Enterprise security operations centers (SOCs) are being crushed under the burden of an estimated 200,000 events per day, according to IBM research. And while that’s a lot of events, what complicates matters even further is that only a tiny percentage of those events actually require immediate action. But because alerts lack context, security teams must treat one each equally. That means the average enterprise can waste more than 20,000 hours per year on malware containment alone.

Enter Watson for Cyber Security and IBM QRadar Advisor with Watson

IBM QRadar Advisor with Watson is the first solution to apply the power of Watson for Cyber Security. Watson for Cyber Security maintains a specialized corpus of security knowledge, which includes previously invisible unstructured data in the form of blogs, websites, threat intelligence feeds and more.

But Watson for Cyber Security is far more than a giant security library. Its real-time learning capabilities allow it to derive new knowledge and discover hidden relationships in the information it consumes. QRadar Advisor with Watson combines the analytical prowess of IBM QRadar and the cognitive capabilities of Watson for Cyber Security to investigate and qualify security incidents automatically and advise security analysts on nature and extent of the incident.

 

 

That means security analysts can use cognitive capabilities for threat investigations and remediation — shortening cybersecurity investigations from days or weeks to mere minutes.

Watch our on-demand webinar to see a live demo of QRadar Advisor with Watson

More from Artificial Intelligence

Cloud Threat Landscape Report: AI-generated attacks low for the cloud

2 min read - For the last couple of years, a lot of attention has been placed on the evolutionary state of artificial intelligence (AI) technology and its impact on cybersecurity. In many industries, the risks associated with AI-generated attacks are still present and concerning, especially with the global average of data breach costs increasing by 10% from last year.However, according to the most recent Cloud Threat Landscape Report released by IBM’s X-Force team, the near-term threat of an AI-generated attack targeting cloud computing…

Testing the limits of generative AI: How red teaming exposes vulnerabilities in AI models

4 min read - With generative artificial intelligence (gen AI) on the frontlines of information security, red teams play an essential role in identifying vulnerabilities that others can overlook.With the average cost of a data breach reaching an all-time high of $4.88 million in 2024, businesses need to know exactly where their vulnerabilities lie. Given the remarkable pace at which they’re adopting gen AI, there’s a good chance that some of those vulnerabilities lie in AI models themselves — or the data used to…

Security roundup: Top AI stories in 2024

3 min read - 2024 has been a banner year for artificial intelligence (AI). As enterprises ramp up adoption, however, malicious actors have been exploring new ways to compromise systems with intelligent attacks.With the AI landscape rapidly evolving, it's worth looking back before moving forward. Here are our top five AI security stories for 2024.Can you hear me now? Hackers hijack audio with AIAttackers can fake entire conversations using large language models (LLMs), voice cloning and speech-to-text software. This method is relatively easy to…

Topic updates

Get email updates and stay ahead of the latest threats to the security landscape, thought leadership and research.
Subscribe today