One Article Review
| Source |  AlienVault Blog |
|---|---|
| Identifiant | 2241003 |
| Date de publication | 2021-01-25 11:00:00 (vue: 2021-01-25 11:05:18) |
| Titre | How reliable is real-time security? |
| Texte | This blog was written by an independent guest blogger. Today’s world is a fast-paced one, and that reality means changing the approach to security. Traditional ways of securing networks or premises often involved responding to threats after they happened or preparing for the most likely attacks based on experience. Now, an option called real-time security — or real-time adaptive security — allows people to use a different method. Real-time setups monitor an entire network and collect details about traffic levels, connected devices, which parties try to access particular resources and when those attempts occur. They also learn what constitutes typical behavior, generating alerts when activity strays from the norm. However, many people understandably wonder about the reliability of real-time security systems. How could they minimize the chances of the technology causing false alarms? Real-time security could relieve team member burdens Many companies lack enough personnel to deal with all potential security threats. There is also a higher likelihood of attacks going undetected for too long, giving hackers more time to cause severe and costly damage. However, many real-time systems have automated artificial intelligence (AI) features that categorize threats and suggest which ones to tackle first. A 2019 IBM survey found that 76% of people who use cybersecurity automation in their organizations highly rated their ability to detect threats versus 53% of respondents who did not use automation as extensively. If a real-time security system successfully separates threats from harmless incidents, it could help overstretched teams better manage their time and prioritize their efforts. However, a poorly trained or overly sensitive real-time system could bombard people with too much information, making it challenging to find genuine dangers. As of February 2020, 887 law enforcement agencies had signed agreements with Ring, which offers real-time footage from connected doorbells. Many could not directly connect arrests to the camera footage, though. Some also said the way Ring makes it easy for people to share clips led to problems where residents asked the police to handle trivial issues, like raccoons in their yards. Real-time information — whether collected to improve physical or cybersecurity — can become reliable and valuable. However, the system must weed out irrelevant data. Effective real-time security requires contextual analysis The security sector is not the only industry to depend on real-time information. Health care providers rely on it to make faster, more personalized care choices for their patients. Research also showed that 92% of companies are increasing their investments in real-time analytics for financial decision-making. Successfully relying on real-time data requires looking at the information in context. Some people become fixated on single data points, failing to see the full picture. That could become problematic when someone tries to access a network’s resource. For example, what if a worker based in the United States provides the correct login information but does so from a German IP address? The lack of location consistency may be a clue to an attack attempt. Adaptive authentication solutions are becoming more widely utilized in the security industry. They use machine learning and |
| Envoyé | Oui |
| Condensat | 2019 2020 887 ability about access accurate activity adaptive address adjusted advances after agencies agreements alarms alerts algorithms all allows also amount analysis analysts analytics apply approach approaches are arrests artificial asked assume attack attacks attempt attempts attractive authentication automated automation automobiles’ avoid based become becoming behavior believe better between blog blogger bombard boost bugs burdens but calculate called camera can captured care categorize cause causing challenges challenging chances changing choices choose civil clips clue collect collected companies company compiled computer concerned conclusions connect connected consideration consistency constitutes containing context contextual correct costly could critical cybercriminals cybersecurity damage dangerous dangers data deal decision demonstrated depend despite details detect devices did different differentiate directly does doing doorbells draw easier easy effective efforts elements enforcement enough entire especially evaluate events eventually ever every example experience exploit extensively failing false fast faster features february financial find first fix fixated flood focus footage found from full generally generating genuine german giving going graffiti growing guest hack hackers hackers' had handle happened harmless have having havoc health help high higher highly how however ibm ignore immediately impacts improve inaccurate incidents increasing indeed independent indicators industry infallible information inherent intelligence interaction internal investments involved irrelevant issues it’s keep know lack law leaders learn learning led levels like likelihood likely limit limitations location login long looking machine magic make makes making manage many may mean means member method methods military minimize misbehave misclassify missed modernized monitor more most much must network network’s networks norm not now number occur offers often one ones only option options organization’s organizations other otherwise out overly overstretched paced particular parties patients people perceive perfect perfectly personalized personnel physical picture pinpoint plus points police poorly pose possible potential powered premises preparing prioritize problematic problems process processed products proof providers provides purchases raccoons rated rather real reality reliability reliable relieve rely relying remedy remind requires research researchers residents resource resources respondents responding ring risk safeguards said same satisfying says score sector securing security see seek sensitive separates setups severe share shortcomings should showed signed signs similar since single society software solution solutions some someone specifically speed states stickers stop strategies strays successfully such suggest survey system systems tackle take tampering targets team teams tech technology than them things thinking those though threats time today’s too tools traditional traffic trained tremendous tries trivial trusted trusting try typical understandably undetected united update updating use user users using usually utilized valuable versus view vision vulnerable way ways weed what when where whether which who widely wonder worker working world worth would wreak written yards |
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