Security
experience
Plank teams have built AI systems for threat detection, code vulnerability analysis, VPN and access monitoring. We’ve delivered LLM-powered scanning, anomaly detection, and red team automation.
AI-Powered Threat Detection and Anomaly Monitoring
- Use ML models to detect suspicious patterns in network traffic, API usage, and login behavior in real time.
- Apply unsupervised learning to baseline normal activity and surface anomalies across users, devices, and services.
- Trigger alerts and initiate response workflows enriched with contextual insights.
Code and Infrastructure Vulnerability Detection
- Analyze codebases, dependencies, and build pipelines using AI to flag insecure patterns and outdated packages.
- Augment static and dynamic code analysis tools with LLMs that explain vulnerabilities, suggest patches, and prioritize risk.
- Continuously monitor CI/CD pipelines for secrets, misconfigurations, and security regression using predictive checks.
AI-Augmented Penetration Testing and Red Team Ops
- Simulate attacks using agent-based models that adapt to system responses and target weak spots across web, mobile, and cloud.
- Auto-generate fuzzing inputs, credential permutations, and payload variants based on system context.
- Summarize attack paths, privilege escalation chains, and exploit feasibility using AI-generated penetration reports.
Intelligent Access and Identity Management
- Detect and respond to abnormal access patterns across VPNs, SSO, and IAM policies using behavioral modeling.
- Use LLMs to audit policy misconfigurations, over-permissive roles, and unused credentials.
- Provide real-time access recommendations and just-in-time permissions based on historical behavior.
Secure Software and API Defense
- Auto-generate API schemas and endpoint risk profiles to detect exposed attack surfaces.
- Use AI to analyze request/response logs, detect injection attempts, and block anomalous patterns.
- Implement semantic payload validation and token abuse detection in real-time.
Operational Security and Continuous Hardening
- Use telemetry and alert feedback loops to continuously improve model accuracy and reduce alert fatigue.
- Automate infrastructure hardening recommendations based on detected patterns and emerging threats.
- Maintain audit-ready logs and remediation timelines with AI-assisted tagging and traceability.
Engineers we’ve worked with
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