Not a SIEM. An autonomous SOC platform.
IronCloud AI is a risk-driven security operations platform and managed SOC. It ingests telemetry from every layer, applies multi-agent AI reasoning, and surfaces only what matters, cutting alert noise by up to 90% through continuous learning.
Years in the industry
Customer retention
Clients worldwide
Certified security professionals
Time to go live
Autonomous. Intelligent. Always-on defense.
Security operations as software
IronCloud AI redefines security operations by delivering autonomous, intelligence-driven outcomes through software: protection, resilience, and risk reduction without the operational burden.
Security Operations as Software. AI, intelligence, and deep environment awareness turn security events into decisions, and decisions into measurable outcomes.
- Eliminate alert fatigue through AI-driven decision intelligence
- Run autonomous SOC operations with a lean team
- Turn telemetry into decision-ready insight and risk readiness
- Improve continuously through learning loops and built-in intelligence
- Integrate deeply with customer ecosystems to deliver outcomes
- Make risk traceable and measurable, and operations resilient
One AI-powered platform. Complete security.
Built-in SIEM, XDR, SOAR, threat intelligence, and risk analytics, across hybrid, cloud, and on-premise environments.
SIEM & XDR
Unified real-time detection and response across endpoints, networks, cloud, and workspaces.
Threat hunting
Proactive, AI-driven search for threats that are already inside and have not tripped a rule.
VAPT
Vulnerability assessment and penetration testing that finds gaps and drives remediation.
SecOps & analytics
Automation, orchestration, and business-aligned insight for a lean operations team.
Compliance
Continuous monitoring for PCI DSS, ISO 27001, SOC 2, HIPAA, NIST, GDPR, and more.
Risk analytics
Risk scoring, executive reporting, and security posture management in one view.
Trusted platform. Proven results.
Four stages between raw telemetry and a closed incident. Most alerts never reach a human.
Classifies more than 10,000 alerts a day at 95%+ accuracy and auto-closes false positives instantly.
A multi-agent engine correlates events, builds attack timelines, and writes the full incident context.
Every alert is enriched in real time from global IP, malware, and CVE feeds.
Remediation playbooks execute in under ten seconds once the confidence threshold is met.
IronCloud AI core functionality
A multi-agent engine, not a single model. Each agent owns a job and shares what it learns.
Data pipeline with the IronCloud AI engine
Five stages from ingestion to response, with a guardrail layer in front of every AI call and inference that never leaves your environment.
Guardrail and filter layer: access control, read-only queries, query limits, and sensitive-field masking before any AI processing.
Endpoints, servers, cloud (AWS, Azure, GCP), network, identity (AD, Okta), and apps, unified through IronCloud agents.
Event standardization, rule metadata enrichment, deduplication, and real-time correlation into incidents.
Historical tickets cleaned, PII masked, and embedded into a Qdrant vector store for similarity search.
An on-premise vLLM (Mistral or Phi-4) filters false positives, classifies severity, reconstructs timelines, and explains each call.
The SOC dashboard surfaces prioritized incidents with AI explanations, risk scores, and remediation steps.
What IronCloud watches
Eight telemetry domains, correlated in real time. Pick one to see the signals it covers.
Network security
- Traffic anomalies such as unusual spikes and large outbound transfers
- Unauthorized port access or scans
- IDS and IPS alerts
- DNS anomalies
- Protocol misuse, for example HTTP over non-standard ports
Threat intelligence capabilities
Global indicators, correlated against your own events and mapped to MITRE ATT&CK.
Multiple threat intelligence sources feed the platform:
- Malicious IP addresses
- Domains and URLs
- File hashes (MD5, SHA1, SHA256)
- CVE and exploit indicators
- IoCs stored and continuously matched against incoming events
Threat intelligence is correlated with:
- Network connections
- DNS queries
- Endpoint process execution
- File integrity events
- Authentication and access logs
Rules and decoders are used to:
- Match observed indicators against known threats
- Assign severity levels
- Trigger alerts and incidents
- Reduce false positives with context-aware rules
Detected threats map to ATT&CK techniques, enabling:
- Standardized threat classification
- Improved threat hunting
- SOC maturity benchmarking
- Executive and compliance reporting
Out of the box, IronCloud integrates with:
- VirusTotal
- AbuseIPDB
- AlienVault OTX
- MISP
- Custom REST and API feeds
Threat intelligence alerts can trigger:
- Firewall blocks
- EDR containment actions
- SIEM and SOAR workflows via APIs and webhooks
- Ticketing systems such as ServiceNow and Jira
Why IronCloud AI
Fewer analyst alerts
Auto-response time
AI triage accuracy
AI handles the noise
Analysts focus on the real threats that need human judgment.
Data never leaves
On-premise LLM and SLM inference. Nothing is sent to external AI APIs.
Instant playbooks
A threat at 90%+ confidence fires its playbook in under ten seconds.
Global threat intel
IP reputation, malware hashes, and CVE feeds enrich every alert.
Multi-model AI
Reasoning trained on security corpora, not generic machine learning.
Audit-ready reports
SOC 2, ISO 27001, and NIST CSF compliance reports generate themselves.
90% of security alerts resolved automatically. Analysts focus on what truly matters.
IronCloud AI in action, by industry
BFSI
- Threats
- Insider trading, payment fraud, SWIFT manipulation, ransomware on core banking.
- Response
- UEBA anomaly detection, AI-correlated fraud blocking in under two seconds, lateral movement containment.
- Compliance
- PCI DSS, RBI, SOC 2
Healthcare
- Threats
- PHI exfiltration, IoMT compromise, EHR ransomware, supply chain attacks.
- Response
- Data access anomaly detection, device quarantine, vendor C2 blocking, IR automation.
- Compliance
- HIPAA, HITECH, HL7 FHIR
Retail
- Threats
- POS malware, credential stuffing, API abuse, third-party plugin compromise.
- Response
- Transaction anomaly isolation, botnet IP blocking, WAF rule auto-push.
- Compliance
- PCI DSS, GDPR, CCPA
Telecom
- Threats
- SIP flood and DDoS attacks, fraud, authentication failures, anomalous traffic, config tampering, unauthorized SIP invites.
- Response
- SIP traffic analytics, AI-powered fraud detection, PII detection.
- Compliance
- ISO 27701, SOC 2, NIST, CIS Controls
Not a SIEM. An autonomous SOC platform.
Traditional SIEMs store logs and fire rules. IronCloud AI investigates, reasons, and acts, automatically.
SOC capability embedded inside software
Delivered as software with a service layer around it, on your infrastructure or ours.
Delivered as software
- Detection
- AI triaging
- Threat intelligence
- Risk modelling
- Correlation and analytics
- Continuous learning
- Knowledge base
Delivered as a service
- Custom SOC workflows
- Environment tuning
- Continuous optimization
- Attack simulations
- Detection evolution
- Risk contextualization
- Correlation and analytics
SaaS, pay as you go
Subscribe to IronCloud AI as a service for fast deployment and easy administration.
Self-hosted licence
On-premise or in customer-owned cloud, for environments that need full control of data.
- Security posture management
- Vulnerability management
- Network security scanning
- Unlimited devices and VAPT scans
- Cyber threat intelligence
- API and web pen testing
- Patch monitoring
- Hybrid infrastructure, SAST, DAST
- Compliance controls management
- PCI DSS and GDPR pen testing
- 10+ compliance standards supported
- Specialists in SMB and mid-market
Security client success
Bolster Enterprise IT Security and Safeguard Operations for a Leading Pharmaceutical Contract Manufacturer in under 12 weeks
Streamline Global Network Operations and Enhance Security for a Global, Top 10 Networking Leader
Transform IT, Secure Patient Data and IT Operations for Leading Cancer Center Treating Over 100,000 Patients Annually
See IronCloud AI on your own telemetry
A guided demo on a sample of your environment: what it ingests, what it filters, and what it would have acted on.