More on offensive AI

Leveling up: Augmenting the adversary with AI

Darktrace Blog

No matter how well-trained or how well-staffed, humans alone will no longer be able to keep up with the sophistication of cyber attacks. A post from Darktrace Director of Threat Hunting, Max Heinemeyer, discusses how to stay ahead of these new threats and how AI is becoming a necessary part of the defender’s stack.

Read Max's blog post »

The Emergence Of Offensive AI

How Companies Are Protecting Themselves Against Malicious Applications Of AI


In recent years, an onslaught of new cyberattacks and tactics has threatened organizations globally. Most cybersecurity decision makers foresee adversaries modifying their tactics to circumvent traditional/legacy security tooling and technology but also to infiltrate new areas of digitalization.<

Artificial intelligence (AI) is no longer a tool only for the “good guys”; malicious actors now use it as a force multiplier as well. This new era of offensive AI leverages various forms of machine learning to supercharge cyberattacks, resulting in unpredictable, contextualized, speedier, and stealthier assaults that can cripple unprotected organizations.

In November 2019, Darktrace commissioned Forrester Consulting to evaluate the emergence of offensive AI, organizations’ current security practices, and how well prepared they are to fight off such attacks.

Access the report »

AI is real now: A conversation with Sophie Vandebroek

Why there will never be another “AI winter,” and what IBM and MIT are doing together to ensure that.


More times than almost any other field of innovation, artificial intelligence has weathered recurring cycles of overinflated hope, followed by disappointment, pessimism, and funding cutbacks. But Sophie Vandebroek, IBM’s vice president of emerging technology partnerships, thinks the AI winters are truly a thing of the past, thanks to the huge amounts of computing power and data now available to train neural networks.

In this episode Vandebroek shares examples of real-world applications enabled by this shift, from image recognition to chatbots. And she describes the mission of the new MIT-IBM Watson AI Lab, a $240 million, 10-year collaboration between IBM researchers and MIT faculty and students to focus on the core advances that will make AI more useful and reliable across industries from healthcare to finance to security.

Listen to the podcast »