Your SOC has enough alerts
GRT 2026: Turning Sustainability into Action
Your SOC has enough alerts.
It needs answers.
YASH AI Autonomous SOC helps security teams cut through alert overload with faster investigation, clearer decisions, and AI-assisted response.
Powered by AI. Delivered on Microsoft Security platforms.
Modern AI security has two sides. YASH helps with both.
AI is changing how SOC teams work. It is also creating new risks that need to be secured.
| AI for SOC Operations | Security Services for AI |
| AI-assisted threat hunting | AI model security |
| Autonomous investigations | LLM security |
| Automated containment workflows | Prompt injection testing |
| Threat intelligence-led detection | AI red teaming |
| Faster triage and response | AI governance and risk assessments |
| SOC workflow automation | Agentic AI and model supply-chain security |
85% faster incident closure
With streamlined SOC operations
<15 min incident response
Rapid investigation and response support
75% fewer false positives
Through rule tuning and triage optimization
Modern SOC now includes more than monitoring.
YASH AI Autonomous SOC brings together the core capabilities modern security teams need to detect, investigate, contain, and respond faster.

AI-Assisted Threat Hunting
Investigate suspicious activity faster with AI-guided queries, contextual insights, behavior patterns, and threat signals.

Autonomous Investigations
Build incident context across users, hosts, IPs, identities, applications, cloud activity, URLs, and related alerts.

Automated Containment Workflows
Trigger policy-driven response actions, playbooks, escalations, and containment steps when threats are validated.

Threat Intelligence-Led Detection
Enrich alerts with threat intelligence to identify active campaigns, risky indicators, emerging attack patterns, and sector-specific threats.
Security Services for AI
As enterprises adopt GenAI, LLMs, copilots, and agentic AI, security teams must protect the AI systems themselves — not just use AI for SOC operations.
YASH helps assess, test, govern, and secure AI models, prompts, agents, data flows, and model supply chains.
AI Model Security
Protect AI models from misuse, manipulation, exposure, unauthorized access, and security control gaps.
LLM Security
Assess and secure large language model use cases, integrations, access paths, and sensitive data exposure risks.
Prompt Injection Testing
Test how AI systems respond to malicious, manipulated, or unauthorized prompts.
AI Red Teaming
Simulate adversarial attacks against AI systems, workflows, model behavior, and agentic processes.
AI Governance
Define policies, ownership, controls, oversight, and responsible usage standards for enterprise AI adoption.
AI Risk Assessments
Identify security, compliance, privacy, operational, and third-party risks across AI use cases.
Agentic AI Security
Secure autonomous AI agents, tool access, permissions, workflows, decision paths, and execution boundaries.
Model Supply Chain Security
Assess risks across models, datasets, APIs, plugins, libraries, open-source components, and third-party AI services.
How YASH AI Autonomous SOC Works
AI supports the work that slows SOC teams down — triage, threat hunting, investigation, containment workflows, and reporting. Your analysts stay in control of the response.

Triage Incidents in Minutes, Not Hours
AI-assisted workflows help analysts quickly understand what happened, which entities are involved, and what should be investigated first.

Enable AI-Assisted Threat Hunting
Support faster investigation with natural-language prompts, AI-assisted KQL, contextual insights, and threat patterns.

Give Tier-1 Analysts Deeper Investigation Power
Help L1 analysts investigate complex incidents without waiting on senior specialists for every query, correlation, or escalation.

Build Autonomous Investigation Context
Create a clearer incident picture across users, hosts, IPs, identities, URLs, applications, cloud activity, and related alerts.

Detect Abnormal Behavior Earlier
Use UEBA and behavior analytics to identify suspicious access, risky users, compromised identities, and insider-risk indicators.

Move from Alert to Action
Use threat intelligence, automation, playbooks, escalation logic, policy-driven containment workflows, MITRE mapping, incident summaries, and closure-ready reporting to accelerate response.
Manual SOC vs. YASH AI Autonomous SOC
From 90 minutes of triage to answers in minutes.
A high-severity alert should not take your team through seven manual steps before they know what happened. YASH AI Autonomous SOC helps compress investigation workflows with AI-assisted threat hunting, autonomous investigation, behavior review, containment workflows, and reporting.
| Without AI | With YASH AI Autonomous SOC |
| 90–120 minutes | ~5 minutes |
| 7 manual investigation steps | 4 AI-assisted investigation actions |
| KQL expertise required | AI-assisted threat hunting support |
| Manual UEBA review | AI-assisted behavior review |
| Manual entity correlation | Autonomous investigation context |
| Manual containment decisions | Policy-driven containment workflows |
| Manual MITRE mapping | Faster MITRE mapping support |
| Manual incident reporting | Closure-ready reporting support |
| Analysts spend time building context | Analysts get to response decisions faster |
| Traditional SOC workflow | Delivered on Microsoft Sentinel and Security Copilot. Built and operationalized by YASH. |
Microsoft security ecosystem
AI Autonomous SOC on the Microsoft Security Ecosystem
YASH brings together Microsoft security platforms, AI-assisted investigation workflows, automation, threat intelligence, and managed SOC operations into one connected operating model. The result is stronger visibility across identities, endpoints, cloud, data, applications, and incidents.
| SOC Layer | Microsoft Capabilities Used | What It Enables |
| Security Monitoring & SIEM/SOAR | Microsoft Sentinel, Log Analytics, Logic Apps | Centralized alert monitoring, incident correlation, playbook automation, SOC dashboards, executive reporting, and response workflows |
| AI-Assisted Investigation | Microsoft Security Copilot, Sentinel AI Agents | Entity analysis, behavior review, natural-language investigation, KQL support, incident summaries, and MITRE mapping |
| Threat Intelligence-Led Detection | Microsoft Sentinel threat intelligence, Defender signals, watchlists, analytics rules | Alert enrichment, IOC correlation, campaign visibility, and stronger detection logic |
| Threat Protection | Microsoft Defender XDR, Defender for Identity, Defender for Cloud Apps | Threat detection across endpoints, identities, email, SaaS applications, and user activity |
| Cloud Security Posture | Microsoft Defender for Cloud, Azure security controls | Cloud workload protection, vulnerability visibility, secure score tracking, misconfiguration reduction, and posture improvement |
| Data Security & Governance | Microsoft Purview | Data discovery, classification, protection, DLP, compliance visibility, and governance reporting |
Dashboards and reporting can be tailored for SOC teams, security leaders, compliance stakeholders, and executive reviews. YASH helps connect these capabilities into a SOC model that can monitor continuously, investigate faster, automate response steps, and improve over time.
SOC outcomes delivered by YASH
Real-world SOC modernization requires more than monitoring. YASH helps organizations improve visibility, reduce alert noise, accelerate response, and strengthen cyber resilience.
NexGen SOC for an American Healthcare Company
A US-based clinical-stage biopharmaceutical company with 25 offices needed stronger visibility, faster incident response, and continuous security monitoring across its business environment.
Business Impact
The solution helped the client strengthen security posture, reduce organizational risk, improve response readiness, and maintain operational continuity during security events.
85%
Decreased attack surface
80%
Reduction in business and organizational risk
24x7x365
Security coverage
50% faster
Turnaround to restore services during a breach scenario
Sentinel SOC Optimization for a European Manufacturer
A global manufacturer faced limited internal SOC capacity, high false positives, and the need to stabilize Microsoft Sentinel rules for a complex manufacturing environment.
Business Impact
The engagement helped reduce alert overload, improve detection accuracy, standardize triage, and accelerate incident handling.
75%
Fewer false positives
50%
Faster mean time to detect
75%
Improved triage efficiency
85% faster
Faster incident closure
Centralized Threat Monitoring for a Pharmaceutical Organization
A global clinical trial supply provider needed centralized visibility and control across changing infrastructure, applications, endpoints, and cloud security tools.
Business Impact
The client improved real-time detection, reduced alert noise, and strengthened compliance visibility through continuous monitoring and structured incident handling.
85%
Reduced attack surface
60%
Reduction in alert noise
70%
Lower compliance gap risk
24x7
Monitoring and triage
Cloud SOC for a US Manufacturing Enterprise
A US manufacturer operating a dynamic Azure environment with 40 subscriptions needed continuous monitoring, cloud posture management, vulnerability assessment, and security baseline visibility.
Business Impact
The engagement helped the client improve cloud posture, identify risk faster, reduce misconfigurations, and strengthen protection across a changing Azure environment.
75%
Reduced attack surface
60%
Faster risk identification
70%
Stronger cloud security posture
65%
Reduction in misconfigurations
Why YASH for AI Autonomous SOC?
YASH brings together SOC engineering, AI-assisted workflows, Microsoft Security expertise, managed operations, and AI security services to help organizations modernize security operations with confidence. We do not just monitor alerts. We help improve how your SOC investigates, responds, contains, reports, and evolves.

YASH helps modernize SOC operations with AI-assisted threat hunting, autonomous investigations, automated containment workflows, threat intelligence, SOC engineering, and managed operations.

YASH helps secure AI models, LLMs, prompts, agents, AI workflows, governance models, and model supply chains as enterprise AI adoption expands.

YASH helps Microsoft Sentinel customers prepare for the Defender portal-based Unified SecOps experience, including workflows, RBAC, playbooks, dashboards, and analyst operations.

YASH offers flexible engagement models across advisory, implementation, managed operations, SOC modernization, AI security testing, and ongoing optimization — so organizations can start where they are and scale as needed.
Ready to turn SOC alerts into answers?
See how YASH AI Autonomous SOC can help your team investigate faster, reduce manual effort, and respond with greater confidence.
Book a live walkthrough of AI-assisted SOC workflows built on Microsoft Security platforms.
Live Demo Includes
High-severity incident walkthrough
AI-assisted threat hunting
Autonomous entity investigation
Behavior-based analysis
Policy-driven containment workflow
Incident summary and response guidance
Frequently Asked Questions
What is an AI Autonomous SOC?
Does YASH provide security services for AI, LLMs, and agentic AI?
Yes. YASH provides AI security services including AI model security, LLM security, prompt injection testing, AI red teaming, AI governance, AI risk assessments, agentic AI security, and model supply-chain security.
What is included in YASH Security Services for AI?
YASH helps assess, test, govern, and secure AI systems across models, prompts, agents, data flows, integrations, permissions, workflows, and third-party components. This helps organizations reduce risk as GenAI, LLMs, copilots, and agentic AI adoption expands.
Can YASH help modernize an existing SOC or build a new AI-ready SOC from scratch?
Yes. YASH can help organizations modernize existing SOC environments or build new AI-ready SOC capabilities using AI-assisted investigation workflows, automation, governance, dashboards, reporting, managed operations, and Microsoft Security platforms.
What capabilities are included in a modern SOC?
A modern SOC includes AI-assisted threat hunting, autonomous investigations, automated containment workflows, threat intelligence-led detection, behavior analytics, SIEM/SOAR engineering, managed monitoring, and response reporting.
How is YASH AI Autonomous SOC different from a traditional SOC?
A traditional SOC often depends on manual alert review, query writing, and analyst-led correlation. YASH AI Autonomous SOC helps move investigations faster with AI-assisted threat hunting, autonomous entity analysis, behavior review, automation, containment workflows, and incident-ready reporting.
Does AI replace SOC analysts?
No. AI supports analysts by handling time-consuming investigation steps such as enrichment, correlation, behavior review, summarization, and reporting. Human analysts still validate findings, make response decisions, and manage escalation.
Can YASH support Unified SecOps readiness for Microsoft Sentinel customers?
Yes. YASH can help Microsoft Sentinel customers prepare for the Unified Security Operations experience in the Microsoft Defender portal, including workflow review, RBAC alignment, playbook updates, automation review, dashboards, reporting continuity, and analyst enablement.