Autonomous AI agents that hunt, identify, and analyze threats 24/7
Deploy specialized agents that continuously monitor for threats across your digital landscape - from the dark web to your infrastructure
Each agent focuses on a specific threat vector, working together to provide comprehensive coverage
Continuously scans dark web forums, marketplaces, and paste sites for leaked credentials, threat actor discussions, and stolen data
Key Capabilities
Collects and correlates threat intelligence from multiple sources including open-source, commercial feeds, and community reports
Key Capabilities
Identifies security vulnerabilities across your attack surface including web apps, APIs, network services, and infrastructure
Key Capabilities
Uses machine learning to identify unusual patterns in network traffic, user behavior, and system activities that may indicate threats
Key Capabilities
Proactively hunts for malware, backdoors, and malicious code across endpoints, servers, and cloud environments
Key Capabilities
Monitors for phishing campaigns, brand impersonation, and social engineering attacks targeting your organization
Key Capabilities
Select and activate the detection agents relevant to your threat landscape
Agents work autonomously 24/7 to identify threats and suspicious activities
Get real-time notifications with context and recommended actions
Organisations face an expanding attack surface and increasingly sophisticated adversaries. Manual threat hunting cannot keep pace.
Employee credentials, customer databases, and proprietary source code are traded on dark web marketplaces daily. The Dark Web Monitor agent scans forums, paste sites, and Telegram channels around the clock, alerting you within minutes of a leak — not weeks after the damage is done.
Attackers register lookalike domains, clone websites, and create fake social media profiles to trick your customers and employees. The Phishing Detector agent monitors for brand abuse across domain registrations, email campaigns, and social platforms, coordinating takedowns before victims are harmed.
Shadow IT, forgotten subdomains, exposed APIs, and misconfigured cloud storage create blind spots adversaries exploit. The Vulnerability Scanner agent continuously maps your external attack surface and identifies exposures before threat actors find them, including zero-days and misconfigurations.
Six specialised agents work in concert to cover every threat vector, from your perimeter to the deep web
Monitors dark web marketplaces, stealer logs, and paste sites for leaked employee and customer credentials. Alerts include the source, exposure date, and affected accounts so your team can force password resets immediately.
Continuously scans external-facing assets for known CVEs, zero-day indicators, and configuration weaknesses. Findings are prioritised by exploitability and asset criticality, not just CVSS score.
Hunts for indicators of compromise across endpoints, network traffic, and cloud workloads. Detects fileless malware, command-and-control beacons, and lateral movement patterns that signature-based tools miss.
Identifies phishing infrastructure targeting your brand — including lookalike domains, cloned login pages, and spear-phishing email patterns — and coordinates takedown actions with registrars and hosting providers.
Monitors third-party vendors, open-source dependencies, and partner integrations for compromise indicators. Correlates vendor breach intelligence with your own exposure to assess downstream risk.
Common questions about AI-powered threat detection with Hunto AI
A SIEM collects and correlates logs based on predefined rules, but it requires constant rule tuning and generates high volumes of false positives. Hunto AI's autonomous agents go further: they proactively hunt for threats across the dark web, external attack surface, and brand impersonation channels, correlate findings with contextual intelligence, and deliver actionable alerts with recommended next steps — all without writing detection rules.
Agents monitor dark web forums and marketplaces, paste sites, Telegram channels, domain registrations, SSL certificate transparency logs, social media platforms, open ports and services, cloud configurations, vulnerability databases, and commercial and open-source threat intelligence feeds. Coverage expands automatically as new sources become relevant.
Detection latency depends on the threat vector. Credential leaks on paste sites are typically flagged within minutes of posting. New lookalike domain registrations are caught within hours. Vulnerability scans run continuously with findings prioritised in real time. On average, Hunto AI reduces mean time to detect (MTTD) by over 80% compared to manual monitoring approaches.
Yes. You can activate or deactivate individual detection agents to match your threat model. For example, a SaaS company might prioritise credential monitoring and phishing detection while a financial institution might emphasise dark web surveillance and supply chain risk. Each agent's sensitivity thresholds and alerting preferences are fully configurable.
During an initial baseline period (typically 7 to 14 days), the Anomaly Detector observes patterns in network traffic, user behaviour, API call volumes, and system metrics. It builds statistical models of normal activity and then continuously compares real-time data against these baselines. The model adapts over time to reflect legitimate changes in your environment, reducing false positives without manual tuning.
Each detection includes a severity score, contextual intelligence, affected assets, and recommended response actions. High-severity threats can automatically trigger containment playbooks through Hunto AI's Incident Response agents — for example, blocking a malicious IP, suspending a compromised account, or initiating a takedown request for a phishing domain. Lower-severity findings are queued for analyst review with full context.
Start hunting threats 24/7 with autonomous AI agents
