A comparison tool to validate consistency between batch and stream processing outputs.
Automates creation, selection, and transformation of ML features.
Generates high-quality fake data to replace or augment real datasets.
Detects shifts in incoming data compared to training data in ML pipelines.
A toolkit to anonymize personally identifiable information (PII) and other sensitive data fields.
Tracks who accessed sensitive data, when, and why — with reports for regulators and internal audits.
Continuously scans cloud infrastructure against CIS, NIST, or custom compliance benchmarks.
AI-assisted log analysis to detect suspicious events or non-compliant actions across systems.
Automatically generates a compliance readiness score for frameworks like GDPR, HIPAA, SOC 2, and ISO.
A toolkit to audit, track, and visualize access controls across apps, services, and cloud environments.
Set up automated rollback workflows triggered by failed health checks, latency spikes, or bad deploys.
Manage API keys, DB credentials, tokens, and certificates securely with audit trails and access control.
On-demand creation of isolated dev/test environments using containers or ephemeral cloud resources.
Configure dynamic auto-scaling for applications based on custom metrics like CPU, memory, queue depth, or traffic.
Reusable IaC templates for rapid, standardized, and secure provisioning of cloud infrastructure across environments.
Identify customers at risk of leaving using historical data and take proactive retention actions.
Automatically classify and tag large volumes of documents for faster search, compliance, and workflow automation.
Streamline the deployment and performance monitoring of ML models with a centralized dashboard.
Deploy an intelligent, conversational assistant to answer HR onboarding queries and automate routine HR workflows.
Analyze customer messages in real-time to detect sentiment and urgency, enhancing ticket triaging and support quality.
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