre le capacità si aggravano.

Confondere la sicurezza del prodotto superficiale con l'allineamento in condizioni di elevata autonomia.

Lasciando il pubblico non inglese e non esperto solo con fonti di bassa qualità.

Tabella di marcia per l'implementazione

1

Separare i rischi di danni al prodotto, uso improprio e perdita di controllo/disallineamento.

2

Chiedi quali prove cambierebbero la tua opinione sulle tempistiche e sulla gravità.

3

Preferire fonti primarie e valutazioni concrete alle affermazioni di marketing.

4

Identifica un percorso d’azione: carriera, politica, finanziamenti o competenze, non solo consapevolezza.

Fonti e approfondimenti

Continua a esplorare

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Sicurezza dell'intelligenza artificiale

Domande frequenti

Is a strong system prompt enough to secure an assistant?

No. Authentication, authorization, input and output handling, tool limits, and incident response remain necessary parts of the application.