Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

There was a time when “AI red teaming” sounded like a novelty. Now, it’s fast becoming table stakes. If your organization is shipping machine learning or LLM-powered systems into the real world (especially in sensitive domains), you need to know how those systems behave under pressure. That’s where AI red teaming tools come in. These tools help teams stress-test AI the way it will actually be used (and misused).

AI red teaming is the process of simulating adversarial behavior to test the safety, security, and robustness of artificial intelligence systems. It draws inspiration from traditional cybersecurity red teaming (where ethical hackers emulate real attackers to expose flaws) but applies that mindset to machine learning models, data pipelines, and the broader AI stack.

The differences between the US, the UK, and Europe are often minor but important regionally. Sometimes, we use different words to describe the same thing: French fries (US) vs. chips (UK) vs. pommes frites (France) are all fried potatoes. Sometimes, the same word can have different meanings, such as "football" and "football". Oddly, the same point holds true for Red Team testing.

At a recent Sydney luncheon, Trustwave sat down with a room of senior security leaders to dig into the evolving role of red and purple team testing in a modern technical security assurance program. The discussion was led by Trustwave's Craig Searle, Director of Consulting & Professional Services in Pacific at Trustwave and TJ Acton, Director of SpiderLabs Testing, Pacific. More than 20 Sydney-area security professionals attended the event at Restaurant Huberts.

The best way to gauge the current state of an organization’s security posture is often with a blunt lesson, and a Red Team exercise might be the bluntest way to rip off the band-aid to see what security problems exist. That concept is the genesis behind the Trustwave SpiderLabs report Healthcare Sector Deep Dive: Unmasking Security Gaps.

Though 2024 may be behind us, many of the security threats and vulnerabilities that organizations faced last year remain. The CrowdStrike Professional Services Red Team tracks them all in its efforts to defend organizations against adversaries. The three most common exploitation paths we encountered were: In this blog, we break down these three critical exploitation paths, detailing how they occur and what steps organizations can take to mitigate them.

Generative AI is changing industries by making automation, creativity, and decision-making more powerful. But it also comes with security risks. AI models can be tricked into revealing information, generating harmful content, or spreading false data. To keep AI safe and trustworthy, experts use GenAI Red Teaming. This method is a structured way to test AI systems for weaknesses before they cause harm.

Are You Testing for Compliance or Preparing for Real Attacks? Cybersecurity isn’t just about checking boxes—it’s about staying ahead of threats. Many businesses rely on Penetration Testing (Pentesting) and Red Teaming to identify vulnerabilities. However, these traditional methods often assume that attackers play by the same rules as defenders. Reality has other plans.