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AiSecOps

AI-Powered Security Operations

Accelerate detection, triage, and response with AI-driven automation embedded across your security operations — reducing noise and cutting response times.

AiSecOps • AI security operations • AI-powered SOC • Security automation • AI threat detection • Machine learning cybersecurity • SOAR • Alert triage automation • AI-driven incident response • Agentic SOC
AiSecOps • AI security operations • AI-powered SOC • Security automation • AI threat detection • Machine learning cybersecurity • SOAR • Alert triage automation • AI-driven incident response • Agentic SOC
About
AiSecOps

How HexaPrime help you with AiSecOps!

AiSecOps embeds artificial intelligence and machine learning into every stage of the security operations lifecycle — from alert correlation and prioritization to automated investigation and response. By reducing analyst fatigue and cutting through alert noise, AiSecOps enables faster, more accurate decision-making and frees your security team to focus on the threats that matter most.

Key
Features
  • AI-driven alert correlation and noise reduction
  • Automated triage and severity scoring
  • Machine learning-based anomaly and behavioral detection
  • AI-assisted investigation and root cause analysis
  • Automated playbook-driven response (SOAR integration)
  • Continuous model tuning based on environment feedback
  • Natural language incident summaries for faster decision-making
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Workflow
AiSecOps Architecture & Workflow
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</style> <div class="sd" style="--n:6;padding-bottom:40px"> <div class="sd_rail"> <span class="sd_rn"><b>1</b><i>Data Ingestion</i></span> <span class="sd_rn"><b>2</b><i>AI Correlation</i></span> <span class="sd_rn"><b>3</b><i>Incident Enrichment</i></span> <span class="sd_rn"><b>4</b><i>Playbook Orchestration</i></span> <span class="sd_rn"><b>5</b><i>Analyst Review Interface</i></span> <span class="sd_rn"><b>6</b><i>Continuous Learning</i></span> </div> <div class="aso"> <div class="aso_src"> <span><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae62f2c7a89399e9e4e0_hxp-aiseco8-01.png" alt="" loading="lazy">SIEM</span> <span><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae62f2c7a89399e9e506_hxp-aiseco8-02.png" alt="" loading="lazy">EDR</span> <span><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae63fb718c615f3162cb_hxp-aiseco8-03.png" alt="" loading="lazy">CLOUD LOGS</span> <span><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae639b69d9815f42a789_hxp-aiseco8-04.png" alt="" loading="lazy">EVENTS</span> </div> <svg class="aso_ar" width="20" height="12" viewBox="0 0 20 12" fill="none"><path d="M0 6h20M17 3l3 3-3 3" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round"/><path class="aso_dot" d="M0 6h20" stroke="#ff5f52" stroke-width="3" stroke-linecap="round" stroke-dasharray="0.01 24"/></svg> <div class="aso_b" data-fl="1"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae6336a4b980fdae4b4a_hxp-aiseco8-05.png" alt="" loading="lazy"><p>Normalize all telemetry events</p></div> <svg class="aso_ar" width="20" height="12" viewBox="0 0 20 12" fill="none"><path d="M0 6h20M17 3l3 3-3 3" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round"/><path class="aso_dot" d="M0 6h20" stroke="#ff5f52" stroke-width="3" stroke-linecap="round" stroke-dasharray="0.01 24"/></svg> <div class="aso_b" data-fl="2"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae6348d070ce480ac728_hxp-aiseco8-06.png" alt="" loading="lazy"><p>Correlate and score to identify true incidents</p></div> <svg class="aso_ar" width="20" height="12" viewBox="0 0 20 12" fill="none"><path d="M0 6h20M17 3l3 3-3 3" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round"/><path class="aso_dot" d="M0 6h20" stroke="#ff5f52" stroke-width="3" stroke-linecap="round" stroke-dasharray="0.01 24"/></svg> <img class="aso_node" style="object-fit:contain" width="30" height="32" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae63a1e6948d1a4ac7e2_hxp-aiseco8-07.png" alt="" loading="lazy"> <svg class="aso_ar" width="20" height="12" viewBox="0 0 20 12" fill="none"><path d="M0 6h20M17 3l3 3-3 3" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round"/><path class="aso_dot" d="M0 6h20" stroke="#ff5f52" stroke-width="3" stroke-linecap="round" stroke-dasharray="0.01 24"/></svg> <div class="aso_b" data-fl="3"> <div class="aso_row"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae636477dd95a46b51da_hxp-aiseco8-08.png" alt="" loading="lazy"><div><h4>Context Data</h4><p>e.g. User/Asset</p></div></div> <div class="aso_row"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae636477dd95a46b51da_hxp-aiseco8-08.png" alt="" loading="lazy"><div><h4>Threat Intel</h4><p>e.g. User/Asset</p></div></div> </div> <svg class="aso_ar" width="20" height="12" viewBox="0 0 20 12" fill="none"><path d="M0 6h20M17 3l3 3-3 3" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round"/><path class="aso_dot" d="M0 6h20" stroke="#ff5f52" stroke-width="3" stroke-linecap="round" stroke-dasharray="0.01 24"/></svg> <div class="aso_col"> <div class="aso_b is-sm" data-fl="4"><div class="aso_row"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae646b6497d5a88e969a_hxp-aiseco8-10.png" alt="" loading="lazy"><div><h4>Auto Resolution</h4><p>Pre-approved actions</p></div></div></div> <img class="aso_tree" style="object-fit:contain" width="52" height="40" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae64bce59b36de28e0fb_hxp-aiseco8-11.png" alt="" loading="lazy"> <div class="aso_b is-sm" data-fl="5"><div class="aso_row"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae646b6497d5a88e969a_hxp-aiseco8-10.png" alt="" loading="lazy"><div><h4>Escalation to Analyst</h4><p>Human review required</p></div></div></div> </div> <svg class="aso_ar" width="20" height="12" viewBox="0 0 20 12" fill="none"><path d="M0 6h20M17 3l3 3-3 3" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round"/><path class="aso_dot" d="M0 6h20" stroke="#ff5f52" stroke-width="3" stroke-linecap="round" stroke-dasharray="0.01 24"/></svg> <div class="aso_b is-core" data-fl="6"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae6423195312e750a191_hxp-aiseco8-13.png" alt="" loading="lazy"><p>Enriched investigation summary</p><div class="aso_btn is-fill">Resolve</div><div class="aso_btn">Escalate</div></div> <svg class="aso_ar" width="20" height="12" viewBox="0 0 20 12" fill="none"><path d="M0 6h20M17 3l3 3-3 3" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round"/><path class="aso_dot" d="M0 6h20" stroke="#ff5f52" stroke-width="3" stroke-linecap="round" stroke-dasharray="0.01 24"/></svg> <div class="aso_b" data-fl="7"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae65430c5cafdb764737_hxp-aiseco8-14.png" alt="" loading="lazy"><h4>Analyst Feedback</h4></div> <svg class="aso_ar" width="20" height="12" viewBox="0 0 20 12" fill="none"><path d="M0 6h20M17 3l3 3-3 3" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round"/><path class="aso_dot" d="M0 6h20" stroke="#ff5f52" stroke-width="3" stroke-linecap="round" stroke-dasharray="0.01 24"/></svg> <div class="aso_b" data-fl="8"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae652f3cec5b5a21c801_hxp-aiseco8-15.png" alt="" loading="lazy"><h4>Model Improvement</h4></div> <svg class="aso_ar" width="20" height="12" viewBox="0 0 20 12" fill="none"><path d="M0 6h20M17 3l3 3-3 3" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round"/><path class="aso_dot" d="M0 6h20" stroke="#ff5f52" stroke-width="3" stroke-linecap="round" stroke-dasharray="0.01 24"/></svg> <div class="aso_b" data-fl="9"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa9ae65e812817b171e3bd9_hxp-aiseco8-16.png" alt="" loading="lazy"><h4>Optimized Detection</h4></div> </div> </div>
Service Deliverables
Everything the service delivers. Built around measurable outcomes.
01
AI Detection Deployment
  • Deployment and integration of AI/ML detection models into your existing security stack
  • Automated alert triage and prioritization workflows
02
Automation & Playbooks
  • Custom SOAR playbooks for common incident types
  • AI performance and model accuracy reports
03
Measured Improvement
  • Reduction metrics (alert volume, MTTD / MTTR improvements)
  • Ongoing model tuning and optimization

See what AiSecOps delivers and how it fits your environment.

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FAQs
Frequently Asked Questions
What is AiSecOps?

AiSecOps is the application of AI and machine learning to security operations tasks — such as alert triage, correlation, and response — to increase speed and accuracy while reducing manual workload.

Will AI replace our security analysts?

No — AiSecOps is designed to augment analysts by automating repetitive tasks and surfacing the highest-priority threats, allowing your team to focus on complex investigations and strategic decisions.

Does AiSecOps work with our existing SIEM/EDR tools?

Yes, AiSecOps is designed to integrate with commonly used SIEM, EDR, and cloud security tools already in your environment.

How is model accuracy maintained over time?

Models are continuously retrained and tuned using feedback from analyst decisions and evolving threat data to maintain and improve detection accuracy.

What results can we expect?

Typical outcomes include a significant reduction in alert volume, faster mean time to detect (MTTD) and respond (MTTR), and improved analyst productivity.

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