FriTorial#28: Voice-Mirroring Avatars, and Create Carousels with AI

Welcome to the FriTorial

Today in FriTorial🔥

• Instant Pro Presentations from Ideas

• Make Your AI Avatar Speak Like You

• Create Viral Social Media Carousels with AI

• AI that Browses, Plans, and Executes for You

• Smarter Help Desk Automation for MSPs

• Trending AI Tools

• Real or AI

• A Prompt to Create an AI System to Teach Household Robots Through Natural Language

Instant Pro Presentations from Ideas

Boring slides are out.

Most slide decks look the same—static, boring, and forgettable.

Leave them behind with Prezi AI, the AI presentation software that builds unique, dynamic presentations just from your prompt. It’s fast, intuitive, and designed to fit your ideas perfectly.

Stand out with Prezi’s unique format that uses zooming, cinematic movement to wow your audience.

Try for free today

Make Your AI Avatar Speak Exactly Like You

Step-01: Navigate to HeyGen

Log in to your HeyGen account.

Go to “Create Video”, then select “Avatar Video” and choose either Portrait or Landscape format.

Step-02: Choose an Avatar

Use “Try New Editor” and pick your preferred avatar.

Step-03: Voice Mirroring

Upload a recording of your voice to enable voice mirroring.

Step-04: Results

Preview the audio and video. Once satisfied, click Submit & Generate.

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Create Viral Social Media Carousels with AI

aiCarousels – AI-Driven Carousel Generator for High-Impact Social Media Content – Fast, Engaging, Customizable!

aiCarousels is an AI-driven tool that transforms text, links, and videos into eye-catching carousels for platforms like LinkedIn, Instagram, and TikTok—no design skills needed.

Best Features:

• AI-driven Content Generation: Transform topics, text, websites, YouTube videos, or PDFs into compelling carousel slides with the help of AI.

• User-Friendly Design Tools: Customize templates with predefined color palettes and font pairings, ensuring a consistent and professional look without the need for design skills.

• Smart Auto-Resize: Automatically adjusts text and elements to fit perfectly within slides, eliminating manual formatting efforts.

• Multi-Platform Support: Create carousels optimized for various platforms, including LinkedIn, Instagram feeds and stories, and TikTok.

• Additional Content Tools: Access features like LinkedIn post generators, quote card creators, and infographic makers to enhance your content strategy.

AI that Browses, Plans, and Executes for You

Smarter Help Desk Automation for MSPs

PIA aiDesk – AI-Driven Personal Executive Assistant for Smarter Workflows and Productivity – Fast, Reliable, Organized!

Pia aiDesk is an AI-driven automation platform designed to enhance the efficiency of Managed Service Providers (MSPs) by streamlining help desk operations and improving customer service delivery.

Best Features:

• AI-Driven Ticket Triage: Automatically categorizes and routes incoming tickets, reducing manual workload and accelerating response times. ​

• SmartForms: Provides clients with intuitive forms that guide them through service requests, enabling zero-touch ticket resolution without technician intervention.

• AutoStart & AutoClose: Initiates and completes routine tasks automatically, ensuring consistent and efficient ticket handling.

• Auto Time Logging: Tracks and logs time spent on tasks automatically, facilitating accurate billing and time management​

• Seamless PSA Integration: Integrates effortlessly with existing Professional Services Automation tools, maintaining a unified workflow.​

• Robust Security Compliance: Adheres to ISO 27001, SOC2, HIPAA, and GDPR standards, ensuring data protection and compliance.

Trending AI Tools

​Locked In is an aesthetic productivity dashboard that helps you block distractions, plan tasks, and stay focused.

Firebase Studio is an AI-driven platform for swiftly building and deploying full-stack applications in the browser.

Seed-Thinking-v1.5 is ByteDance’s MoE language model optimized for advanced reasoning in STEM, coding, and general tasks.

Conveyor is an AI-driven platform that automates security reviews by generating accurate responses to questionnaires and facilitating secure document sharing.

Geocities.live converts modern websites into 1990s-style GeoCities pages with retro design elements.

Real or AI?

Real or AI Result

Congrats to 29.82% of you guessed it right!

It was a Real image! It was a Hard guess. 😁

Reader’s Opinions

A Prompt to Create an AI driven system to identify and respond to cybersecurity threats in real-time

You are an AI-driven cybersecurity strategist. I want to build an intelligent, AI-powered system that can identify, assess, and respond to cybersecurity threats in real-time to protect my business, \[business name], from both known and emerging cyberattacks. The primary goal is to enhance threat detection accuracy, reduce incident response time, and maintain business continuity with minimal manual intervention.

Please provide a detailed, step-by-step guide that includes:


Threat Data Collection and Enrichment

Explain how to collect and aggregate threat intelligence data from multiple internal and external sources, such as:

Network logs, system logs, and endpoint telemetry
Threat intelligence feeds (e.g., STIX/TAXII-based sources)
Security Information and Event Management (SIEM) systems
Open-source intelligence (OSINT) and dark web monitoring

Include how to use AI and machine learning (ML) models to enrich this data with contextual insights, such as threat severity, indicators of compromise (IOCs), attack patterns, and potential targets.
AI-Powered Threat Detection Models

Detail how to implement AI and ML models (e.g., anomaly detection, behavior analysis, supervised/unsupervised learning) to:

Detect deviations from normal activity in network traffic, user behavior, and system access
Identify zero-day attacks and advanced persistent threats (APTs)
Recognize known attack vectors such as phishing, ransomware, and lateral movement

Include guidance on training these models with historical attack data and fine-tuning them to reduce false positives while maintaining high detection rates.

Automated Incident Response Framework

Describe how to set up automated response mechanisms that integrate with SOAR (Security Orchestration, Automation, and Response) platforms to:

Isolate infected endpoints
Block suspicious IPs or domains at the firewall
Notify security teams with enriched alerts
Initiate incident response workflows (e.g., malware removal, user access revocation)

Include tips for setting up conditional logic and AI-driven decision trees to ensure intelligent, context-aware responses without requiring constant human oversight.

Real-Time Threat Intelligence Feeds and Model Updates

Provide recommendations on integrating continuous threat intelligence feeds to:

Update detection models in real-time
Adapt to evolving tactics, techniques, and procedures (TTPs)
Automatically tune security rules and AI classifiers

Include sources for threat feed integration (e.g., MITRE ATT\&CK, VirusTotal, IBM X-Force, Recorded Future) and how to use NLP models to parse unstructured threat reports into actionable insights.

Continuous Learning and Feedback Loops

Outline how to build feedback mechanisms that:

Capture outcomes from incident responses
Evaluate the effectiveness of AI-driven decisions
Improve detection accuracy over time by retraining models on new data

Include strategies for leveraging human analyst feedback to refine ML predictions and incorporate reinforcement learning in evolving threat environments.
Security Operations Center (SOC) Augmentation

Provide a blueprint for using AI to assist and augment SOC teams by:

Prioritizing alerts based on risk scoring and business impact
Automating threat triage and investigation
Generating real-time summaries of attack timelines and root causes

Include recommendations for dashboards and visualizations that help analysts focus on the most critical threats with minimal alert fatigue.

Compliance, Auditability, and Reporting

Explain how to ensure compliance with regulatory frameworks (e.g., GDPR, NIS2, ISO/IEC 27001) by:

Automatically generating incident reports and audit trails
Tracking response actions, timelines, and resolution steps
Ensuring AI decisions are explainable and traceable for audits

Include tools and best practices for maintaining transparent AI models and documenting cybersecurity workflows.

Technology Stack and Tool Recommendations

Provide a list of AI tools, platforms, and libraries ideal for real-time threat detection and response, including but not limited to:

SIEMs (e.g., Splunk, IBM QRadar)
SOAR platforms (e.g., Palo Alto Cortex XSOAR, Microsoft Sentinel)
AI frameworks (e.g., TensorFlow, Scikit-learn, PyTorch)
Security-specific ML tools (e.g., Vectra AI, Darktrace, CrowdStrike Falcon)

Include tips for selecting tools based on business size, IT infrastructure, and cybersecurity maturity.

Deployment Architecture and Scalability Considerations

Design a scalable system architecture that supports:

Cloud, on-premise, and hybrid environments
High-throughput data ingestion and processing
Real-time inference and response with minimal latency

Include architectural diagrams if needed, and discuss containerization, edge computing, and secure API integrations as relevant.

Adoption Roadmap and Implementation Strategy

Present a phased action plan for building and deploying this AI-powered cybersecurity system, including:

Initial risk assessment and readiness evaluation
Pilot deployment and testing
Organization-wide rollout and staff training
Ongoing monitoring and governance

Make the roadmap adaptable based on company size, industry, and regulatory requirements.

The final output should be a fully actionable and structured guide that I can use to build an AI-powered real-time cybersecurity threat detection and response system. Let me know if you need more context about my business, infrastructure, or threat landscape to tailor this blueprint effectively.

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