Unified Threat Intelligence

CyberIQ

One AI engine ingesting logs, code, and network traffic simultaneously. Delivers risk scoring with full explainability across the entire attack surface.

Full-spectrum ingestionRisk scoringExplainable AIMITRE ATT&CK mapping

Three Modules, One Engine

Source code, logs, and network traffic feed three modules simultaneously. A correlation layer connects findings across all three so a single vulnerability or anomaly is understood in full context.

CodeIQCode Intelligence

Reads source code and repositories to find vulnerabilities, unsafe patterns, and exposed secrets before deployment. Also supports rapid vulnerability mapping in adversarial or captured code (Gov & Defense).

LogIQSystem Intelligence

Reads system and application logs to detect anomalous behavior, brute-force attempts, unauthorized access, and audit-trail anomalies. Leads for Financial Services and Healthcare IT.

NetworkIQNetwork Intelligence

Reads packets and connections to detect intrusions, lateral movement, and abnormal traffic patterns. Available as firms extend beyond code and log coverage.

Correlation EngineCross-Layer Intelligence

Connects code-level findings to log-level detection rules and network-level signals so a single vulnerability or anomaly is understood in full context rather than in isolation.

Financial Services

Stop breaches at the source by securing code before it ships and detecting anomalies as they happen.

CyberIQ helps financial services firms secure customer-facing APIs, core banking systems, and the dense compliance surface of PCI-DSS, SOX, and GLBA. CodeIQ and LogIQ lead the deployment. NetworkIQ is available as firms extend into network-layer detection. Findings are explained in plain language, not as raw rule violations, and mapped to applicable compliance frameworks, paired with a specific recommended fix.

Secure API & Application Dev

SQL injection and unsafe-query detection before deployment

Insecure credential handling in customer-facing services

Vulnerable or outdated third-party dependency detection

Fraud-Adjacent Anomaly Detection

Unusual account-access patterns in logs

Privilege escalation and insider-threat indicators

Correlation between code changes and post-deployment access anomalies

Compliance Mapping

PCI-DSS: secure coding and access-logging for cardholder data environments

SOX: change-control and audit-trail relevant findings

GLBA: customer financial information safeguarding across code and logs

Sample Finding

CriticalCustomer Search Service

Potential SQL injection vulnerability detected in a query against customer account data. Recommendation: replace string concatenation with parameterized queries.

Suggested secure implementation attached. Engineering team should review before next release.

Government & Defense

Air-gapped mission software assurance, with dual-use adversarial code intelligence.

CyberIQ is proving out in the hardest environments first: defense and intelligence community customers who need air-gapped deployment and adversarial code analysis. CodeIQ, LogIQ, and NetworkIQ all support disconnected or classified-network operation. CodeIQ's dual-use design also supports rapid vulnerability mapping in adversarial or nation-state code samples, a capability with no direct commercial equivalent.

Mission Software Assurance

Evaluating mission software against organizational security standards

Generating review artifacts to support software assurance initiatives

Identifying common software weaknesses before deployment

Dual-Use Code Intelligence

Defensive scanning of a program's own codebase before it ships

Rapid vulnerability mapping in adversarial or nation-state code samples

Air-Gapped Operations

Full CodeIQ, LogIQ, and NetworkIQ operation without internet connectivity

Evidence and findings retained locally within the enclave

NIST 800-53 and RMF findings mapping for program authorization support

Sample Finding

CriticalMission Component Alpha

Unauthenticated input path detected into a component handling mission-critical data. Recommendation: add authentication and input validation prior to next release candidate.

Program security team should review before next release candidate.

Healthcare IT

Catch ransomware early, flag unauthorized EHR access, and secure patient-facing apps.

CyberIQ is available for healthcare IT teams, with LogIQ and NetworkIQ leading for compliance and ransomware-defense use cases. This is distinct from CareIQ, which addresses physical patient safety. CyberIQ addresses the IT security and compliance layer behind electronic health records, patient portals, and connected medical devices, covering the specific combination of ransomware exposure, EHR audit requirements, and expanding device attack surface.

Ransomware Early Detection

Lateral-movement pattern detection across the clinical network

Correlated log and network findings for faster containment decisions

EHR Access Compliance

Unauthorized or unusual access-pattern detection against assigned care responsibilities

Audit-trail-relevant findings to support HIPAA Security Rule review

Connected Medical Device Monitoring

Baseline network behavior for connected devices

Anomaly detection without disrupting device operation

Sample Finding

CriticalClinical Network Segment 4

Lateral-movement pattern consistent with early-stage ransomware behavior detected. Recommendation: isolate affected segment pending IT security review.

IT security team should review and consider segment isolation immediately.

Responsible AI

Analyzes code, logs, and network metadata, not customer account contents directly

No autonomous remediation action in production without human approval

Access to findings follows the firm's existing role-based access controls

Air-gapped deployment keeps analysis fully disconnected where required

FAQ

Deploy CyberIQ across your stack

Integrates into your existing IDE, CI/CD pipeline, and SIEM infrastructure. No rebuild required.