The risk both to and from AI models is a topic so hot it’s left the confines of security conferences and now dominates the headlines of major news sites. Indeed, the deluge of frightening hypotheticals can make AI feel like we are navigating an entirely new frontier with no compass. And to be sure, AI poses a lot of unique challenges to security, but remember: Both the media and AI companies have a vested interest in upping the fright hype to keep people talking.

In the rapidly evolving AI landscape, the principle of least privilege is a crucial security and compliance consideration. Least privilege dictates that any entity—user or system—should have only the minimum level of access permissions necessary to perform its intended functions. This principle is especially vital when it comes to AI models, as it applies to both the training and inference phases.

According to Cybersecurity Ventures, the cost of cybercrime is expected to surge by 15 percent annually over the next five years, soaring to a staggering $10.5 trillion annually by 2025, up from $3 trillion in 2015. This exponential growth underscores the urgent need for a comprehensive understanding and proactive defense against the myriad of cyber threats looming on the horizon.

The best way to securely manage database access for remote users is by using a Privileged Access Management (PAM) solution. PAM solutions provide full visibility and control over database access to prevent privilege misuse, reducing the likelihood of an insider threat harming your organization.

Granting privileged access to an end user’s device is a common practice in organizations. Admins do it to give end users the ability to manage administrative tasks such as downloading applications and accessing resources on their devices. It can be done manually, which is cumbersome and introduces risks. Or it can be managed to improve user productivity without requiring additional IT help or intervention, so that IT can focus on higher priority tasks.

Get Free Mobile Application Penetration Testing Checklist Even though iOS and Android come with robust security features, like secure data storage and communication APIs, they only work well if they’re set up right. That’s why thorough mobile app penetration testing is vital—to ensure these features are correctly integrated and protect your data effectively.

In recent years, there's only been a handful of data breaches within public companies that could be considered financially "material." These breaches include those often pointed to as examples in cybersecurity presentations: the 2013 Target breach, the 2017 Equifax breach, the 2019 Capital One breach, and most recently, the Colonial Pipeline incident.

Threat hunting is a massive commitment of time, resources, team members, and technology. Any investment that impactful would normally be one that was carefully measured to ensure it was driving sufficient value for the team. The thing is, there’s no established benchmark of “success” in threat hunting.

Trustwave was named a Major Player in the IDC MarketScape: Worldwide Cybersecurity Consulting Services 2024 Vendor Assessment (doc # US50463223, March 2024). The report noted “The acquisition by MC2 Security Fund — the private equity fund of internationally recognized security advisory firm The Chertoff Group — successfully closed in January 2024.