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

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

In the age of rapid technological advancements, deepfake technology has emerged as a double-edged sword. While it presents exciting possibilities for entertainment and creative expression, it also poses a significant threat to individuals and society as a whole. Deepfake fraud is the malicious use of manipulated audio and video content. It has the potential to undermine trust, compromise security, and wreak havoc on unsuspecting victims.

Deepfake fraud attempts have increased by 3000% this year. (Source)

In this comprehensive guide, we will explore deepfake fraud and effective strategies to protect ourselves against this emerging threat.

Read the entire article on the Typing Biometrics blog: https://typing.ai/blog/how-to-protect-against-deepfake-fraud

Introduction

In an era dominated by digital interactions, ensuring robust security measures is of paramount importance to safeguard sensitive information and maintain user trust in online platforms. Generative Artificial Intelligence (AI) has emerged as a transformative tool, offering innovative solutions to bolster security across various domains. Particularly in the realm of authentication and user identity verification, generative AI techniques like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) have opened up new avenues for building more reliable, sophisticated methods to verify user identities, detect fraud, and fortify cybersecurity.

The Power of Generative AI

Generative AI involves training models to produce content that mimics specific data distributions. GANs and VAEs, two prevalent types of generative models, have demonstrated exceptional capabilities in generating data that is virtually indistinguishable from genuine samples. This technology is now being harnessed to enhance security protocols in novel and effective ways, particularly in the domains of authentication and user identity verification.

Read the entire article on the Typing AI Biometrics blog: https://typing.ai/blog/enhancing-security-through-...

In an age where cybersecurity is paramount, traditional authentication methods often fall short in providing robust protection against ever-evolving threats. As cybercriminals become more sophisticated, the need for innovative and secure authentication methods has never been more crucial. Enter biometric authentication, a cutting-edge solution that harnesses unique physiological and behavioral traits for identity verification. Among these methods, keystroke dynamics, or typing biometrics, stands out as a remarkable and nuanced approach. Let's dive into the depths of keystroke dynamics and explore how it compares to other biometric authentication methods.

The Essence of Keystroke Dynamics

Keystroke dynamics, a subset of behavioral biometrics, is a fascinating authentication method that capitalizes on the distinct patterns in an individual's typing style. When a person types on a keyboard, they leave behind a subtle but consistent rhythm in the timing between keystrokes and key releases. This rhythm is influenced by factors such as finger length, muscle memory, typing habits, and even emotional state, creating a biometric signature unique to each individual.

You can read the entire article on the Is it hacked blog: https://isithacked.com/blog/keystroke-dynamics-adv...

Biometric authentication offers improved convenience and security for users. The practice utilizes unique characteristics like facial recognition, fingerprints, voice authentication, typing biometrics (known as keystroke dynamics) etc., for user verification. Due to added convenience of biometric authentication, consumers are more willing to use this technology.

According to a survey, about 86% of its respondents are interested in using biometric authentication. In addition, about 70% of these respondents are more convenient and easier. (Source - https://www.authgear.com/post/biometric-authentica...)

You can read the entire article on the Typing Biometrics Blog: https://typing.ai/blog/why-use-biometric-authentication-in-2023

Introduction

Data Activity Monitoring (DAM) is a crucial component of modern data security and compliance strategies. It serves as a sentinel for organizations, safeguarding sensitive information against unauthorized access, breaches, or misuse.

What is Data Activity Monitoring?

Data Activity Monitoring (DAM) is a proactive cybersecurity approach designed to track, monitor, and analyze the actions performed on an organization's data assets. By recording and analyzing data-related activities, DAM solutions provide real-time insights into potential threats and anomalies, giving security teams a chance to respond swiftly and prevent data breaches.

Read the entire article on the Typing AI Biometrics blog: https://typing.ai/blog/the-essence-of-data-activit...

In the age of rapid technological advancements, the rise of digital interactions and transactions has brought about both convenience and risks. Cybercriminals are becoming increasingly sophisticated in their methods, necessitating the deployment of robust cybersecurity measures. Two critical aspects of this defense are KYC (Know Your Customer) verification and deepfake detection, which play pivotal roles in combating fraud and identity theft. Furthermore, the integration of biometric technologies further fortifies these defenses by providing enhanced authentication mechanisms. This article explores the importance of KYC verification, deepfake detection, and the utilization of biometrics in strengthening cybersecurity.

KYC Verification: Ensuring legitimate identities

KYC verification is an essential process employed by organizations to establish the identity and credibility of their customers. By verifying customers' identities, businesses can minimize the risk of fraud, money laundering, and terrorist financing. This process involves gathering relevant customer information, such as personal identification documents, proof of address, and other corroborating data.

Read the entire article on the Typing AI Biometrics blog: https://typing.ai/blog/the-vitality-of-kyc-verific...

At Typing AI Biometrics, we understand the significance of Environmental, Social, and Governance (ESG) factors in today's business landscape, especially as an AI cyber security startup. With the growing importance of ESG considerations in shaping investor decisions and corporate reputation, we are committed to integrating these principles into our operations and decision-making processes.

Environmental Responsibility

We believe that minimizing our environmental impact is crucial for long-term sustainability. As a result, we have implemented energy-efficient practices, reduced waste, and promoted sustainability within our organization. By taking proactive steps to limit our carbon footprint, we contribute to a greener future and foster a cleaner environment for generations to come.

Social Impact

Diversity and inclusion are fundamental values at Typing AI Biometrics. We strive to create a workplace that promotes equal opportunities for all employees, regardless of their background. By cultivating an inclusive environment, we harness the power of diverse perspectives and experiences, leading to innovative solutions and stronger team collaboration.

Governance and Security

Governance is a critical aspect of our business. We prioritize stringent security and privacy standards to protect our customers' data and maintain their trust. Our commitment to governance extends beyond regulatory compliance, as we continuously evaluate and enhance our internal policies and practices to align with industry best practices.

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https://typing.ai/blog/prioritizing-esg-in-the-dna-of-typing-ai-biometrics-a-sustainable-and-responsible-future