Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The swift adoption of generative AI (GenAI) by the software industry has introduced a new area of focus for security engineers: threats targeting the various components of their AI applications. Understanding how these areas are vulnerable to attacks will become increasingly significant as the space evolves. In this series, we'll look at common threats that target the following components of AI applications.

In Parts 1 and 2 of this series, we looked at how attackers get access to and take advantage of the infrastructure and supply chains that shape generative AI applications. In this post, we'll discuss AI interfaces, which we define as the entry points and logic that determine how a user interacts with an AI application. These elements can include chat interfaces, such as AI assistants, and API endpoints for supporting services.

The AI ecosystem is rapidly changing, and with this growth comes unique challenges in securing the infrastructure and services that support it. In Part 1 of this series, we explored how attackers target the underlying resources that host and run AI applications, such as cloud infrastructure and storage. In this post, we'll look at threats that affect AI-specific resources in supply chains, which are the software and data artifacts that determine how an AI service operates.

Organizations across Australia and New Zealand are increasingly confronted with the challenge of bridging the cybersecurity talent shortage with 69 per cent of ICT professional occupations in shortage, a gap that compounds concern as the complexity of cyberthreats continues to evolve. Faced with a finite talent pool, businesses must find innovative ways to maintain their security posture without sacrificing operational efficiency or increasing strain on their resources.

When vulnerability scans return thousands or even millions of findings, leading to an avalanche of tickets to evaluate, the real challenge begins: figuring out what to fix first. Exposure prioritization is the critical next phase of a mature exposure management program. After defining what exposure management is and establishing a normalized foundation of aggregated data, the question becomes: how do we cut through the noise and focus on what truly matters?

Written in collaboration with Arik Galansky The GENIUS Act’s passage and the recent release of the Report from the Presidents Working Group on Digital Asset Markets reflects a pivotal shift in how the U.S. financial system is preparing for blockchain innovation.

If your website or app collects personal data from users in the United Kingdom, the UK Data Protection Act (UK DPA 2018) likely applies to you. Many businesses assume that GDPR alone covers their data protection obligations, but since Brexit, the UK operates its own version of GDPR, supplemented and enforced through the DPA.

APIs operate throughout the digital world to support mobile applications, enable cloud capabilities, power GenAI tools, and conduct invisible operations during every digital interaction. As the growth of API usage accelerates, Akamai’s 2024 API Security Impact Report shows that organizations find it difficult to align their security efforts with the expanding risk domain.

A recent report states that Indian healthcare institutions face a total of 8,614 cyberattacks every week. That is more than four times the global average and over double the amount faced by any other industry in India. If the feeling was in the air before, the numbers leave no doubt; India’s healthcare sector is an irresistible target for today’s attackers.

This past month, the Vanta team launched new features to help you: ‍