Generative AI has transformed the way enterprises build, interact, and automate. But as adoption of large language models (LLMs) accelerates, so do the risks. From model manipulation to shadow usage, these systems introduce new and evolving threat vectors, many of which traditional security stacks fail to detect or mitigate effectively.

At Typing AI Biometrics, we combine behavioral biometrics with advanced AI security tooling to help organizations secure every layer of generative AI. Below, we outline the top 10 risks facing LLM-powered apps in 2025 and how to reduce exposure while maintaining innovation velocity.

1. Prompt Injection

Risk: Attackers craft inputs designed to manipulate model behavior, override safety constraints, or leak context data. These inputs may come from users or third-party systems.

Mitigation: Apply input validation and structure prompts using strict system/user separation. Monitor for anomalous patterns using behavioral AI. Deploy guardrails to detect and neutralize prompt manipulation before it reaches the model.

2. Data leakage through outputs

Risk: LLMs may expose internal data, personally identifiable information (PII), or confidential content unintentionally through completions.

Mitigation: Implement output filtering and redaction. Use behavioral identity signals to limit access to context-sensitive operations. Enforce context lifespan policies and log access trails.

3. Hallucinations

Risk: LLMs often generate plausible but false information, leading to poor decisions or compliance breaches when outputs are trusted too readily.

Mitigation: Integrate retrieval-augmented generation (RAG) with curated knowledge bases. Flag uncertain or unverifiable responses. Include human-in-the-loop (HITL) where business-critical accuracy is needed.

Read the entire article on the Typing AI Biometrics blog: https://typing.ai/blog/2025-top-10-risks-and-mitig...

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Why AI assistants are essential

In an increasingly digital world, artificial intelligence (AI) assistants have become a vital tool for individuals and businesses alike. From streamlining daily tasks to providing insights that enhance decision-making, these tools are transforming the way we work and live. This article explores the many reasons why AI assistants are important and how they are shaping the future.

Boosting productivity and efficiency

One of the biggest advantages of AI assistants is their ability to increase productivity. By automating repetitive and time-consuming tasks, such as scheduling meetings, setting reminders, or sorting through emails, AI assistants free up time for more important work.

For instance, virtual assistants like Siri, Alexa, or Google Assistant can perform tasks like creating to-do lists or answering questions in seconds. In business settings, AI-driven tools can help manage customer inquiries, track project progress, or even generate reports, allowing employees to focus on strategic priorities.

Enhancing communication

AI assistants play a crucial role in improving communication, both personally and professionally. They help manage calendars, send notifications, and ensure that messages are delivered promptly. For teams working remotely, AI tools facilitate collaboration by organizing virtual meetings, managing workflows, and providing real-time updates.

Chatbots, a specific type of AI assistant, are widely used in customer service. They respond to queries instantly and are available 24/7, ensuring that customers always receive timely support. This not only enhances customer satisfaction but also reduces the workload for human representatives.

Personalizing user experiences

AI assistants excel at personalization. By analyzing user behavior and preferences, they can tailor their responses and suggestions to meet individual needs. For example, streaming services like Netflix or Spotify use AI to recommend content based on viewing or listening habits, while shopping platforms suggest products that align with previous purchases.

This level of personalization extends to virtual assistants as well. AI tools can adapt to a user’s habits, such as recommending the best time for a meeting or reminding them about recurring tasks. This makes interactions more relevant and efficient.

Supporting decision-making

AI assistants are invaluable when it comes to making informed decisions. They can process large amounts of data, identify patterns, and provide insights in real-time. For businesses, this means better forecasting, smarter resource allocation, and improved strategy development.

For example, financial AI assistants can analyze market trends and suggest investment opportunities. In healthcare, AI tools assist in diagnosing conditions by evaluating medical records and research data. This ability to process and analyze information quickly ensures more accurate and reliable outcomes.

Reducing costs

By automating tasks and improving efficiency, AI assistants can help organizations save money. They reduce the need for additional staff in roles like customer support or administrative tasks. Moreover, they minimize errors and streamline processes, which further cuts costs in the long run.

Small businesses, in particular, benefit from AI assistants as they can access capabilities that were once only available to larger companies with extensive resources. This democratization of technology enables businesses of all sizes to compete effectively.

Transforming industries

AI assistants are reshaping industries by introducing innovative solutions to traditional challenges. In education, virtual tutors provide personalized learning experiences, while in retail, AI assistants optimize inventory management and enhance customer service. In manufacturing, AI-driven robots increase efficiency and precision on production lines.

These tools are not just improving existing processes but also paving the way for entirely new possibilities, such as autonomous vehicles, advanced medical diagnostics, and smart cities.

Conclusion

AI assistants are more than just convenient tools—they are essential for navigating the complexities of modern life and business. By boosting productivity, enhancing communication, personalizing experiences, supporting decision-making, reducing costs, and transforming industries, these intelligent systems are shaping a smarter, more efficient future.

As AI technology continues to evolve, its potential applications will only grow, making it an indispensable part of our daily lives and work. Whether you're an individual looking for help managing your schedule or a business aiming to stay competitive, investing in AI assistants can make a significant difference.

As 2024 draws to a close, Typing AI Biometrics reflects on a year filled with innovation, collaboration, and major milestones. From groundbreaking partnerships to cutting-edge product launches, the company has strengthened its position as a leader in AI and biometric authentication.

1. Second year in the Google AI Startup Program - Scale Tier

In its second year as part of the prestigious Google AI Startup Program - Scale Tier, Typing AI Biometrics capitalized on the resources and support provided by Google. Key benefits included:

• Substantial cloud credits: The program offered up to $350,000 USD in Google Cloud and Firebase usage credits over two years. In the first year, credits totaled $250,000 USD, with 100% of Google Cloud expenses covered, including an additional $150,000 USD exclusively for AI startups. In the second year, 20% coverage of up to $100,000 USD was provided.
• Enhanced support: The company received $12,000 USD in Google Cloud Enhanced Support credits, ensuring access to expert technical assistance.
• Workspace productivity: Free access to Google Workspace Business Plus for 12 months streamlined communication and collaboration within the company.

These resources empowered Typing AI Biometrics to develop advanced cloud-based biometric solutions and enhance its operational efficiency.

2. Joining the MongoDB for Startups Program

In January 2024, Typing AI Biometrics joined the MongoDB for Startups program, further strengthening its technological infrastructure. Key benefits included:

• Database credits: $500 in MongoDB Atlas credits, with the potential for an additional $4,500 at the end of the first 12 months.
• Expert collaboration: Access to MongoDB experts for fast-tracked support, strategic partnerships, and joint go-to-market opportunities.
• Showcasing innovation: A platform to highlight Typing AI Biometrics’ AI solutions to MongoDB’s extensive user base, customers, and partners.

This partnership played a pivotal role in optimizing the company’s database operations, supporting its mission to revolutionize biometric authentication through AI-driven innovation.

3. Strategic Partnership with Kartaca

In June, Typing AI Biometrics announced a strategic collaboration with Kartaca, a technology consulting firm specializing in Google Cloud services. This partnership enabled Typing AI Biometrics to leverage Google's state-of-the-art AI tools, including:

• Gemini AI: For advanced natural language understanding and generative tasks.
• DialogFlow: To enhance conversational agents and streamline user interactions.
• Document AI: For automated document processing and data extraction.
• Vertex AI: To efficiently build, deploy, and scale machine learning models.

Read the entire article on the Typing AI blog: https://typing.ai/blog/typing-ai-biometrics-2024-y...

As 2024 draws to a close, Fil Rouge Capital (FRC) is celebrating a year filled with progress, partnerships, and accomplishments. The venture capital firm has once again proven its commitment to fostering innovation and empowering the next generation of startups.

Here’s a look at what made this year remarkable for Fil Rouge Capital:

Conversations That Spark Ideas

📊 1207 Meetings with Founders

FRC believes that great ideas start with meaningful conversations. This year’s founder meetings laid the foundation for exciting collaborations and groundbreaking ventures.

Building Connections Across Ecosystems

🗓️ 210 Events Attended

From conferences to pitch nights, Fil Rouge Capital stayed deeply engaged in the global startup ecosystem. These events strengthened relationships with founders, investors, and industry leaders, fueling innovation.

Uncovering Opportunities

📄 864 Pitch Decks Reviewed

The team diligently scouted for visionary founders and transformative ideas, ensuring their pipeline is brimming with potential game-changers.

Celebrating Successes

🚀 6 Successful Exits

This year marked significant milestones for portfolio companies achieving successful exits. These accomplishments underscore FRC’s dedication to nurturing businesses toward sustainable growth.

Exceptional Portfolio Performance

📈 115% Revenue Growth (YoY)

Visionary founders in the FRC portfolio delivered outstanding results, achieving an impressive year-over-year revenue increase.

Read the entire article on: The Startup Network

Biometric authentication is no longer a futuristic concept—it’s an integral part of our daily interactions with devices, systems, and services. As of 2024, fingerprint recognition, facial recognition, typing biometrics and voice authentication have become commonplace in consumer electronics, corporate security, and financial services.

But the landscape is rapidly evolving. By 2025, advances in hardware, software, and artificial intelligence (AI) are set to transform biometric authentication into a more secure, seamless, and privacy-centric experience.

1. Multimodal Biometric Systems

Traditional biometric systems rely on a single method, such as fingerprint or facial recognition. By 2025, multimodal biometric authentication will become the norm. These systems combine multiple biometric identifiers—like face, voice, palm veins, and gait analysis—into a unified security model. This shift is driven by the need for stronger security in response to increasingly sophisticated attack vectors like deepfakes and biometric spoofing.

Multimodal systems significantly reduce the probability of false acceptances and false rejections. They can adapt dynamically, choosing the optimal biometric method based on environmental conditions, user behavior, or device constraints. For example, if a user's face is obscured by a mask, the system may default to voice or gait recognition instead.

2. Privacy-Preserving Biometrics

A key focus for 2025 is privacy-preserving biometric authentication. Traditional biometric systems store raw biometric data (like fingerprint images) in centralized databases, which are vulnerable to breaches. The emerging approach is to use techniques like homomorphic encryption, secure multi-party computation (SMPC), and biometric template protection.

Read the entire article on the Typing Biometrics Blog: https://typing.ai/blog/the-evolution-of-biometric-...

The NIST Cybersecurity Framework 2.0, also known as NIST2, represents an important update to the original National Institute of Standards and Technology (NIST) framework, originally developed in 2014. Aimed primarily at helping organizations manage and mitigate cybersecurity risks, NIST2 brings new insights, additional guidance, and updates that reflect the rapidly changing landscape of cybersecurity threats and best practices.

Key Elements of NIST2

NIST2 retains the five core functions—Identify, Protect, Detect, Respond, and Recover—that provide a foundational approach to managing cybersecurity risk. However, it builds on these functions by adding more context and detailing practical applications, which allow organizations to better integrate cybersecurity across all business areas.

This version introduces a greater focus on resilience, urging organizations not only to prevent and detect cyber threats but also to build systems that can withstand and recover from attacks. This emphasis on resilience reflects the increasing number and sophistication of cyber threats and acknowledges that no organization is entirely immune from potential breaches.

Read the entire article on the Typing AI Biometrics blog: https://typing.ai/blog/the-nist-cybersecurity-framework-20

Cybersecurity threats changing quickly. More people working remotely. Businesses need digital identity verification solutions more than ever to use cloud services, and making online transactions. These solutions help confirm customer identities and keep sensitive information safe from unauthorized access.

New technologies like artificial intelligence, biometrics, and passwordless authentication are making security stronger. These advancements help businesses deal with ongoing cybersecurity challenges and build trust with their customers.

Importance of User Authentication

Good user authentication methods keep sensitive information safe and stop unauthorized access. It helps prevent identity theft and impersonation by verifying who users are. It ultimately helps in ensuring only the real owner can access their accounts.

Also, many industries have strict rules about data protection and privacy. Using strong authentication methods helps you follow these rules. It can keep you out of legal trouble and help you avoid fines.

Read the entire article on the Is it hacked blog: https://isithacked.com/blog/top-authentication-tre...

OWASP is a non-profit foundation focused on web application security. It offers freely accessible resources like forums, tools, videos, and documentation on their website. Their notable projects include the OWASP Top 10. It highlights web app security concerns. The OWASP API Security Top 10 identifies prevalent API security risks.

An Overview of Top 10 2024 OWASP API Security Risks

1) BOLA

Broken Object Level Authorization represents a critical vulnerability that comes from the failure to validate permissions of a user to execute a specific action on an object. It can potentially result in the unauthorized access, modification, or deletion of data.

According to OWASP this API security threat is widespread and exploitable. It is moderate in its business aspect and can be detected as well.

• It is essential to implement a robust authorization mechanism to mitigate this vulnerability.
• Developers should conduct thorough checks to validate actions of a user on individual records.

They should also perform comprehensive security tests prior to implementing any changes in a production environment. Organizations can significantly reduce the risk of BOLA vulnerabilities and safeguard sensitive data from unauthorized access and manipulation by following to these precautions.

2) Broken Authorization

This API security risk represents a significant security vulnerability that arises when an application's authentication endpoints are unable to identify attackers who are posing as someone else and subsequently grant them partial or complete access to the account.

It is crucial to have visibility and understanding of all potential authentication API endpoints to mitigate this vulnerability.

Read the entire article on the Typing AI Biometrics blog: https://typing.ai/blog/introduction-to-owasp-api-security-top-10-2024

AI has been making significant strides in recent years, particularly in the field of generative AI. Generative AI refers to machines and algorithms that can create new content. This new content includes images, text, and even music based on patterns and data.

One of the latest trends in generative AI is the emergence of Vertical AI. It promises to revolutionize how AI is applied in specific industries.

#genai #AI #artificialintelligence #Biometrics #typingbiometrics #generativeai #authentication #MFA #2FA

https://typing.ai/blog/vertical-ai-the-next-revolution-in-generative-ai