As cyberattacks increase in scale and complexity, artificial intelligence (AI) helps resource-intensive security operations and analysts stay ahead of the threat. Artificial intelligence is changing the game by analyzing vast amounts of risk data to accelerate response times and expand the capacities of underfunded security operations. AI has the potential to add value not only to an organization’s operations, but also to human functions associated with monitoring, detecting, and responding to threats.
Cognitive Computing is capable of monitoring, analysing patterns, providing context for a large number of alerts, taking action and making recommendations in real time. Companies use machine learning to detect and recognize compromised accounts and identify and respond to suspicious activity.
First, more efficient and effective automated data processing can significantly improve the efficiency of current security analysis solutions and provide additional external threat information. Second, cognitive security can provide analysts with powerful decision-support tools that simplify and accelerate their work, thereby reducing the skills gap that afflicts the security industry today. Third, the same cognitive technology can be applied to a company’s own digital assets to ensure better analysis and information protection.
PatternEx, an artificially intelligent cybersecurity tool that detects patterns of malicious behavior in real time. PatternEx dynamically accepts security analysts’ feedback to create predictive models that continuously adapt to detect new and existing threats. Using this feedback PatternEx is continuously trained to improve detection accuracy. Just like a new employee, the company’s Virtual Analyst Platform takes on the task of studying corporate cybersecurity protocols to make accurate assessments. Aces to train the new generation of systems to understand and learn from the ever-evolving security threats.
Vectra’s advanced AI technology Cognito automates tasks normally performed by security analysts and significantly reduces the workload required to conduct threat investigations. The Cognito AI network-detection and response platform captures network metadata, enriches it with machine learning-derived security intelligence, and applies it to detection and response use-cases.
With Watson, IBM researchers want to make life easier for security analysts. Watson can find data on emerging forms of malware in online security bulletins, develop new remediation strategies, and establish connections to better stop threats. Watson Cyber Security will be one of the first technologies to enable large-scale detection of security data by using reasoning to learn from human-generated, unstructured data that was previously inaccessible to conventional security tools.
This is achieved by integrating Watson with IBM’s new cognitive SOC platform, which brings advanced cognitive technology closer to security operations and enables you to respond to threats at endpoints, networks, users and in the cloud. According to IBM, Watson supercomputer will be available for all cybersecurity requirements, with a range of new capabilities for security analysts and security experts. A highlight of the Watson platform will be the IBM QRadar Advisor, which is the first tool to tap Watson’s body of cybersecurity insights.
Technically, Watson was trained in the language of cyber security and is designed to power the Cognitive Security Operations Center (SOC). IBM’s Watson will therefore be the first supercomputer to combine artificial intelligence and sophisticated analytical software to deter cyber threats. Of course, it will never replace human security analysts, but that is not its goal.
The Versive Security Engine (VSE) uses artificial intelligence to separate critical risks from routine network activity, identify the chain of activity that leads to an attack, and help security teams prevent attacks. The VSE helps companies and organizations identify critical threats and helps teams save time that might otherwise be spent investigating alerts that do not require immediate attention.
LogRhythm’s AI Engine provides a platform for companies or organizations to quickly identify and respond to cyber security threats. AI Engine enables organizations to predict, detect and swiftly respond to intrusions, insider threats, fraud, behavioral anomalies with users, networks and endpoints, compliance violations, disruptions to IT services.
It is clear that technological advances, regardless of industry, require a new level of security and cyber resilience. While malicious actors may want to use technology to their detriment, experts in the field are working to overwhelm opponents with technology designed to do good. This frees up security experts for a more effective and efficient use of technology, not to mention a more efficient and effective response to cyber attacks and threats.
As piles of data continue to pile up, getting the right information on time can make a huge difference to your business, and forgetting can cause serious problems.
In summary, cognitive computing can be defined in such a way that machine learning and artificial intelligence enable machines to study and understand data, which can then be used to gain meaningful insights to help businesses and make systems smarter. More than half of all digital consumers use them, even if they are not fully aware of the technology. The International Data Corporation (IDC) has published a study showing that revenues from global cognitive systems and artificial intelligence would exceed $47 billion by 2020.