Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Smartphones and tablets can be invaluable tools in the workplace. They can also be tempting targets for cyber threats. Mobile attacks are on the rise, and outdated operating systems and misconfigured devices only exacerbate the issue. To protect your data, your users, and your organization’s digital integrity, you need a comprehensive mobile vulnerability management process.

In this episode of the Trust Issues podcast, host David Puner and David Lee, aka “The Identity Jedi,” delve into the evolving landscape of identity security. They discuss the critical challenges and advancements in securing both human and machine identities. Lee shares insights on the fear and misconceptions surrounding AI, drawing parallels to pop culture references like Marvel’s Jarvis.

At AI Summit Vancouver, experts explored AI ethics, security practices, and balancing innovation with a responsibility to shape a safer AI-empowered future.

Cybercriminals are impersonating OpenAI in a widespread phishing campaign designed to trick users into handing over financial information. The emails inform users that a payment for their ChatGPT subscription was declined, inviting them to click a link in order to update their payment method. The phishing emails appear fairly convincing, but trained users could spot some red flags. The most obvious giveaway is that the emails were sent from “info@mtacom,” which is clearly unrelated to OpenAI.

Runtime security in multi-cloud environments encompasses the continuous monitoring and protection of cloud-based resources during their active operation. Unlike traditional security approaches that focus on static configurations or pre-deployment checks, runtime security emphasizes: This approach ensures that potential risks are identified and mitigated in real-time, providing an additional layer of protection against both known and emerging threats in complex multi-cloud setups.

AI and APIs have a symbiotic relationship. APIs power AI by providing the necessary data and functionality, while AI enhances API security through advanced threat detection and automated responses. In 2023, 83% of Internet traffic traveled through APIs, but there was a 21% increase in API-related vulnerabilities in Q3 2024, severely impacting AI. The relationship between AI and APIs expands capabilities while simultaneously increasing potential vulnerabilities.

With the release of iOS 18, Apple has continued to expand its integration of AI technologies, positioning the iPhone as a powerful personal assistant capable of smart recommendations, advanced text and image analysis, and even predictive suggestions. Leveraging on-device machine learning, iOS 18’s AI features tap into user data to provide a personalized experience.

As organizations race to adopt generative AI (GenAI) to drive efficiency and innovation, they face a new and urgent security challenge. While AI-driven tools and large language models (LLMs) open vast opportunities, they also introduce unique vulnerabilities that adversaries are quick to exploit. From data exposure to supply-chain risks, the potential for threats to AI systems is growing just as fast as the technology itself.