Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI - The Good, Bad, and Scary

AI and machine learning (ML) optimizes processes by making recommendations for optimizing productivity, reducing cycles, and maximizing efficiency. AI also optimizes human capital by performing mundane & repetitive tasks 24x7 without the need for rest and minimizing human errors. There are numerous benefits as to how AI can benefit society. As much as AI can propel human progress forward, it can be consequential to our own detriment without proper guidance.

Firewalls for AI: The Essential Guide

As the adoption of AI models, particularly large language models (LLMs), continues to accelerate, enterprises are growing increasingly concerned about implementing proper security measures to protect these systems. Integrating LLMs into internet-connected applications exposes new attack surfaces that malicious actors could potentially exploit.

Trustwave Embarks on an Extended Partnership with Microsoft Copilot for Security

Trustwave today announced it will offer clients expert guidance on implementing and fully leveraging the just-released Microsoft Copilot for Security, a generative AI-powered security solution that helps increase the efficiency and capabilities of defenders to improve security outcomes.

Ensure PII Compliance in India with OpenAI & Top LLMs

India's data protection laws are evolving to safeguard the privacy of its citizens. One crucial aspect is the requirement that Personally Identifiable Information (PII) remain within India's borders for processing. This data residency requirement poses a challenge for businesses that want to leverage powerful AI language models (LLMs) like those offered by OpenAI, which often process data in global centers.

Emerging Threats: What's New in the Cybersecurity Landscape?

In a time where sensitive information is increasingly moving online, AI systems are developing and we are increasingly relying on the internet in our day-to-day activities, cybersecurity threats loom larger than ever. A recent study found that cyber attacks are escalating at an unprecedented rate, with a new attack now occurring every 39 seconds. While a startling statistic, this shouldn't come as a surprise, in 2024 just about everyone is inundated with hacking attempts and scams whether the attack is a phone call, text, email or malicious software.

Introducing ISO 42001: Ensuring responsible AI usage and development

Artificial intelligence (AI) has become integral to many industries, driving new innovation and opportunities for growth. At the same time, the rapid adoption of AI has created new risks for companies, ranging from ethical governance in accountability and fairness to reputation and trust — coupled with the increased cyber risk for organizations developing, deploying, and using AI systems.

Unlocking the Power of Multimodal AI: What is Multimodal Retrieval Augmented Generation?

In the rapidly maturing landscape of artificial intelligence (AI), multimodal learning has emerged as a game-changer. It enables AI systems to process and integrate data from numerous modalities, such as text, images, audio, and video. This approach is crucial for developing AI systems that can understand and interact with the world in a more human-like manner, as our experiences and communication are inherently multimodal.