Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Runtime security in multi-cloud environments: best practices and importance

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-Powered APIs: Expanding Capabilities and Attack Surfaces

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.

Investigating iOS 18's AI Capabilities

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.

CrowdStrike Launches AI Red Team Services to Secure AI Innovation

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.

How AI Can Help Law Firms Ensure Cybersecurity

Artificial intelligence is now being used in many sectors and can have very positive effects. Routine jobs that people no longer want to deal with are given to artificial intelligence and completed efficiently. One of these sectors can be the cyber security sector. Many companies need to ensure their cyber security, including law firms, and artificial intelligence can help companies in this regard.

How to Prevent Factory Reset on Android Work Devices?

Keeping your Android work devices safe from unwanted factory resets is really important for businesses today. Let’s learn how Mobile Device Management (MDM) can help prevent the misuse of Android work devices from unauthorized hard and soft resets, making it an easy way to protect your data and keep everything working smoothly!

Gaining Security Context with API Session Data

API attacks don't always occur in a single request, and more sophisticated attacks require additional context. Whether it's account takeover or scraping, understanding the behavior of an attacker across a session is key to accurate detection and effective investigation. Today, organizations often lack the ability to delve into the details of specific API sessions. Data is spread across multiple tools, or simply unavailable. The Wallarm platform allows users to seamlessly navigate between attack detections and the surrounding session data to fully understand the behavior and interactions involved.

Network Digital Twins Deliver Reliable AI Outcomes

In the realm of artificial intelligence (AI), especially when applied to networking and security, the accuracy and reliability of data are paramount. AI systems are only as good as the data they consume, and for network engineers, feeding these systems with up-to-date and precise information can make the difference between optimal performance and costly errors.

The Crucial Network Security Guardrails for Ensuring GenAI Success

Millions of organizations are actively deploying and leveraging generative AI (GenAI) applications in a bid to streamline productivity, reduce costs and improve efficiencies. A high percentage of enterprises are in the midst of trialing GenAI pilot programs, and by 2026, it is anticipated that more than 80% of enterprises will have deployed generative AI-enabled applications, according to Gartner.