Autonomous AI agents that run your security operations center 24/7
Automate routine security tasks and let AI agents handle monitoring, analysis, and coordination while your team focuses on strategic initiatives
Agents that automate and streamline security operations for continuous protection
Coordinates and manages security operations workflows, automating routine tasks and escalating critical issues
Key Capabilities
Processes and analyzes security logs from all sources to identify patterns, anomalies, and security events
Key Capabilities
Continuously tracks and monitors all assets across your infrastructure, cloud, and SaaS environments
Key Capabilities
Monitors user access patterns, permissions, and activities to detect unauthorized access or privilege abuse
Key Capabilities
Tracks vulnerabilities and patches across your environment, prioritizing and automating patch deployment
Key Capabilities
Generates real-time security metrics, KPIs, and reports for stakeholders and compliance requirements
Key Capabilities
Agents monitor logs, assets, and activities around the clock without fatigue
Automated responses to routine events and immediate escalation of critical issues
Agents handle routine tasks while keeping your team informed and in control
Security teams are overwhelmed by alert volume, tool sprawl, and a global talent shortage that shows no signs of easing
The average SOC receives over 11,000 alerts per day, yet analysts can realistically investigate fewer than 100. Hunto AI’s SOC Orchestrator and Log Analyzer agents process every alert, correlate related events, and surface only the incidents that require human judgement — cutting noise by over 95%.
ISC² estimates a global shortage of 3.4 million cybersecurity professionals. AI agents bridge this gap by handling routine monitoring, log analysis, access reviews, and patch management that would otherwise require two to three full-time analysts. Your existing team operates at the capacity of a much larger department.
Enterprises run an average of 76 security tools. Hunto AI’s agents connect to your SIEM, EDR, cloud providers, identity platforms, and ticketing systems through pre-built integrations — creating a unified operational layer that eliminates swivel-chair workflows between disconnected dashboards.
Most breaches happen outside business hours when staffing is lowest. Autonomous agents provide true 24/7/365 coverage without shift scheduling, on-call burnout, or after-hours staffing costs. Response time stays constant whether the alert fires at 2 PM or 2 AM.
Track the KPIs that demonstrate real security posture improvement, not just activity volume
How quickly threats are identified. Hunto AI reduces MTTD to near real-time through continuous monitoring and automated log correlation.
Time from detection to containment. Autonomous response playbooks cut MTTR from hours to minutes for common incident types.
Percentage of alerts that represent true incidents. AI triage reduces false positive escalation rate by over 90%.
Percentage of critical vulnerabilities patched within SLA. The Patch Manager agent tracks, prioritises, and validates patches across your estate.
Whether user permissions match the principle of least privilege. The Access Auditor continuously validates and flags privilege creep.
Percentage of infrastructure with active monitoring coverage. The Asset Monitor discovers shadow IT and unmanaged assets automatically.
Common questions about AI-powered security operations with Hunto AI
It means AI agents handle the operational tasks that traditionally require human SOC analysts: monitoring logs, triaging alerts, correlating events, managing patches, auditing access permissions, and generating reports. Agents execute this work continuously, 24/7, while your team retains full visibility and control over escalation decisions and strategic priorities.
The Log Analyzer and SOC Orchestrator agents use contextual enrichment — asset criticality, user behaviour baselines, threat intelligence, and historical alert patterns — to score each alert before it reaches a human. Over 90% of false positives are suppressed automatically, and the model continuously learns from analyst feedback to improve accuracy over time.
Yes. Hunto AI integrates with major SIEMs including Splunk, Microsoft Sentinel, Elastic Security, Google Chronicle, and IBM QRadar. Agents ingest alerts and log data through standard APIs and webhook integrations, enriching your existing detection rules with autonomous triage and response capabilities without replacing your core SIEM investment.
The Asset Monitor agent continuously scans your cloud environments (AWS, Azure, GCP), on-premises networks, and SaaS applications to discover all assets including shadow IT. New assets are automatically classified, tagged with ownership information, and monitored for configuration changes, ensuring nothing falls outside your security perimeter.
The Metrics Reporter generates customisable dashboards and scheduled reports covering MTTD, MTTR, alert volume trends, patch compliance, access review status, and asset coverage. Reports can be formatted for different audiences — executive summaries for the board, detailed operational reports for the SOC, and compliance-specific views for auditors.
Most organisations are fully operational within one week. Deployment starts with connecting your data sources (SIEM, cloud accounts, identity provider), after which agents begin baseline learning. Pre-built integrations and playbooks mean you see value from day one, with progressive tuning during the first 30 days to match your specific environment and escalation procedures.
Let AI agents handle the operational burden while your team focuses on what matters
