One Article Review
| Source |  AlienVault Lab Blog |
|---|---|
| Identifiant | 8447230 |
| Date de publication | 2024-02-06 11:00:00 (vue: 2024-02-06 11:07:49) |
| Titre | AI en cybersécurité: 8 cas d'utilisation que vous devez connaître AI in Cybersecurity: 8 use cases that you need to know |
| Texte | The content of this post is solely the responsibility of the author. AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. Cybercriminals live on the cutting edge of technology, and nothing fits the label more than artificial intelligence. It helps them design sophisticated, evolving malware, pose as higher-ups, and even successfully imitate biometrics like one’s voice. The use of AI in cyber security has developed as a natural response to these new and unpredictable challenges. How are cyber security experts using artificial intelligence to thwart the bad guys? The following eight use cases will tell you all you need to know. 1. Threat prevention and preemption It\'s not uncommon for businesses and organizations to be under persistent attack. Cyber threats can burrow deep into their networks and spread chaos for months before detection. Since AI models have large datasets of past behaviors to draw on, they can spot anomalous behavior far more quickly. Preventing attacks before deployment is among cyber security’s most desirable goals. If you have the right information, it can become a reality. For example, a cybersecurity team can use a proxy network to regularly scrape the contents of forums and other sites dedicated to hacking. They may then act on the gathered info and meet future attacks head-on. 2. Timely incident response Not even an AI-enhanced cybersecurity framework can stop all incoming attacks. Someone might connect an unsanctioned device, or an update might contain malicious code. Either way, a robust cyber security AI can respond to such incidents promptly, blocking or deleting the offending actors. 3. Data protection Data is the basis on which modern economies operate. Whether you obtain it through web scraping API, surveys, as part of your day-to-day operations, etc., the data you collect needs powerful safeguards. AI can help by classifying and automatically encrypting it. Access control is another process you can automate, as is compliance with data protection laws like the GDPR. |
| Envoyé | Oui |
| Condensat | 00s abilities access accessing account accounts act actors adopt advanced ai’s ais algorithms all also among analyzing anomalous another antimalware antivirus any api applies approach are article artificial assess associated at&t attack attacks authenticate authentication author automate automatically bad based basis become before behavior behavioral behaviors being benign better between bide biometrics blocking bombards breach broader burrow business businesses but bypass can case cases challenges changes chaos choke classifying code codes collect come company complex compliance compromised conduct confidently connect constantly contain content contents control conventional convincing copied could craft cursor cutting cyber cybercriminals cybersecurity cybersecurity: daily data datasets day deal dedicated deep deleting deploying deployment depth design designed desirable detection develop developed device directory documented does draw driven dynamics early economies edge effective eight either email emerging encompassing encrypting endorse endpoint endpoints enhanced enough especially etc even evolving example excellent expected experts exploit expression factor far fighting fire first fits following forums found framework fraud fraudulent frequently from future gateway gateways gathered gdpr goals guys hackers hacking handful handy has have head help helps here higher hope how human identified identifying idiosyncrasies imitate immune implement implementations incident incidents incoming indicate individual ineffective inferring info information innocent insider intelligence intent internet its keystroke know label language large laws leading learned learning lets letting leverage like linguistically lists live luckily machine made main malicious malware may means measure meet messages mfa might millions mimic models modern months more most mouse movement multi must mutating natural need needs network networks new not nothing obtain offending offer old one’s ones online only operate operations organizations other out outliers part password passwords past pattern patterns payment payments pcs persistent phishing pose positions possible post powerful preemption prerequisite pressure prevent preventing prevention previously process produces profiling promptly prospective protecting protection provided proxy quickly rather real reality recognition recognizing regular regularly relegating rely remains reputable respond response responsibility results revitalizing revolutionizing right robust role sadly safeguard safeguards same scale scams scrape scraping screen second seconds secure security security’s senders sense services set shaped since sites skilled smartphones sniffing software solely someone something sophisticated spam specifically spot spread starting stole stop strength successfully such surveys system takeover tapping team technology tell than theft them themes then these threat threatened threats through thwart time timely too tools traditional transaction transactions trash trivial typing uncanny uncommon under unhindered unique unpredictable unsanctioned update ups use used useful user users using variations vary views virus viruses voice volumes want way weak weaknesses web well weren’t whether which who wildly will works your |
| Tags | Spam Malware Tool Threat |
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| Notes | ★★ |
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