The tool offers real-time insights into regulatory changes relevant to a business, mitigating compliance risks.
AI Copilot for Sales
The tool generates executive summaries of deals, identifies issues, suggests the next best actions, and more.
AI Research Solution for Due Diligence
The solution enhances due diligence assessments, allowing users to make data-driven decisions.
AI Customer Support Agent
The agent streamlines your customer support processes and provides accurate, multilingual assistance across multiple channels, reducing support ticket volume.
Strengthen Your Cybersecurity Defenses With ZBrain
Leverage the full potential of ZBrain’s advanced generative AI abilities to reinforce your organization’s cybersecurity defenses, enhancing threat detection, incident response, and overall operations for heightened resilience against rising cyber hazards.
How Does ZBrain Benefit Your Cybersecurity Operations?
Optimized Cybersecurity Operations
Improve your cybersecurity operations with ZBrain by optimizing workflows, providing advanced threat identification, and streamlining incident response. It transforms risk assessment, ensuring efficient analysis and real-time decision-making, strengthening resilience against evolving threats.
Proactive Threat Detection
ZBrain enables teams to proactively detect threats, analyze the current cybersecurity techniques, and identify indicators in real time. This ensures staying ahead of emerging risks, reducing response times, and mitigating potential security incidents effectively.
Efficient Incident Response
Elevate incident response with ZBrain’s smart insights, offering a clear overview of the predicament and facilitating rapid responses. Streamlining reporting, documentation, and analysis, ZBrain enables effective management and containment of security breaches.
Training Material Creation
ZBrain apps excel in crafting personalized security awareness training materials designed to cater to the unique needs and roles of individual users within the organization. This aids in the organization’s efforts to enhance cybersecurity knowledge and practices among its employees and other members.
Leverage ZBrain to Optimize Your Enterprise’s Cybersecurity Workflows
Departments / Types of Queries
Generate
Research
Repurpose
Analyze
Transform
Security Operations Center (SOC)
Generate reports on compliance status with industry security standards
Investigate recent cybersecurity incidents
Use incident data to analyze latest trends
Analyze network traffic patterns
Transform threat data into actionable insights
Incident Response Department
Create incident reports for the past quarter
Research new malware variants
Modify historical incident data for training programs
Examine incident timelines and response effectiveness
Convert incident insights into procedural improvements
Vulnerability Management Department
Produce reports on critical vulnerabilities affecting our systems
Investigate emerging security threats
Tailor vulnerability data for compliance reports
Scrutinize vulnerability trends and mitigation strategies
Refine vulnerability data for integration into risk assessments
Security Engineering Department
Generate best practices for secure coding
Explore advancements in encryption technologies
Customize security guidelines for developer training
Analyze cloud security configurations
Convert security recommendations into applicable policies
Security Awareness Training Department
Create cybersecurity training modules
Study social engineering tactics
Tailor training content for different employee roles
Survey employee engagement with training modules
Transform training feedback for continuous improvement strategies
Threat Intelligence Department
Generate comprehensive threat intelligence reports for ongoing campaigns
Investigate indicators of compromise related to specific campaigns
Adapt threat data for strategic threat assessments
Analyze patterns in cyber threat landscapes
Transform threat intelligence into practical risk mitigation plans
LLMs That ZBrain Supports
GPT-4
Llama 3
GPT NeoX
PaLM-2
Vicuna
FLAN
Gemini
All Hugging face models
Mistral
AZURE GPT-4
BERT
Stable LM
Integrate ZBrain Into Your Workflows
API
Enhance your applications by integrating ZBrain’s API, effortlessly infusing generative AI capabilities into your workflows to boost efficiency.
Slack
ZBrain enables you to improve your team’s communication and streamline workflows effortlessly by integrating powerful generative AI features into Slack.
Teams
Boost collaboration and productivity within Microsoft Teams by integrating ZBrain, your essential tool for intelligent content creation and data analysis.
Elevate Your Cybersecurity Business with AI. Connect with Our Experts Today!
Tour ZBrain to see how it enhances legal practice, from document management to complex workflow automation. ZBrain solutions, such as legal AI agents, boost productivity.
Discover Workflow Integrations
Explore how ZBrain seamlessly integrates into your workflows to automate complex tasks and provide strategic insights, ensuring streamlined operations and enhanced efficiency.
Engage in Q&A Session
Receive real-time answers to your questions, ensuring you comprehend ZBrain’s operations, how it meets the specific needs of your legal practice, and the setup and integration process.
ZBrain credits and their usage
A credit is a unit of usage on ZBrain. Credits are consumed whenever you perform actions such as embedding documents or querying an app. Here’s how credits are utilized:
Document Embedding:
When you upload a document, it is processed and embedded to create a searchable vector representation. This step consumes credits based on the size of the document and the embedding model used.
Input Processing:
When you ask a question, the relevant context is retrieved from the embeddings and processed by the Large Language Model (LLM). This step incurs a credit cost based on the model and the number of input tokens.
Generating Output
The LLM then generates a response based on the processed input, consuming additional credits based on the number of output tokens.
The cost in credits for various models and processes is detailed below:
Models and Credit Consumption:
Model
Input Cost
Output Cost
GPT-4o
2,500 credits / 1M tokens
7,500 credits / 1M tokens
GPT-4
15,000 credits / 1M tokens
30,000 credits / 1M tokens
GPT-4-32k
30,000 credits / 1M tokens
60,000 credits / 1M tokens
GPT-3.5 Turbo
250 credits / 1M tokens
750 credits / 1M tokens
Embedding Models:
Model
Input Cost
text-embedding-3-small
20 credits / 1M tokens
text-embedding-3-large
130 credits / 1M tokens
ada v2
100 credits / 1M tokens
When you create a knowledge base or query an app, credits are deducted based on the embedding, input, and output token usage. This ensures you only pay for what you use while leveraging the full power of advanced AI models.