Scans exposed data dumps using AI to match user credentials.

Alerts users of leaked usernames/passwords with confidence scoring.

Scans messages for social engineering tricks like urgency or impersonation.

 Uses NLP to flag phishing, scams, and manipulative content in real time.

Unsupervised clustering on flow data to highlight outliers.

Spot suspicious patterns in network logs.

Summarizes CVE descriptions and groups by severity. Condense security bulletins into actionable highlights.

Classifies URLs as phishing or safe using lexical features and metadata.
leverage NLP and ML to block deceptive web links in real-time.

Inspects HTTP request patterns for anomalies and abuse signatures.

Detect malicious payloads, injection attempts, and API misuse using NLP and sequence models.