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Simbian, Inc. Unclaimed

Cybersecurity

simbian.ai

Mountain View, CA, United States

Global AI-powered SecOps platform provider delivering autonomous investigation, triage, and response for security operations.

Simbian, Inc. is a global cybersecurity company building an autonomous security operations platform designed to help organizations defend against AI-powered attacks by automating investigation, triage, threat hunting, and incident response across multiple data sources.

Building the Self-Improving SecOps Platform to Stop AI Attacks

What we offer

Self-Improving SecOps

Harnesses AI agents to automate security operations, enhancing defense against evolving threats.

simbian.ai/self-improving-secops

AI Pentest Agent

Empowers organizations with continuous, automated penetration tests to enhance security posture in real-time.

simbian.ai/products/ai-pentest-agent

AI NetSecOps Agent

Automates firewall and network security operations, improving efficiency and reducing manual workload.

simbian.ai/products/ai-network-secops-agent

Market segments

Market size by segment

Growth potential (CAGR)

Network security operations

28.58 Billion USD12.8% CAGR

Automation of firewall and network security operations including policy change validation, IOC enforcement, real-time monitoring, and structured change workflows to reduce manual network intervention.

Security operations, orchestration and automation

1.8 Billion USD15% CAGR

Platforms and services for detection, investigation, automated response, threat intelligence and compliance reporting to accelerate SOC workflows and incident management.

Penetration testing and offensive security

2.7 Billion USD11.6% CAGR

On-demand and continuous offensive testing to identify exploitable vulnerabilities across networks, applications, APIs, cloud environments, and LLMs, including PTaaS, internal/external network tests, and red-team style engagements.

Incident response and containment

40 Billion USD20% CAGR

Automated and human-led containment, remediation workflows, and rapid incident orchestration to minimize dwell time and operational impact.

More information about our offering

Self-Improving SecOps

Autonomous security operations platform that defends against AI-powered attacks by automating investigation, triage, threat hunting, and incident response across multiple data sources. The platform autonomously investigates and triages security alerts, providing context-rich findings across diverse data sources and continuously learns to adapt to evolving AI attacks.

  • Automates Investigation And Triage
    Automatically processes and analyzes alerts, drastically reducing response times and enhancing accuracy.
  • Adapts To New Threats
    Implements lessons from past incidents, refining defenses proactively to counteract future threats.
  • Accelerates Threat Hunting And Response
    Utilizes automated workflows to promptly address and mitigate security incidents, enhancing operational efficiency.
  • Reduces Investigator Workloads
    By handling the majority of investigations automatically, the AI SOC Agent allows security analysts to focus on higher-level tasks.
  • Minimizes Incident Impact
    Rapid responses to threats reduce the overall impact on organizational security.
  • Provides Constant Vigilance
    Ensures that no alerts go unaddressed at any time, enhancing overall security posture.
  • Reduces Time to Validate Hypotheses
    Eliminates the 10-20 hours typically spent on flawed hypotheses, enabling faster assessments and increased efficiency.
  • Enriches Contextual Understanding
    Allows all agents to learn from each other's findings, improving overall situational awareness and response.
  • Enhances Operational Efficiency
    By reducing the number of escalations, organizations can operate with a leaner team while still addressing all alerts.
  • Supports Accurate Decision-Making
    By integrating the context of operations, the agent can make better-informed verdicts on threats.
  • Enhances Detection Across Security Solutions
    Analyzes data from Microsoft Sentinel, Splunk, and other sources to uncover sophisticated attacks through unified evidence.
  • Integrates Across Toolsets
    Facilitates comprehensive security operations by leveraging data from various security platforms.
  • Improves Future Incident Handling
    The system continuously learns and adapts based on past incidents, ensuring that knowledge is not lost.
  • Catches Low-and-Slow Attacks
    Identifies long-term threats that automated systems might miss by using comprehensive historical data.
  • Improves Hunt Accuracy
    Incorporates institutional knowledge and contextual data to filter out irrelevant alerts during the hunt.
  • Streamlines Security Operations
    This feature allows security teams to focus on strategic tasks rather than managing playbooks.

AI Pentest Agent

Automates penetration testing to deliver continuous, context-aware security assessments that validate vulnerabilities and provide actionable guidance tailored to your operational needs.

  • Transforms Security Testing
    Moves beyond traditional pentesting by continuously assessing vulnerabilities in real time, ensuring immediate identification and remediation.
  • Enables Quick Fixes
    Offers actionable insights based on specific organizational contexts, helping teams address security gaps more efficiently.
  • Validates Real-World Risks
    Ensures that reported vulnerabilities are not just theoretical but are viable exploitation paths, increasing focus on critical issues.
  • Strengthens Security Posture
    Enables organizations to maintain a high security level by constantly validating their defenses, limiting exposure time.
  • Confirms Fixes Efficiently
    Allows teams to validate the resolution of vulnerabilities immediately after fixes are implemented, ensuring quick risk mitigation.

AI NetSecOps Agent

The AI NetSecOps Agent is an automated AI system that manages firewall operations and network security 24/7, handling tasks like policy changes, threat blocking, and incident prevention without human intervention.

  • Reduces Network Outages
    Acts as a safeguard against erroneous changes by pre-validating modifications, thus ensuring network stability.
  • Enhances Security Incident Management
    Reduces the response time by automatically handling incidents, allowing teams to focus on higher-priority tasks.
  • Ensures Compliance And Transparency
    Facilitates seamless audits by generating detailed, compliance-driven narratives, thus enhancing accountability.
  • Strengthens Threat Response
    Enhances security posture by actively blocking malicious indicators and confirming successful implementation.
  • Improves Threat Detection
    Enables proactive detection of potential threats by constantly analyzing traffic patterns and system states.
  • Provides Controlled AI Operations
    Ensures that AI decisions remain under human oversight, enhancing trust and operational reliability.
  • Streamlines Operational Workflow
    Transforms complex requests into manageable tasks, enabling faster resolution and improved team efficiency.

References

Methodology and sourcing behind the figures shown above.

Network security operations

Primary estimate uses Fortune Business Insights’ network security market figures (global market valued at USD 28.58B in 2025 with a 12.8% CAGR to 2034). Security-operations adjacencies (SOC market reports with ~USD 44–46B and ~8–8.2% CAGR) were used as supporting context for demand in operations automation but the core estimate is the network security market value and CAGR from Fortune Business Insights.

Security operations, orchestration and automation

Estimates derived from multiple SOAR market reports in the search results. Published 2023–2024 market sizes range ~USD 1.5–2.75 billion; most vendors (GMI, SNS, KBV) cluster ~USD 1.5–1.8B for 2023–2024 with projected 15–16% CAGRs to 2032. MRFR reports a higher 2024 base (USD 2.75B) and a lower long‑term CAGR (10.5%). I selected USD 1.8B as a conservative 2024 market-size estimate (close to several sources) and a 15.0% CAGR reflecting the consensus growth band (15–16%) across multiple reports.

Penetration testing and offensive security

Estimate based on multiple market reports in the provided results. Fortune Business Insights reports a global penetration testing market value of USD 2.74B in 2025 and a projected CAGR of 11.6% (2026–2034). MarketsandMarkets reports a lower 2025 base (USD 1.98B) and higher CAGR (14.2% to 2031); GM Insights reports the PTaaS subset at USD 2.3B in 2025 with a higher CAGR (18.3%). Taken together, a 2025 market size ≈ USD 2.7B and a mid-range CAGR ~11.6% (conservative, report-backed) best represent the broader penetration testing and offensive-security segment and its growth potential driven by PTaaS, cloud adoption, and regulatory demand.

Incident response and containment

Multiple recent market reports for incident response place 2025–2026 market size in the mid-$30–$46B range and forecast high growth through 2030–2035. I used a conservative midpoint (~$40B) and the cluster of CAGR estimates (17–23%) to select ~20% CAGR as the growth potential for incident response and containment.

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