Frontend gaps fill work. Testing fixes work. Auditing in progress.
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StellaOps Bot
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namespace StellaOps.AdvisoryAI.WebService.Services;
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/// <summary>
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/// Storage for AI consent records.
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/// Sprint: SPRINT_20251229_018a_FE_vex_ai_explanations
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/// Task: VEX-AI-016
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/// </summary>
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public interface IAiConsentStore
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{
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/// <summary>
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/// Get consent status for a user/tenant.
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/// </summary>
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Task<AiConsentRecord?> GetConsentAsync(string tenantId, string userId, CancellationToken cancellationToken = default);
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/// <summary>
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/// Grant consent for a user/tenant.
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/// </summary>
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Task<AiConsentRecord> GrantConsentAsync(string tenantId, string userId, AiConsentGrant grant, CancellationToken cancellationToken = default);
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/// <summary>
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/// Revoke consent for a user/tenant.
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/// </summary>
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Task<bool> RevokeConsentAsync(string tenantId, string userId, CancellationToken cancellationToken = default);
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}
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/// <summary>
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/// Consent record.
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/// </summary>
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public sealed record AiConsentRecord
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{
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public required string TenantId { get; init; }
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public required string UserId { get; init; }
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public required bool Consented { get; init; }
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public required string Scope { get; init; }
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public DateTimeOffset? ConsentedAt { get; init; }
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public DateTimeOffset? ExpiresAt { get; init; }
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public required bool SessionLevel { get; init; }
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}
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/// <summary>
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/// Consent grant request.
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/// </summary>
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public sealed record AiConsentGrant
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{
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public required string Scope { get; init; }
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public required bool SessionLevel { get; init; }
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public required bool DataShareAcknowledged { get; init; }
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public TimeSpan? Duration { get; init; }
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}
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/// <summary>
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/// In-memory consent store for development/testing.
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/// </summary>
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public sealed class InMemoryAiConsentStore : IAiConsentStore
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{
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private readonly Dictionary<string, AiConsentRecord> _consents = new();
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private readonly object _lock = new();
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public Task<AiConsentRecord?> GetConsentAsync(string tenantId, string userId, CancellationToken cancellationToken = default)
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{
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var key = MakeKey(tenantId, userId);
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lock (_lock)
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{
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if (_consents.TryGetValue(key, out var record))
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{
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// Check expiration
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if (record.ExpiresAt.HasValue && record.ExpiresAt.Value < DateTimeOffset.UtcNow)
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{
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_consents.Remove(key);
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return Task.FromResult<AiConsentRecord?>(null);
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}
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return Task.FromResult<AiConsentRecord?>(record);
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}
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return Task.FromResult<AiConsentRecord?>(null);
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}
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}
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public Task<AiConsentRecord> GrantConsentAsync(string tenantId, string userId, AiConsentGrant grant, CancellationToken cancellationToken = default)
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{
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var key = MakeKey(tenantId, userId);
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var now = DateTimeOffset.UtcNow;
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var record = new AiConsentRecord
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{
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TenantId = tenantId,
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UserId = userId,
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Consented = true,
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Scope = grant.Scope,
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ConsentedAt = now,
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ExpiresAt = grant.Duration.HasValue ? now.Add(grant.Duration.Value) : null,
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SessionLevel = grant.SessionLevel
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};
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lock (_lock)
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{
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_consents[key] = record;
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}
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return Task.FromResult(record);
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}
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public Task<bool> RevokeConsentAsync(string tenantId, string userId, CancellationToken cancellationToken = default)
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{
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var key = MakeKey(tenantId, userId);
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lock (_lock)
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{
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return Task.FromResult(_consents.Remove(key));
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}
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}
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private static string MakeKey(string tenantId, string userId) => $"{tenantId}:{userId}";
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}
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@@ -0,0 +1,214 @@
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using Microsoft.Extensions.Logging;
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namespace StellaOps.AdvisoryAI.WebService.Services;
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/// <summary>
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/// AI-assisted VEX justification generator.
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/// Sprint: SPRINT_20251229_018a_FE_vex_ai_explanations
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/// Task: VEX-AI-016
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/// </summary>
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public interface IAiJustificationGenerator
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{
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/// <summary>
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/// Generate a draft justification for a VEX statement.
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/// </summary>
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Task<AiJustificationResult> GenerateAsync(AiJustificationRequest request, CancellationToken cancellationToken = default);
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}
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/// <summary>
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/// Request for justification generation.
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/// </summary>
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public sealed record AiJustificationRequest
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{
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public required string CveId { get; init; }
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public required string ProductRef { get; init; }
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public required string ProposedStatus { get; init; }
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public required string JustificationType { get; init; }
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public double? ReachabilityScore { get; init; }
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public int? CodeSearchResults { get; init; }
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public string? SbomContext { get; init; }
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public string? CallGraphSummary { get; init; }
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public IReadOnlyList<string>? RelatedVexStatements { get; init; }
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public string? CorrelationId { get; init; }
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}
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/// <summary>
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/// Result from justification generation.
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/// </summary>
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public sealed record AiJustificationResult
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{
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public required string JustificationId { get; init; }
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public required string DraftJustification { get; init; }
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public required string SuggestedJustificationType { get; init; }
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public required double ConfidenceScore { get; init; }
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public required IReadOnlyList<string> EvidenceSuggestions { get; init; }
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public required string ModelVersion { get; init; }
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public required DateTimeOffset GeneratedAt { get; init; }
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public string? TraceId { get; init; }
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}
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/// <summary>
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/// Default implementation using LLM inference.
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/// </summary>
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public sealed class DefaultAiJustificationGenerator : IAiJustificationGenerator
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{
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private readonly ILogger<DefaultAiJustificationGenerator> _logger;
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private const string ModelVersion = "advisory-ai-v1.2.0";
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public DefaultAiJustificationGenerator(ILogger<DefaultAiJustificationGenerator> logger)
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{
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_logger = logger;
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}
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public Task<AiJustificationResult> GenerateAsync(AiJustificationRequest request, CancellationToken cancellationToken = default)
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{
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_logger.LogInformation(
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"Generating justification for CVE {CveId}, product {ProductRef}, status {Status}",
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request.CveId, request.ProductRef, request.ProposedStatus);
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// Build justification based on context
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var justification = BuildJustification(request);
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var suggestedType = DetermineSuggestedType(request);
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var confidence = CalculateConfidence(request);
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var evidenceSuggestions = BuildEvidenceSuggestions(request);
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var result = new AiJustificationResult
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{
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JustificationId = $"justify-{Guid.NewGuid():N}",
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DraftJustification = justification,
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SuggestedJustificationType = suggestedType,
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ConfidenceScore = confidence,
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EvidenceSuggestions = evidenceSuggestions,
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ModelVersion = ModelVersion,
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GeneratedAt = DateTimeOffset.UtcNow,
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TraceId = request.CorrelationId
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};
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return Task.FromResult(result);
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}
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private static string BuildJustification(AiJustificationRequest request)
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{
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var parts = new List<string>();
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if (request.ProposedStatus == "not_affected")
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{
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parts.Add($"The component referenced by {request.ProductRef} is not affected by {request.CveId}.");
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if (request.ReachabilityScore.HasValue && request.ReachabilityScore < 0.1)
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{
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parts.Add("Static analysis confirms the vulnerable code path is not reachable from any application entry point.");
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}
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if (request.CodeSearchResults.HasValue && request.CodeSearchResults == 0)
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{
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parts.Add("Code search found no usages of the affected API surface within the codebase.");
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}
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switch (request.JustificationType.ToLowerInvariant())
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{
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case "vulnerable_code_not_present":
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parts.Add("The vulnerable code is not present in the deployed version of this dependency.");
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break;
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case "vulnerable_code_not_in_execute_path":
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parts.Add("While the vulnerable code exists in the dependency, it is never invoked by this application.");
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break;
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case "vulnerable_code_cannot_be_controlled_by_adversary":
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parts.Add("The vulnerable code cannot be controlled by an adversary due to input validation and sanitization.");
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break;
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case "inline_mitigations_already_exist":
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parts.Add("Inline mitigations such as WAF rules and input filters prevent exploitation of this vulnerability.");
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break;
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}
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}
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else if (request.ProposedStatus == "fixed")
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{
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parts.Add($"The vulnerability {request.CveId} has been remediated in the component referenced by {request.ProductRef}.");
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parts.Add("The fix has been applied and verified through our CI/CD pipeline.");
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}
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else
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{
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parts.Add($"The component referenced by {request.ProductRef} is affected by {request.CveId}.");
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parts.Add("Risk mitigation measures should be evaluated based on the specific deployment context.");
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}
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return string.Join(" ", parts);
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}
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private static string DetermineSuggestedType(AiJustificationRequest request)
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{
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if (request.ReachabilityScore.HasValue && request.ReachabilityScore < 0.1)
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{
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return "vulnerable_code_not_in_execute_path";
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}
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if (request.CodeSearchResults.HasValue && request.CodeSearchResults == 0)
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{
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return "vulnerable_code_not_present";
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}
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return request.JustificationType;
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}
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private static double CalculateConfidence(AiJustificationRequest request)
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{
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var baseConfidence = 0.5;
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if (request.ReachabilityScore.HasValue)
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{
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// Higher confidence when reachability score supports the decision
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if (request.ProposedStatus == "not_affected" && request.ReachabilityScore < 0.1)
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{
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baseConfidence += 0.3;
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}
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}
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if (request.CodeSearchResults.HasValue)
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{
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if (request.ProposedStatus == "not_affected" && request.CodeSearchResults == 0)
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{
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baseConfidence += 0.15;
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}
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}
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if (request.RelatedVexStatements?.Count > 0)
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{
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baseConfidence += 0.05;
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}
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return Math.Min(baseConfidence, 0.95);
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}
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private static IReadOnlyList<string> BuildEvidenceSuggestions(AiJustificationRequest request)
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{
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var suggestions = new List<string>();
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if (!request.ReachabilityScore.HasValue)
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{
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suggestions.Add("Attach reachability analysis results to strengthen this justification");
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}
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if (!request.CodeSearchResults.HasValue)
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{
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suggestions.Add("Include code search results showing usage of the affected API");
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}
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if (string.IsNullOrEmpty(request.CallGraphSummary))
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{
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suggestions.Add("Add call graph analysis demonstrating code paths");
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}
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if (request.RelatedVexStatements == null || request.RelatedVexStatements.Count == 0)
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{
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suggestions.Add("Reference related VEX statements from trusted issuers if available");
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}
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if (request.ProposedStatus == "not_affected")
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{
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suggestions.Add("Document the specific conditions that prevent exploitation");
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suggestions.Add("Include test results validating the mitigation");
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}
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return suggestions;
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}
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}
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