One Article Review
| Source |  AlienVault Blog |
|---|---|
| Identifiant | 2592235 |
| Date de publication | 2021-04-06 10:00:00 (vue: 2021-04-06 11:05:43) |
| Titre | Use AI to fight AI-powered cyber-attacks |
| Texte | This blog was written by an independent guest blogger "AI is likely to be either the best or worst thing to happen to humanity.” ~Stephen Hawking Cyber-attacks are commonly viewed as one of the most severe risks to worldwide security. Cyber-attacks are not the same as they were five years back in aspects of availability and efficiency. Improved technology and more efficient offensive techniques provide the opportunity for cybercriminals to initiate attacks on a vast scale with a higher effect. Intruders employ new methods and launch more comprehensive strategies based on AI to compromise systems. Similarly, organizations have started using robust defense systems that use Artificial Intelligence (AI) to fight AI-powered cyber-attacks. AI in the security world Security professionals spent a lot of time researching how to use AI to exploit its abilities and integrate them into technology solutions. AI enables defense methods and services to identify and respond to cyber threats. The use of AI in security has proven to be beneficial. According to many IT professionals, security is the main reason for AI adoption in corporations. Not only does artificial intelligence increase overall cybersecurity, but also it automates identification and mitigation operations. According to a Capgemini Research Institute, 69% of corporations agree that AI is vital for security because of the growing number of attacks that traditional methods cannot prevent. According to the findings, 56% of companies say that security experts are overstressed. 23% say they are unable to prevent all attacks. According to a TD Ameritrade study, registered investment advisors (RIAs) are more ready to spend in emerging artificial intelligence security projects. With these funding possibilities, the AI cybersecurity industry will grow at a 23.3% CAGR from $8 billion in 2019 to $38 billion in 2026. Organizations use security information event management (SIEM) for threat detection to capture a large amount of data from across organizations. It is impractical for a user to go through such information to identify possible vulnerabilities. Moreover, artificial intelligence helps search for anomalies throughout technology and user tasks. AI-based methods efficiently scan across the system and compare different information sources to detect vulnerabilities. Anomaly detection is a domain where AI is helpful in a companys’ security defense. It also finds various functionalities to prevent attacks by looking at past incidents (Machine Learning). Applications of AI in security AI in Antivirus Services Antivirus software with artificial intelligence detects network oddities of processes that behave suspiciously. AI antivirus detects and prevents network assets from exploit when malicious software is launched in a network. Modeling user behavior AI simulates and assesses the behavior of network users. The aim of evaluating how users engage with the system is to spot overthrow attempts. AI also observes the users’ actions and identifies odd behavior as anomalies. When a new user logs in, AI-powered machine |
| Envoyé | Oui |
| Condensat | $38 according ai when £200 000 2016 2018 2019 2026 abilities about access accessibility accessible according across actions actively activities activity acts addressing administrators adoption advisors after against aggregation agree aim all allowing already also altering although ameritrade amount analysis analytical analytics analyze anomalies anomaly answer antivirus applications approach april are arise arises around artificial aspects assess assesses assessment assets assures attack attacker attackers attacks attempts authentic authentication automated automates automation availability avoid back backup bandwidth banking based baseline because become becoming before behave behavior behavioral behemoths believe beneficial best billion blend blog blogger both built but cagr call can cannot capabilities capgemini capture card cause center centers ceos’ choose circumstances circumvent clip collect threat combat combating combining coming command common commonly companies companys’ compare comparison compel comprehensive compromise computers concern concerns confidential constant consuming consumption containing continual control controlled controls conventional convincing cooling corporations create creating credit crucial current cyber cyberattacks cybercriminals cybersecurity data database dataset datasets day ddos deception decrease defense defrauding detect detected detection detects determine develop developers developing development different difficult disabling disinformation distortion; dns does domain during early effect effectively efficiency efficient efficiently either elevated embed embedded emerging employ enabled enables enabling energy engage engineering enhance enhances errors eruption evaluate evaluating event evidence example execution experience experts experts’ exploit exploited factors false fascinating features fight filters find finding findings finds firewalls five flaws forrester found freelancers from functionalities funding futuristic generate generic get good google great grow growing guest hackers hacking had hand handle happen happens has have hawking helpful helps hide higher highly how however human humanity identification identified identifies identify ids/ips imitate impact implement impractical improve improve privacy improved in a inadvertent incidents increase independent independently indicates indicators individuals industry ineffective information information to infrastructure initiate innovations innovative input inputs inside insight insights institute integrate intelligence intended introducing intruders investment its knowing known language large last launch launched layout learning legal likely locate log logs look looking loopholes lot lower machine machinery machines mail main maintenance make makes making malicious malware management managing manipulate manipulated manipulation many massive material maximize may media methods million misidentification mistakes mitigate mitigation modeling monitored monitoring more moreover most much natural need needs network networks new not notify notifying number observes observing odd oddities of network offensive once one online only operation operational operations opportunities opportunity optimized optimizes organization organizations organizations’ originate over overall overflowing overstressed overthrow particular passable past patching pattern persuade phone plan platform poisoning policies policy positives possibilities possible potential power powered predictive prejudice presently prevalent prevent prevents previous price prioritize privacy procedures processes processing professionals profiles projects propagate protecting protection proven provide queries rapid rates ready real reason recommend reduction registered regrettably regularly relieves rely remedied repair replicating research researching respond response result resulting results reveal revealed reverse rias right rigorously risks robust running same say scale scan scope search securi |
| Tags | Vulnerability Threat |
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