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Exploits. Intercepted.

Exploits are one of the main techniques used by cybercriminals to spread malware. They take advantage of weaknesses in legitimate software products like Flash and Microsoft Office to infect computers for their criminal ends. A single exploit can be used by myriad separate pieces of malware, all with different payloads. Antivirus solutions have traditionally focused on stopping the malware that uses the exploits rather than the exploits themselves. While there are millions of different pieces of malware in existence, hackers only use 10’s of different techniques to exploit software vulnerabilities. By blocking these exploit techniques, you can block a massive number of malware samples in one go, before they even enter your system.

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OTHER WHITEPAPERS

10 Keys to AI Success in 2021

whitePaper | May 17, 2021

AI will impact every area of our lives, and its applications are virtuallylimitless. From solving society's biggest problems to creating newopportunities in business, AI will help us take huge leaps forward in this next decade.

Making AI Inclusive: 4 Guiding Principles for Ethical Engagement

whitePaper | July 20, 2022

The growing diversity of actors and circumstances involved in AI/ML deployment makes establishing a set of ethical participatory practices especially difficult for this field. Even among practitioners working at the same organization, there can be substantial differences in both their knowledge about how AI/ML systems were created or will be used and their ability to incorporate inclusive practices. Additionally, the greater availability of AI development platforms, including “no-code” platforms, means that algorithmic models can be deployed without having deep expertise, expanding the number of circumstances automated systems are deployed in. This means many more instances where automated systems are being deployed without consideration of how the algorithms were developed, the provenance of the datasets and nature of the bias on which they were trained and tested, and the ethical implications of their development and deployment.

10 Things You Need to Know About the EU WhitePaper on Artificial Intelligence

whitePaper | March 8, 2020

On February 19, 2020, the European Commission (Commission) published proposals for the regulation of Artificial Intelligence (AI) with potentially far-reaching implications both for users and developers worldwide. The proposals are contained in a densely written 26-page “White Paper” which in this alert we distill down to 10 take-away points. The White Paper, together with the other strategy documents published at the same time1, is vital reading for any business which participates in the data economy, and in particular companies that operate across borders.

How Data Can Help Us Get Back to School Safely

whitePaper | August 18, 2020

This year, back to school for college students means more than just buying supplies, finding the right dorm and making sure to get into the proper classes. The COVID-19 pandemic has changed the annual fall ritual into one where campuses need to make sure they are safe from infection while providing a healthy environment for learning, growth and community.

The AI Behind Vectra AI

whitePaper | December 14, 2022

Data science is Vectra AI’s north star. We have always believed that data science and AI, if used properly, can transform our fight against cyberattacks and give an edge to defenders. However, not all AI is the same.

Trusted Artificial Intelligence Towards Certification of Machine Learning Applications

whitePaper | March 30, 2022

Artificial Intelligence is one of the fastest growing technologies of the 21st century and accompanies us in our daily lives when interacting with technical applications. However, reliance on such technical systems is crucial for their widespread applicability and acceptance. The societal tools to express reliance are usually formalized by lawful regulations, i.e., standards, norms, accreditations, and certificates. Therefore, the TÜV AUSTRIA Group in cooperation with the Institute for Machine Learning at the Johannes Kepler University Linz, proposes a certification process and an audit catalog for Machine Learning applications.

Exploits. Intercepted.