Security solutions for modern infrastructure.
Purpose-built detection and investigation capabilities for every layer of your technology environment.
Cloud Security
Monitor AWS, Azure, and GCP for unusual infrastructure activity. We detect misconfigurations, anomalous API calls, unauthorized resource deployments, and complex multi-stage attacks targeting your cloud control plane.
- Continuous cloud posture behavioral analysis
- Automated mapping of complex IAM relationships
- Detection of cryptomining resource hijacking
- Alerting on unauthorized public data exposure
Detection: ServiceAccount-Web-Prod initiated ec2:RunInstances in unexpected region (eu-central-1), bypassing standard Terraform deployment pipeline.
Identity Security
Identity is the new perimeter. Detect compromised accounts, unusual authentication patterns, MFA bypass attempts, and subtle privilege escalations across Okta, Azure AD, and Google Workspace.
- Baseline profiling for every user and service account
- Detection of impossible travel and anonymous proxies
- Monitoring for dormant account reactivation
- Alerting on unauthorized MFA device registration
Detection: User J.Doe successfully authenticated via Okta from a known home IP, but immediately assumed a high-privilege AWS role they have never historically used.
SaaS Security
Monitor critical SaaS applications like Google Workspace, Microsoft 365, and Salesforce for data exfiltration, unauthorized third-party app connections, and compromised employee accounts.
- Detection of massive data exports or downloads
- Monitoring of external file sharing anomalies
- Auditing of risky OAuth app installations
- Tracking of unauthorized administrative changes
Detection: Marketing user account shared 45 sensitive internal documents via anonymous external links outside of normal working hours.
API Security
Protect your programmatic interfaces. Detect API abuse, credential misuse, unusual consumption patterns, business logic manipulation, and unauthorized data scraping across your application endpoints.
- Behavioral baselining of API token usage
- Detection of credential stuffing attacks
- Monitoring for unusual data payload sizes
- Alerting on broken object level authorization (BOLA) attempts
Detection: Valid API token belonging to 'Partner-App-A' began sequentially iterating through user ID endpoints at 50x its normal request rate.
DevSecOps
Secure your software supply chain. Monitor development environments, CI/CD pipelines, and source code repositories for malicious commits, secret leakage, and compromised build infrastructure.
- Monitoring of GitHub branch protection overrides
- Detection of unauthorized pipeline modifications
- Alerting on anomalous developer machine access
- Tracking of sensitive secret exposure in commits
Detection: Developer account committed code containing an AWS secret key directly to the main branch, bypassing standard pull request reviews.
Security Operations
Empower your SOC team by centralizing detection, investigation, and response. Dramatically reduce mean-time-to-investigate (MTTI) with AI-generated incident summaries and cross-environment correlation.
- Reduction of alert fatigue via risk scoring
- Automated evidence collection for every alert
- Plain-language incident summaries generated by AI
- Unified chronological timelines for complex attacks
AI Summary: Correlated 3 isolated alerts into a single incident: Phishing link clicked (Email) → Credential harvested (Okta) → Data exfiltrated (AWS S3).
Real-world Use Cases
How TrackoVoAI detects and investigates complex attacks.
Detecting a compromised admin account
Scenario
An attacker phishes an IT administrator's credentials and bypasses MFA using prompt fatigue.
Detection
TrackoVoAI observes the successful login, but its behavioral engine flags the subsequent activity: the admin account creates a new overarching IAM role, an action this specific user has never performed in the past year.
Investigation
The AI correlates the MFA fatigue events with the anomalous IAM creation, assigning a Critical risk score and generating a summary that links the specific Okta logs to the AWS CloudTrail logs.
Outcome
The security team immediately locks the account and rolls back the IAM changes before the attacker can deploy malicious infrastructure.
Identifying insider threat patterns
Scenario
A departing employee attempts to subtly steal intellectual property over a period of weeks.
Detection
Traditional DLP rules miss the slow leak. TrackoVoAI's ML baseline establishes the user's normal download volume. Over a 14-day period, the model detects a statistically significant, creeping increase in code repository clones and Google Drive exports.
Investigation
The platform aggregates these minor infractions into a single unified timeline, highlighting that the accessed repositories are outside the employee's current project scope.
Outcome
HR and Legal are notified with a complete forensic timeline of the data exfiltration prior to the employee's departure.
API credential abuse detection
Scenario
A vendor's long-lived API key is accidentally committed to a public repository and subsequently abused by malicious bots.
Detection
TrackoVoAI detects that the API key, which normally originates from a static set of vendor IPs in the US, is suddenly making high-volume requests from residential proxy networks in multiple countries.
Investigation
The AI correlates the IP anomaly with a sudden shift in the types of API endpoints being accessed (shifting from data ingestion to data querying).
Outcome
The compromised API key is automatically revoked via an integrated SOAR playbook, preventing massive customer data scraping.
Supply chain attack early warning
Scenario
A third-party CI/CD runner is compromised, and attackers attempt to inject malicious code into a production build.
Detection
TrackoVoAI monitors the CI/CD pipeline and detects that the build process is attempting to establish outbound network connections to unknown external IPs during the dependency resolution phase.
Investigation
The platform flags the anomalous network traffic and correlates it with a recent, unverified modification to the pipeline configuration file.
Outcome
The build is halted automatically, and the security team investigates the poisoned dependency before it reaches the production environment.
Built for modern industries
SaaS & Tech
Protect customer data, secure complex microservice architectures, and monitor high-velocity CI/CD pipelines.
Fintech
Meet strict compliance requirements, detect subtle financial fraud patterns, and secure sensitive transactional APIs.
E-commerce
Defend against credential stuffing, monitor customer data access, and secure massive cloud infrastructure deployments.
Healthcare Tech
Ensure HIPAA compliance, detect unauthorized access to PHI, and monitor complex B2B integration endpoints.
Enterprise
Unify visibility across hybrid environments, monitor massive employee directories, and reduce SOC alert fatigue.
Startups
Deploy enterprise-grade security monitoring instantly without requiring a large dedicated security engineering team.