AI Cyber Defense / Identity, phishing and deepfake resistance
AI Cyber Defense: Detect distributed password spraying without locking everyone out
Combine account-level and organization-level analytics with adaptive challenges. Avoid automatic global account lockout based only on attacker-controlled failures.
Environment and inputs: Enterprise identity providers, privileged access, service desks and business approval workflows; controls depend on application support.
Scenario and goal
Automation can spread attempts across sources to avoid a simple per-address failure threshold.
Why it matters
For this scenario, assume the request can use correct names, fluent language and convincing media. The durable boundary is the verified identity and transaction authorization, including enrollment, recovery and exceptions. Distinguish proof of the person from permission for the requested action. A strong authentication method does not by itself authorize a payment, application grant or administrator role change.
Evidence to collect
Group failures by tenant, target account and time window; retain authentication error codes and distinguish nonexistent users from valid-account failures.
Validate with an authorized exercise
Replay synthetic low-rate attempts across many sources and legitimate failed logins; confirm detection of the distributed pattern and no bulk disablement of benign accounts.
Rollout and checks
Before enforcement, inventory application support, fallback methods and the emergency-access path. Roll out to a test group and inspect the evaluated policy at the resource as well as the identity provider. Record session lifetime and revocation behavior separately for each application; do not assume existing access ends immediately when a password or policy changes.
Scope and limits
This guide proposes a defensive test; it is not a tested production design. Check platform support and local requirements. References explain the mechanisms but do not certify the design. Behavior alone does not prove AI involvement.