The Enterprise Platform for Applied Gen AI in Cybersecurity

Automate threat detection, accelerate incident response, and adopt AI safely. Our platform gives your SOC team the speed to act with the governance you need.

Secure Gen AI for

Your Cyber Operations:

Lyzr transforms SecOps with powerful AI threat detection and SOC automation, all deployed within a controlled, governed framework for enterprise-ready security.

01

Rapid Triage

02

Deep Dives

03

Automated Response

04

AI Governance

Deploy GenAI Across Your

SecOps

Address your most pressing workflows with targeted GenAI applications for phishing detection, intelligent alert triage, and automated incident response.

Alert Triage

Automatically summarize, correlate, and prioritize incoming alerts, reducing SOC noise.

Phishing Defense

Guide analysts through containment, auto-draft tickets, and generate post-incident reports.

Response Copilot

Guide analysts through containment, auto-draft tickets, and generate post-incident reports.

Overwhelmed by alerts and manual processes? Lyzr provides a secure path to leverage GenAI for efficiency.

Real-world Benefits of

Gen AI in Cybersecurity

Our AI threat detection engine finds signals faster by correlating data with context.

Improve investigation quality with higher-fidelity alerts and intelligent event clustering.

Automate containment playbooks and guided responses to reduce mean time to resolve.

Use powerful AI with confidence, protected by our prompt injection defense and governance.

Core Capabilities for

Gen AI Security

A comprehensive platform with security copilots and SOC automation that integrates with your existing SIEM, SOAR, and ticketing tools.

SOC Copilots

Provide your analysts with guided investigations, automated summaries, and clear next steps.

Alert Enrichment

Automatically stitch together IOCs, user data, and threat intelligence for full context.

AI-Powered Playbooks

Build and deploy dynamic incident response automation with approvals and clear audit trails.

Threat Intel Fusion

Correlate internal alerts with the latest external threat intelligence to prioritize real risks.

Model Governance

Ensure safe, compliant AI use with access controls, audit logs, and DLP.

Enterprise GenAI vs.

Standard Tools

Lyzr provides a "Bank-in-a-Box" AI framework, ensuring your generative AI banking security matches your most stringent internal standards through total isolation.

Feature

Generic AI Tools

Typical SIEM

Lyzr

Automated Triage

Lacks context

Manual correlation

AI-powered prioritization

Response Automation

Manual workflows

Inflexible playbooks

Adaptive AI playbooks

Phishing Detection

Not purpose-built

Header analysis

Automated deep analysis

Summarization

Very generic summary

Relies on sandbox

Contextual summaries

Governance

No granular logs

Platform logs

Granular prompt auditing

Prompt Injection Defense

Completely vulnerable

Unprotected

Integrated defense layer

No guidance

No guidance

Log search

AI-guided investigations

Threat Intel Fusion

Manual lookups

Separate feeds

Real-time correlation

Built for Enterprise

Security Teams

AI Safety First

Implement strict policies, access controls, and guardrails for safe AI outputs.

Workflow Native

We integrate deeply with your SIEM, SOAR, and ticketing to enhance your workflows.

Proven ROI

Track clear metrics like MTTD and MTTR reduction to demonstrate security value.

Secure by Design

Our platform is built on principles of data isolation, logging, and model governance.

Built Specifically for

Financial Institutions

Join a growing ecosystem of consulting and technology partners

Lyzr's platform is a game-changer. We've cut our alert triage time by over 60% and can finally investigate threats instead of just managing queues. The governance controls were critical for getting our CISO's approval to deploy generative AI security tools across the SOC.

SOC Manager

Global Fintech Company

Zero

Data Exfiltration Incidents

Deploy Secure GenAI for

Your SOC

Define Goals

Identify 2-3 high-impact SOC workflows to target first.

Connect Your Tools

Integrate with your SIEM, EDR, and other security data sources.

Set Policies

Configure access controls, AI guardrails, and logging for full governance.

Launch and Measure

Go live with your first use case and track performance metrics.

Frequently asked questions

In a Security Operations Center (SOC), Gen AI is used to accelerate workflows. This includes automated alert triage and summarization, guided incident response with security copilots, AI threat detection, malware analysis, and generating compliance reporting. The goal is to augment analysts, not replace them.
By automatically correlating, summarizing, and prioritizing thousands of raw alerts into a handful of high-fidelity cases. It acts as a force multiplier, allowing analysts to focus their time on investigating genuine threats rather than sifting through low-value noise.
Yes, when deployed with an enterprise-grade platform like Lyzr. Safety requires strong model governance, data isolation, prompt injection defense, and comprehensive audit logs. This ensures that sensitive data is protected and all AI actions are traceable for compliance.
SOC automation executes predefined, rigid playbooks (if X, then Y). A security copilot is an interactive AI assistant that helps analysts during an investigation. It provides context, suggests next steps, and summarizes findings, acting as a collaborative partner for complex tasks.
Ensure safe, compliant AI use with access controls, audit logs, and DLP.
Our platform connects to your existing data sources like SIEM, EDR, and cloud logs via APIs. It doesn't replace them but rather ingests their data to find complex patterns and threats that individual tools might miss. This provides a unified layer of intelligence over your stack.
Prompt injection is an attack where a malicious user tricks an AI model into ignoring its instructions or revealing sensitive data. For security copilots, this is a major risk. Our platform has built-in defenses to sanitize inputs and prevent these attacks, ensuring AI integrity.
ROI is measured through key performance indicators. The primary metrics are reductions in Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR). Other measures include a lower false positive rate, increased number of incidents handled per analyst, and improved compliance.
Without proper controls, you should avoid sharing PII, financial data, or classified internal information. However, an enterprise platform with data redaction, zero trust security principles, and on-premise deployment options allows you to use GenAI safely with sensitive data.
Model governance involves setting policies on who can use AI models and for what purpose. All AI interactions, prompts, and outputs are logged for audit. This data is then used to generate compliance reporting, proving to auditors that your use of AI is controlled and secure.
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