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...

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

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

The Europas Tech Startup Awards Gala Lunch + Afterparty, established by Techcrunch’s Mike Butcher, co-curated by Dianne See Morrison, and orchestrated by Dataconomy’s Elena Poughia, shone as a standout among the auxiliary events. This startup award ceremony held at Lisbon’s Estufa Fria, nestled within the city’s opulent botanical gardens in Parque Eduardo VII, outshone the WebSummit. Its meticulously curated guest list, sophisticated ambiance, and an electrifying roster of startups made it a highlight.

Protectumus, as a cloud cyber security startup, recognizes the increasing importance of Environmental, Social, and Governance (ESG) factors in today's business landscape. ESG has emerged as a crucial framework for assessing a company's sustainability and ethical practices. We understand that integrating ESG considerations into our operations is not only responsible but also critical for long-term success.

At Protectumus, we have taken several measures to address ESG concerns. First and foremost, we prioritize environmental sustainability by optimizing our infrastructure to minimize energy consumption and carbon footprint. We actively promote responsible use of resources within our organization and encourage our employees to adopt eco-friendly practices.

Read the entire article on the Protectumus cyber security blog: https://protectumus.com/blog/details/recognizing-the-increasing-importance-of-environmental-social-governance-esg

Silicon Valley Bank was a commercial bank headquartered in Santa Clara, California. SVB was the 16th-largest bank in the United States at the time of its failure on March 10, 2023, and was the largest bank by deposits in Silicon Valley. It was a subsidiary of the bank holding company SVB Financial Group. SVB was the bank for tech startups in Silicon Valley (California). Silicon Valley Bank was the bank that financed and at the same time deposited the money of many such startups.

The entire article can be found on The Startup - https://the-startup.com/posts/the-collapse-of-sili...

Machine learning is an application of artificial intelligence that utilizes a computer programmed with self-learning and teaching abilities. It utilizes datasets and analyzes them to gain more information to make predictions. Today all the tech giants like Google, Netflix, and Amazon utilize this technology to deliver a better experience.

How is machine learning changing different aspects of our life?

Here is an insight into how machine learning changes our lives.

1. Education

Classrooms need to get smart now, and that can be done through efficient data management. With machine learning, smart classrooms can expand the database of resources and record data regarding individual performance. Moreover, machine learning empowers digital systems to provide customized reports as needed for both students and teachers.

Read the entire article on the Typing Biometrics blog: https://typing.ai/blog/how-is-machine-learning-tra...

Artificial intelligence (AI) can help dating apps in a number of ways, such as: personalized matchmaking, efficient communication, fraud detection and content moderation.

It's natural to want to make a good impression on a first date, but it's important to be yourself and not try too hard to impress the other person. Here are a few things you might want to consider talking about on a first date:

1. Common interests: Find out what you have in common and talk about those things. This can help to build a connection and give you something to bond over.
2. Hobbies and passions: Talk about the things you enjoy doing in your free time, whether it's sports, music, or something else. This can help the other person get to know you better.
3. Family and friends: Talk about your relationships with your family and friends. This can give the other person insight into what is important to you and what your values are.

Read the entire article on The Startup Network: https://the-startup.com/posts/ai-suggestions-for-w...

Typing biometric systems have been around for some time, but Typing AI Biometrics has developed a unique approach to this technology. The company's system is based on machine learning algorithms that analyze an individual's typing style and create a unique "typing fingerprint" for each user. This fingerprint is then used to identify the user whenever they type on a device or enter text online.

One of the main benefits of typing biometrics is that it is a non-intrusive form of identification. Unlike other biometric technologies such as facial recognition or fingerprint scanning, typing biometrics does not require any specialized hardware or equipment. Instead, it can be implemented on any device with a keyboard, making it a versatile and convenient option for a wide range of applications.

In 2021, Typing AI Biometrics received an investment from Fil Rouge Capital, a Croatian venture capital firm. This investment will help the company continue to develop and improve its typing biometric technology, as well as expand its operations to new markets.

Read the entire article on The Startup Network: https://the-startup.com/posts/startup-showcase-typ...