However, AI systems are capable of making life-threatening mistakes if given bad input. And the systems have reached far better-than-human performance levels. These technologies enable safety-critical applications like autonomous driving. Take “connectionist AI” systems, for example. But there’s another type of danger AI can lead to as well.Īt a recent AI for Good webinar, Arndt Von Twickel, technical officer at Germany’s Federal Office for Information Security (BSI), said that to deal with AI-based vulnerabilities, engineers and developers need to evaluate existing security methods, develop new tools and strategies and formulate technical guidelines and standards.
#Worms 3d for mobile code#
In the security industry, there’s already evidence that criminals are using AI to write malicious code or help adversaries generate advanced phishing campaigns. These days, artificial intelligence has captured the world’s imagination. Will the tech industry continue down the same dangerous path with AI applications? Will we fail to build in security, or worse, simply ignore it? What might be the consequences? The new AI threat And that’s why threat actors continue to exploit Log4j, even though it’s easy to fix. Even worse, some may choose to ignore the danger.
#Worms 3d for mobile Patch#
Many security and IT professionals have no idea whether Log4j is part of their software supply chain, and you can’t patch something you don’t even know exists. But the problem isn’t software vulnerability alone it’s also the lack of awareness. Part of the problem was that security wasn’t fully built into Log4j.
Log4j vulnerabilities impacted over 35,000 Java packages. This exposed a massive swath of applications and services, from popular consumer and enterprise platforms to critical infrastructure and IoT devices. In 2021, the infamous Log4Shell bug was found in the widely used open-source logging library Log4j. Even though companies have security on their mind, there are many gaping holes that must be backfilled. Some insurers won’t even provide coverage for companies that can’t prove they have adequate security.Įven though everyone is aware of the threat, successful attacks keep occurring. This means many claims are being paid out.
Likewise, cyber insurance premiums have also risen steeply.
No wonder security teams feel overworked.
Mind you, these are the number of attacks per corporation per week. Here’s a chart showing how the number of cyberattacks has exploded over the last several years. Have we learned anything from the current onslaught of cyberattacks? Or will the desire to get to market first continue to drive companies to throw caution to the wind? Forgotten lessons? Upon the release of ChatGPT, OpenAI ignited a race to incorporate AI technology into every facet of the enterprise toolchain. “Because at the end of the day, we have allowed speed to market and features to really put safety and security in the backseat.” And today, no place in technology demonstrates the obsession with speed to market more than generative AI. “We don’t have a cyber problem, we have a technology and culture problem,” Easterly said. This occurred as the technology industry prioritized speed to market over security, said Easterly at a recent Hack the Capitol event in McLean, Virginia. If you ask Jen Easterly, director of CISA, the current cybersecurity woes are largely the result of misaligned incentives.
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