Security Integration

Firewall with deep packet inspection (DPI), application control, integrated intrusion prevention (IPS) and correlation with threat intelligence. Replaces traditional stateful firewalls at IT and OT perimeters.

Structured audit of the firewall rule base: identifies obsolete, redundant, overly permissive (any-any) and conflicting rules. Delivers phased optimization, with before-and-after metrics and a roadmap for ongoing governance.

Threat detection through network traffic analysis (metadata and payload). Identifies lateral movement, command and control, data exfiltration and anomalous behavior without relying on agents on the endpoints.

Web traffic filtering via proxy or SWG, with URL control, web DLP, download sandboxing, TLS inspection and protection against browser-based malware.

Email security gateway with anti-phishing, attachment sandboxing, time-of-click URL analysis, DMARC, DKIM and SPF enforcement and protection against BEC (Business Email Compromise).

Authentication and authorization of devices connected to the network (802.1X), automatic endpoint identification, quarantine of non-compliant devices and profile-based access policies.

Honeypots, honeytokens and decoys distributed across the network and endpoints to detect lateral movement and attackers already inside the perimeter. Extremely low false-positive noise: any interaction is suspicious.

Mitigation of distributed denial-of-service attacks at layers 3, 4 and 7, with an on-premises appliance, cloud scrubbing or a hybrid model, with automatic detection and mitigation in under one second.

Logical segmentation by workload and application, not just by network. Limits lateral movement in flat environments and data centers, and is essential for Zero Trust in the internal environment.

Remote access based on identity, device and context, not on IP or VPN. Replaces traditional VPNs with the “never trust, always verify” principle, with granular per-application policies.

Visibility and control over SaaS use: Shadow IT discovery, cloud DLP, encryption of data in SaaS, compliance and detection of anomalous use.

Outbound proxy with URL filtering, malware inspection, TLS decryption and enforcement of the acceptable use policy. Usually delivered from the cloud, as part of SASE.

Continuous assessment of resource configuration in AWS, Azure and GCP against frameworks such as CIS Benchmarks and NIST, with detection of misconfigurations, drift and non-compliance, and remediation guidance.

Unified platform covering CSPM, workload protection (CWPP), Kubernetes posture (KSPM) and identity permissions (CIEM). Protects cloud-native workloads from build to runtime.

Convergence of networking (SD-WAN) and cloud security (SWG, CASB, ZTNA and FWaaS) in a single platform, delivered as a service. Reference architecture for protecting distributed teams.

Behavioral detection on endpoints with continuous telemetry, machine learning analysis, autonomous response (kill a process, isolate a host, roll back changes) and retroactive threat hunting over historical data.

Transparent disk encryption (BitLocker, FileVault, LUKS) with centralized management of recovery keys, policy-based enforcement and protection against device loss or theft.

Automated patching of operating systems and third-party applications, prioritized by risk (CVSS and threat intelligence), with controlled maintenance windows and post-patch compliance validation.

Centralized management of mobile devices (iOS, Android, Windows): enrollment, policies, remote wipe, separation between corporate and personal use and app management (MAM).

Prevention of sensitive data leakage across network, endpoint and cloud, with content inspection (regular expressions, machine learning, fingerprinting), automatic classification and context-based blocking across multiple channels.

Correlation of endpoint, network, identity, cloud and email telemetry in a unified platform, with contextualized detections and orchestrated response across the entire stack.

Privileged credential vault, session recording, automatic password rotation, just-in-time access and approval workflow for administrative and service accounts.

Second authentication factor (push, TOTP, FIDO2, biometrics) integrated with SSO, VPN and critical applications, against attacks based on stolen credentials.

Just-in-time privilege elevation on endpoints, with no permanent local administrator, granular control of application execution and mitigation of attacks that depend on escalation.

Federated authentication (SAML, OIDC, OAuth 2.0) for unified access to SaaS and on-premises applications, with centralized policy, session management and less password fatigue.

Identity-focused threat detection: compromised accounts, Golden Ticket, Kerberoasting, DCSync, privilege escalation in AD and Entra ID and lateral movement through identity.

Vault and lifecycle of non-human secrets (API keys, tokens, TLS certificates, service credentials), with automatic rotation, secure injection at runtime and auditing.

Continuous vulnerability scanning of servers, network and infrastructure, authenticated and unauthenticated, with contextual risk-based prioritization: whether an exploit exists and how critical the asset is.

Vulnerability scanning of web applications (OWASP Top 10): SQLi, XSS, broken authentication and misconfigurations, with manual validation to reduce false positives.

Vulnerability analysis of container images (components, malware and embedded secrets) from build to runtime, with CI/CD policies and admission control in Kubernetes.

Static analysis of Infrastructure as Code (Terraform, CloudFormation, ARM, Kubernetes manifests) to find misconfigurations and compliance violations before deployment.

Mapping of identity exposures: misconfigured privileged accounts, escalation paths, dangerous ACLs and unprotected delegations in Active Directory and Entra ID.

Combination of CSPM (configuration) and CIEM (cloud identity permissions) for continuous governance of posture and effective permissions in multicloud environments.

Graph of the possible attack paths between entry points and the most critical assets. Finds the choke points whose remediation breaks several paths at once and maximizes the return on remediation.

Continuous discovery and monitoring of internet-facing assets (domains, subdomains, IPs, services, certificates) from an external attacker’s point of view: what they see first.

Discovery and protection of exposed AI-related surfaces: models, prompts, LLM endpoints, corporate shadow AI and leakage of sensitive data through chatbots.

Consolidation and executive reporting of cyber exposures, with dashboards, exposure reduction KPIs, trends and comparison with industry benchmarks for senior leadership.

Threat intelligence feeds and analysis (IOCs, TTPs, actors) with sector and regional context, integration with defense tools (SIEM, EDR) and executive briefings.

External, continuous assessment of security posture, as a score or letter grade, based on signals observable from the outside. Used in third-party risk management (TPRM) and in market comparisons.

Automated collection of compliance evidence (SOX, PCI-DSS, ISO/IEC 27001, LGPD, NIST CSF) and continuous verification of controls, with compliance dashboards and an exception workflow.

Security awareness platform, with gamified training tracks, in-context microlearning, knowledge tests and engagement reports by department and role.

Recurring phishing simulations with realistic pages, per-user tracking, on-the-spot training for those who click and comparative reports by department, hierarchy and trend.

Continuous, automated simulation of known techniques (MITRE ATT&CK) to validate the controls and the SOC’s detection coverage. Shows the gap between “we have the tool” and “it works”.

Continuous discovery and classification of the attack surface, internal and external, with risk-based prioritization of exposures and mapping against the business’s most critical assets.

Autonomous, continuous red team: simulates adversaries with defined objectives (critical assets, escalation, exfiltration) and revalidates defenses 24x7.

Runtime protection of web applications at layer 7 against the OWASP Top 10, malicious bots, application-layer DDoS and targeted attacks, with positive and negative rules and machine learning detection.

Static analysis of source code to find vulnerabilities (SQLi, XSS, buffer overflow, insecure use of cryptography) without running the application. Runs early in the development cycle.

Dynamic testing of the running application, simulating external attacks without access to the code. Complements SAST by finding runtime and configuration vulnerabilities.

API-specific protection (REST, GraphQL, gRPC): discovery and inventory, OWASP API Top 10 testing, rate limiting and runtime protection against attacks such as BOLA, BFLA and Mass Assignment.

Security built into the development cycle: automated SAST, DAST and SCA in CI/CD, configurable security gates, automated threat modeling and shift-left of security practices.

Analysis of open source libraries and third-party components to find known vulnerabilities (CVEs), license issues and supply chain risks, such as typosquatting and malicious packages.

Security for containerized applications: base image hardening, admission control, runtime protection, visibility in Kubernetes and detection of anomalous behavior in pods.

Consolidates and prioritizes application security findings from multiple tools (SAST, DAST, SCA, WAF, pentest) in a single platform, with correlation and deduplication.

Detection and mitigation of malicious bots (credential stuffing, scraping, inventory hoarding, account takeover) with behavioral fingerprinting, adaptive challenges and machine learning for evasive bots.

24x7 managed threat detection, investigation and response service. Combines technology (SIEM, EDR, NDR, XDR), people (Tier 1 to 3 analysts) and process (playbooks) under measurable SLAs.

SOAR platform and playbook engineering delivered as a service. Automates incident triage, enrichment, containment and response, reduces MTTR and frees analysts for complex cases.

SIEM platform hosted and fully operated by Vortex; the client consumes the service by sending its logs. Reduces total cost, eliminates operational complexity and speeds up the return.

Passive discovery and continuous inventory of OT and ICS assets (PLCs, HMIs, SCADA, historians, RTUs), with identification without operational impact and a map of the communication between the zones of the Purdue model.

Protection of industrial endpoints (HMI and engineering workstations, historians) with application allowlisting, hardening and anti-malware compatible with the OT environment: low resource consumption and no reboots.

Vulnerability management in OT, prioritized by zone criticality, respecting industrial maintenance windows and with compensating mitigations when patching is not feasible.

OT network security with industrial firewalls that understand the Purdue model and the protocols, segmentation into zones and conduits in line with IEC 62443 and protection of the IT/OT boundary (industrial DMZ).

Detection of OT-specific threats: anomalies in industrial protocols (Modbus, DNP3, OPC-UA, S7), malicious commands, deviations from normal operational behavior and destructive threats such as TRITON.

OT governance aligned with IEC 62443 and NIST SP 800-82: policies, procedures, IT and OT roles and change management in the industrial environment.

Secure remote access to OT assets with dedicated jump servers, session recording, MFA, pre-approved access windows and approval by the responsible engineer.

Automated discovery and classification of sensitive data, structured or unstructured, in file shares, databases, cloud storage, SaaS and endpoints. The foundation for effective DLP and DSPM.

Continuous visibility into where sensitive data is, who has access, how it is configured and where there is a risk of exposure, with a focus on cloud and SaaS and correlation between identity, data and configuration.

Governance of who accesses which data: continuous auditing of permissions in file shares and SaaS, periodic recertification, detection of anomalous access and cleanup of legacy access.

Automation of LGPD and GDPR processes: mapping of personal data processing, consent management, handling of data subject rights and impact assessments (DPIA, or RIPD under the LGPD).

Management of the data lifecycle: retention policies, archiving, secure disposal and legal hold in line with regulatory and business requirements.

Governance of AI use in the organization: inventory of AI systems, risk assessment by use case, compliance with the EU AI Act and NIST AI RMF, shadow AI monitoring and responsible use policies.