Autonomous AI SOC Analyst - RSAC Innovation Sandbox Finalist
COMPANY OVERVIEW
Autonomous AI SOC analyst platform that investigates every security alert in under 10 minutes. Replicates Tier 1 analyst workflows end-to-end through recursive reasoning and pre-trained investigation agents. Deploys in 30 minutes via API connections to existing security tools. RSAC Innovation Sandbox finalist. Featured in Gartner Hype Cycle for Security Operations 2025. 4.9/5 rating on Gartner Peer Insights with 99% customer recommendation rate.
CORE FOCUS
Eliminates alert investigation backlogs by autonomously triaging 100% of incoming alerts with human-equivalent analysis depth. Connects to 85+ security integrations including CrowdStrike, Microsoft Sentinel, Splunk, Google Workspace, Microsoft Entra ID, and AWS to pull contextual telemetry across SIEM, EDR, email security, and cloud platforms. Executes multi-step investigation playbooks automatically—enriching indicators, correlating user behavior, checking threat intelligence feeds, and querying endpoint data without manual analyst intervention. Generates decision-ready reports with severity conclusions, executive summaries, and detailed findings mapped to MITRE ATT&CK. Reduces investigation time by 90% and handles 10X the alert volume of human analysts.
PRODUCTS & TOOLS
AI SOC Analyst – LLM-powered autonomous investigation engine that executes complete Tier 1 triage workflows.
- Recursive reasoning engine breaks down complex investigations into granular steps and adapts based on findings
- Pre-trained agents expert at using existing security tools via API without playbook scripting
- Contextual memory learns environment specifics, user roles, and asset criticality over time
- Transparent work-showing provides full audit trail of investigation logic and data sources queried
Auto-Containment Actions – Immediate threat response automation integrated with investigation findings.
- Blocks fast-moving threats before widespread damage based on investigation conclusions
- Human-in-the-loop approval workflows for sensitive containment actions
- Integration with EDR, SIEM, and identity platforms for coordinated response
Investigation Reports – Decision-ready analysis with severity scoring, executive summaries, and technical findings.
- Severity conclusion for prioritization based on environmental context
- Executive summary for leadership visibility into threats
- Key insights and timeline reconstruction showing attack progression
- MITRE ATT&CK mapping for threat intelligence correlation
Adaptive Learning – Continuous improvement through feedback integration and environmental tuning.
- Fine-tunes investigation behavior based on analyst feedback and environmental specifics
- Remembers details about infrastructure, user roles, and business context
- Reduces false positives as it learns benign patterns unique to the organization
TARGET MARKET
Lean SOC teams drowning in alert volume without resources to scale headcount. Organizations seeking 24/7 alert coverage without outsourcing Tier 1 triage to MSSPs. Security programs requiring consistent investigation quality across all alerts regardless of analyst availability. Mid-market and enterprise companies with existing SIEM and EDR investments needing force multiplication.
DIFFERENTIATORS
Eliminates playbook maintenance overhead that SOAR platforms require—AI agents adapt investigation techniques automatically without scripting. Deploys in under 1 day with immediate value delivery versus weeks-long SOAR implementations. 99% reduction in triage workload frees analysts for proactive threat hunting and strategic security projects. Investigation transparency shows reasoning at each step, building trust versus black-box AI solutions. Human-in-the-loop design ensures analysts maintain control while AI handles repetitive investigation tasks. Validated by independent analysis including SANS First Look Product Overview and Gartner Hype Cycle recognition as emerging technology with transformational potential.
