Your SOC has enough alerts

YASH

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
Threat Protection (1) 8

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

AI-Assisted Threat Hunting Autonomous Investigations Automated Containment Threat Intelligence Behavior Analytics Faster Incident Response Microsoft Security Operations AI-Assisted Threat Hunting Autonomous Investigations Automated Containment Threat Intelligence Behavior Analytics Faster Incident Response Microsoft Security Operations AI-Assisted Threat Hunting Autonomous Investigations Automated Containment Threat Intelligence Behavior Analytics Faster Incident Response Microsoft Security Operations AI-Assisted Threat Hunting Autonomous Investigations Automated Containment Threat Intelligence Behavior Analytics Faster Incident Response Microsoft Security Operations AI-Assisted Threat Hunting Autonomous Investigations Automated Containment Threat Intelligence Behavior Analytics Faster Incident Response Microsoft Security Operations AI-Assisted Threat Hunting Autonomous Investigations Automated Containment Threat Intelligence Behavior Analytics Faster Incident Response Microsoft Security Operations AI-Assisted Threat Hunting Autonomous Investigations Automated Containment Threat Intelligence Behavior Analytics Faster Incident Response Microsoft Security Operations

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.

soc-copilot — investigation stream

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.

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

An AI Autonomous SOC uses AI-assisted workflows to help security teams triage alerts, investigate incidents, correlate activity, hunt threats, automate containment workflows, generate summaries, and respond faster. Analysts remain in control while AI reduces repetitive manual work.

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.

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.

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.

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.

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.

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.

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.