Simbian, Inc. Unclaimed
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-secopsAI Pentest Agent
Empowers organizations with continuous, automated penetration tests to enhance security posture in real-time.
simbian.ai/products/ai-pentest-agentAI NetSecOps Agent
Automates firewall and network security operations, improving efficiency and reducing manual workload.
simbian.ai/products/ai-network-secops-agentMarket segments
Market size by segment
Growth potential (CAGR)
Network security operations
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
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
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
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 TriageAutomatically processes and analyzes alerts, drastically reducing response times and enhancing accuracy.
- Adapts To New ThreatsImplements lessons from past incidents, refining defenses proactively to counteract future threats.
- Accelerates Threat Hunting And ResponseUtilizes automated workflows to promptly address and mitigate security incidents, enhancing operational efficiency.
- Reduces Investigator WorkloadsBy handling the majority of investigations automatically, the AI SOC Agent allows security analysts to focus on higher-level tasks.
- Minimizes Incident ImpactRapid responses to threats reduce the overall impact on organizational security.
- Provides Constant VigilanceEnsures that no alerts go unaddressed at any time, enhancing overall security posture.
- Reduces Time to Validate HypothesesEliminates the 10-20 hours typically spent on flawed hypotheses, enabling faster assessments and increased efficiency.
- Enriches Contextual UnderstandingAllows all agents to learn from each other's findings, improving overall situational awareness and response.
- Enhances Operational EfficiencyBy reducing the number of escalations, organizations can operate with a leaner team while still addressing all alerts.
- Supports Accurate Decision-MakingBy integrating the context of operations, the agent can make better-informed verdicts on threats.
- Enhances Detection Across Security SolutionsAnalyzes data from Microsoft Sentinel, Splunk, and other sources to uncover sophisticated attacks through unified evidence.
- Integrates Across ToolsetsFacilitates comprehensive security operations by leveraging data from various security platforms.
- Improves Future Incident HandlingThe system continuously learns and adapts based on past incidents, ensuring that knowledge is not lost.
- Catches Low-and-Slow AttacksIdentifies long-term threats that automated systems might miss by using comprehensive historical data.
- Improves Hunt AccuracyIncorporates institutional knowledge and contextual data to filter out irrelevant alerts during the hunt.
- Streamlines Security OperationsThis 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 TestingMoves beyond traditional pentesting by continuously assessing vulnerabilities in real time, ensuring immediate identification and remediation.
- Enables Quick FixesOffers actionable insights based on specific organizational contexts, helping teams address security gaps more efficiently.
- Validates Real-World RisksEnsures that reported vulnerabilities are not just theoretical but are viable exploitation paths, increasing focus on critical issues.
- Strengthens Security PostureEnables organizations to maintain a high security level by constantly validating their defenses, limiting exposure time.
- Confirms Fixes EfficientlyAllows 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 OutagesActs as a safeguard against erroneous changes by pre-validating modifications, thus ensuring network stability.
- Enhances Security Incident ManagementReduces the response time by automatically handling incidents, allowing teams to focus on higher-priority tasks.
- Ensures Compliance And TransparencyFacilitates seamless audits by generating detailed, compliance-driven narratives, thus enhancing accountability.
- Strengthens Threat ResponseEnhances security posture by actively blocking malicious indicators and confirming successful implementation.
- Improves Threat DetectionEnables proactive detection of potential threats by constantly analyzing traffic patterns and system states.
- Provides Controlled AI OperationsEnsures that AI decisions remain under human oversight, enhancing trust and operational reliability.
- Streamlines Operational WorkflowTransforms 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.
- Market Size was valued at USD 1.5 Billion in 2023 ... growing at a CAGR of 15.5%.
- Security Orchestration Automation and Response Market was valued at USD 1.6 billion in 2023 and projected to exhibit 15% CAGR from 2024 to 2032.
- As per Market Research Future ... Market Size was estimated at 2.75 USD Billion in 2024 ... CAGR (2025 - 2035) 10.52%.
- 2024 USD 1.80 Billion; 2032 USD 5.73 Billion; CAGR 16.1%.
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.
- The global penetration testing market was valued at USD 2.74 billion in 2025; CAGR (2026–2034): 11.60%.
- The penetration testing market is projected to grow from USD 1.98 billion in 2025 to USD 4.39 billion by 2031, at a CAGR of 14.2%.
- The global PTaaS market was valued at USD 2.3 billion in 2025; expected to grow to USD 12 billion in 2035 at a CAGR of 18.3% (2026–2035).
- The Cyber Security Penetration Testing market is anticipated to grow at a CAGR of 10.3% over the forecast period (2026 - 2033).
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.
- Market valued at USD 38.67 Billion in 2025; CAGR 20.21% (2026–2035).
- Global Incident Response Market worth USD 34.91 Billion in 2026; CAGR 17.3% (2026–2035).
- Market size USD 38.4 billion in 2025; projected USD 204.1 billion by 2035, CAGR 20.4% (2026–2035).
- $46.45 billion in 2025; expected $133.04 billion in 2030 at CAGR 23.5%.
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