Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How Protecto's Privacy-First Approach Revolutionizes the Modern AI Data Stack

In an era where artificial intelligence (AI) is redefining industries, data privacy remains a critical challenge for enterprises. With organizations handling vast amounts of sensitive information, ensuring privacy and compliance while maintaining AI accuracy is paramount. Protecto is a new standard for securing modern AI data stack, enabling enterprises to leverage AI without compromising on data security, regulatory compliance, or operational performance.

The Impact of AI on Cybersecurity: Balancing the Risks and Opportunities

As artificial intelligence (AI) advances, I am seeing a lot of discussion on LinkedIn and in the online media about the advantages it may bring for either the threat actors (“batten down the hatches, we are all doomed”) or the security defence teams (“it’s OK, relax, AI has you covered”).

AI-generated phishing attacks are becoming more convincing

It's time for you and your colleagues to become more skeptical about what you read. That's a takeaway from a series of experiments undertaken using GPT-3 AI text-generating interfaces to create malicious messages designed to spear-phish, scam, harrass, and spread fake news. Experts at WithSecure have described their investigations into just how easy it is to automate the creation of credible yet malicious content at incredible speed.

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JUMPSEC works on a prototype lightweight anomaly detection system

Deploying machine learning models in the cyber security industry is complicated - especially with budget and technology limitations. Especially when it comes to anomaly detection, there's been much debate over privacy, balance, budget, robustness, cloud security and reliable implementation. For cyber security companies using machine learning technologies, ensuring clients' safety with trustworthy artificial intelligence (AI) must always be the primary objective.

Combining Artificial Intelligence with Threat Intelligence

One of the primary challenges that our security analysts encounter is where and how to best use their time. Monitoring and reviewing the constant influx of data and alerts produced by our client’s networks whilst also finding the time to keep on top of trending and emerging threats is no mean feat, and not particularly conducive to a healthy work-life balance…

Artificial Intelligence, a new chapter for Cybersecurity?

Artificial Intelligence (AI) is a trending topic for many industries now. A variety of organizations currently employ AI mechanisms to support their operational functions. Automated tasks, natural language processing, deep learning, and problem-solving; such AI characteristics have made business tasks much easier. The factor of security in AI is largely overlooked, and with the increasing number of cyber threats and attacks, AI security serves as a crucial element that should be paid attention to.

Artificial Intelligence and Machine Learning: A Growing Reality

James Rees talks about ai or artificial intelligence and machine learning as science fiction staples for 20 years but is now a growing reality. Connect with James Rees Hello, I am James Rees, the host of the Razorwire Podcast. This podcast brings you insights from leading cyber security professionals who dedicate their careers to making a hacker’s life that much more difficult.

CrowdStrike's Approach to Artificial Intelligence and Machine Learning

CrowdStrike combines human and machine intelligence to uncover new threats and enable high fidelity detections. Machine learning is implemented across the process lifecycle in the CrowdStrike platform. In this demonstration we will dive into how machine learning is used and how it can benefit your organization’s security.