GET https://rct.dev.bbntimes.com/technology/machine-learning-is-transforming-underwriting-in-the-insurance-sector

Response
200 OK
IP
216.73.216.240
Profiled on
Token
069720

ArticleController :: show

Request

GET Parameters

None

POST Parameters

None

Uploaded Files

None

Request Attributes

Key Value
_controller 
"App\Controller\ArticleController::show"
_firewall_context 
"security.firewall.map.context.main"
_links 
Symfony\Component\WebLink\GenericLinkProvider {#3613
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      -attributes: [
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      -rel: [
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    3730 => Symfony\Component\WebLink\Link {#3730
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    3728 => Symfony\Component\WebLink\Link {#3728
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      -rel: [
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      ]
      -attributes: [
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      ]
    }
    3727 => Symfony\Component\WebLink\Link {#3727
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      -rel: [
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      ]
      -attributes: [
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      ]
    }
    3726 => Symfony\Component\WebLink\Link {#3726
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      -rel: [
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      ]
      -attributes: [
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      ]
    }
    3725 => Symfony\Component\WebLink\Link {#3725
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    }
    3723 => Symfony\Component\WebLink\Link {#3723
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      -rel: [
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      -attributes: [
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    }
    3722 => Symfony\Component\WebLink\Link {#3722
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      -attributes: [
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    3721 => Symfony\Component\WebLink\Link {#3721
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}
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"article_show"
_route_params 
[
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]
_security_firewall_run 
"_security_main"
_stopwatch_token 
"6fe930"
category 
"technology"
slug 
"machine-learning-is-transforming-underwriting-in-the-insurance-sector"

Request Headers

Header Value
accept 
"*/*"
accept-encoding 
"gzip, br, zstd, deflate"
connection 
"close"
cookie 
"PHPSESSID=g3vs9ukm7cv39cermr1rihh2dd"
host 
"rct.dev.bbntimes.com"
user-agent 
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
x-php-ob-level 
"1"

Request Content

Request content not available (it was retrieved as a resource).

Response

Response Headers

Header Value
cache-control 
"no-cache, private"
content-type 
"text/html; charset=UTF-8"
date 
"Sat, 21 Jun 2025 17:32:50 GMT"
link 
"</build/runtime.js>; rel="preload"; as="script",</build/644.js>; rel="preload"; as="script",</build/502.js>; rel="preload"; as="script",</build/app.js>; rel="preload"; as="script",</build/view-more.js>; rel="preload"; as="script",</build/term-condition.js>; rel="preload"; as="script",</build/contact.js>; rel="preload"; as="script",</build/scroll-infinite-article.js>; rel="preload"; as="script",</build/app.css>; rel="preload"; as="style",</build/cookie-style.css>; rel="preload"; as="style",</build/term-condition-css.css>; rel="preload"; as="style",</build/contact-css.css>; rel="preload"; as="style",</build/comment-css.css>; rel="preload"; as="style""
x-debug-token 
"069720"

Cookies

Request Cookies

Key Value
PHPSESSID 
"g3vs9ukm7cv39cermr1rihh2dd"

Response Cookies

No response cookies

Session 6

Session Metadata

Key Value
Created 
"Sat, 21 Jun 25 17:32:32 +0000"
Last used 
"Sat, 21 Jun 25 17:32:48 +0000"
Lifetime 
0

Session Attributes

Attribute Value
_csrf/https-comment 
"e_5L1CauE-repIIp6ChybbvB1UbC19U4qgKMCtEU_pg"
_csrf/https-cookie_accept 
"PvcmHPhIsmA7SRKWvywhnmRl2cDzy9mZNh0XnsomUNc"

Session Usage

6 Usages
Stateless check enabled
Usage
Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:76
Show trace 
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:79
Show trace 
[
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:52
Show trace 
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:56
Show trace 
[
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    "function" => "show"
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    "type" => "->"
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    "function" => "handleRaw"
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    "line" => 197
    "function" => "handle"
    "class" => "Symfony\Component\HttpKernel\HttpKernel"
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    "line" => 35
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  [
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    "line" => 29
    "function" => "run"
    "class" => "Symfony\Component\Runtime\Runner\Symfony\HttpKernelRunner"
    "type" => "->"
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    "line" => 5
    "args" => [
      "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/autoload_runtime.php"
    ]
    "function" => "require_once"
  ]
]
Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage:41
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-core/Authentication/Token/Storage/UsageTrackingTokenStorage.php"
    "line" => 41
    "function" => "getMetadataBag"
    "class" => "Symfony\Component\HttpFoundation\Session\Session"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/twig-bridge/AppVariable.php"
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    "function" => "getToken"
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    "function" => "twig_get_attribute"
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    "function" => "render"
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  [
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    "function" => "handleRaw"
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    "type" => "->"
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    "function" => "handle"
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    "function" => "run"
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  [
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    "line" => 5
    "args" => [
      "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/autoload_runtime.php"
    ]
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]
Symfony\Component\Security\Http\Firewall\ContextListener:171
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-http/Firewall/ContextListener.php"
    "line" => 171
    "function" => "remove"
    "class" => "Symfony\Component\HttpFoundation\Session\Session"
    "type" => "->"
  ]
  [
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    "line" => 116
    "function" => "onKernelResponse"
    "class" => "Symfony\Component\Security\Http\Firewall\ContextListener"
    "type" => "->"
  ]
  [
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    "line" => 220
    "function" => "__invoke"
    "class" => "Symfony\Component\EventDispatcher\Debug\WrappedListener"
    "type" => "->"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/event-dispatcher/EventDispatcher.php"
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    "function" => "callListeners"
    "class" => "Symfony\Component\EventDispatcher\EventDispatcher"
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  [
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    "function" => "dispatch"
    "class" => "Symfony\Component\EventDispatcher\EventDispatcher"
    "type" => "->"
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    "function" => "dispatch"
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  [
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    "function" => "filterResponse"
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]

Flashes

Flashes

No flash messages were created.

Server Parameters

Server Parameters

Defined in .env

Key Value
APP_ENV 
"dev"
APP_SECRET 
"0a988e63f011514eaabfc650b599af4d"
CORS_ALLOW_ORIGIN 
"*"
DATABASE_URL 
"mysql://bbndb_rctuser:33F5W25z40or0f7@localhost:3306/rct_bbntimes"
GOOGLE_RECAPTCHA_SECRET_KEY 
"6LdV5fgpAAAAANxzTG8ZMfIjil1wu-1vrQvnUt-x"
GOOGLE_RECAPTCHA_SITE_KEY 
"6LdV5fgpAAAAAENKcn73MJAhQrbtQeqgyC4wDLMP"
MAILER_DSN 
"smtp://no-reply%40rct.dev.bbntimes.com:Bl6%26gLD48%26Of919@rct.dev.bbntimes.com:465"
MARIADB_PASSWORD 
"i!87pK&!85ezc8"

Defined as regular env variables

Key Value
APP_DEBUG 
"1"
BASE 
"/public"
CONTEXT_DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
CONTEXT_PREFIX 
""
DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
FCGI_ROLE 
"RESPONDER"
GATEWAY_INTERFACE 
"CGI/1.1"
HTTPS 
"on"
HTTP_ACCEPT 
"*/*"
HTTP_ACCEPT_ENCODING 
"gzip, br, zstd, deflate"
HTTP_CONNECTION 
"close"
HTTP_COOKIE 
"PHPSESSID=g3vs9ukm7cv39cermr1rihh2dd"
HTTP_HOST 
"rct.dev.bbntimes.com"
HTTP_USER_AGENT 
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
PATH 
"/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin"
PHP_SELF 
"/public/index.php"
PP_CUSTOM_PHP_CGI_INDEX 
"plesk-php81-fastcgi"
PP_CUSTOM_PHP_INI 
"/var/www/vhosts/system/rct.dev.bbntimes.com/etc/php.ini"
QUERY_STRING 
""
REDIRECT_BASE 
"/public"
REDIRECT_HTTPS 
"on"
REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_HTTPS 
"on"
REDIRECT_REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/machine-learning-is-transforming-underwriting-in-the-insurance-sector"
REDIRECT_REDIRECT_SCRIPT_URL 
"/technology/machine-learning-is-transforming-underwriting-in-the-insurance-sector"
REDIRECT_REDIRECT_SSL_TLS_SNI 
"rct.dev.bbntimes.com"
REDIRECT_REDIRECT_STATUS 
"200"
REDIRECT_REDIRECT_UNIQUE_ID 
"aFbswVDGsIl0EBapMk87bwAAANc"
REDIRECT_SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/machine-learning-is-transforming-underwriting-in-the-insurance-sector"
REDIRECT_SCRIPT_URL 
"/technology/machine-learning-is-transforming-underwriting-in-the-insurance-sector"
REDIRECT_SSL_TLS_SNI 
"rct.dev.bbntimes.com"
REDIRECT_STATUS 
"200"
REDIRECT_UNIQUE_ID 
"aFbswVDGsIl0EBapMk87bwAAANc"
REDIRECT_URL 
"/public/technology/machine-learning-is-transforming-underwriting-in-the-insurance-sector"
REMOTE_ADDR 
"216.73.216.240"
REMOTE_PORT 
"14735"
REQUEST_METHOD 
"GET"
REQUEST_SCHEME 
"https"
REQUEST_TIME 
1750527169
REQUEST_TIME_FLOAT 
1750527169.8535
REQUEST_URI 
"/technology/machine-learning-is-transforming-underwriting-in-the-insurance-sector"
SCRIPT_FILENAME 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/public/index.php"
SCRIPT_NAME 
"/public/index.php"
SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/machine-learning-is-transforming-underwriting-in-the-insurance-sector"
SCRIPT_URL 
"/technology/machine-learning-is-transforming-underwriting-in-the-insurance-sector"
SERVER_ADDR 
"5.196.1.209"
SERVER_ADMIN 
"[no address given]"
SERVER_NAME 
"rct.dev.bbntimes.com"
SERVER_PORT 
"443"
SERVER_PROTOCOL 
"HTTP/1.1"
SERVER_SIGNATURE 
"<address>Apache Server at rct.dev.bbntimes.com Port 443</address>\n"
SERVER_SOFTWARE 
"Apache"
SSL_TLS_SNI 
"rct.dev.bbntimes.com"
SYMFONY_DOTENV_VARS 
"APP_ENV,APP_SECRET,DATABASE_URL,MARIADB_PASSWORD,CORS_ALLOW_ORIGIN,MAILER_DSN,GOOGLE_RECAPTCHA_SECRET_KEY,GOOGLE_RECAPTCHA_SITE_KEY"
UNIQUE_ID 
"aFbswVDGsIl0EBapMk87bwAAANc"

Sub Requests 6

CookieController :: renderAnalysis (token = a5cd83)

Key Value
_controller 
"App\Controller\CookieController::renderAnalysis"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"4d137c"

AppController :: renderHeader (token = fd5f78)

Key Value
_controller 
"App\Controller\AppController::renderHeader"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"6abc84"
slug 
"home"

ArticleController :: trendingArticle (token = d98e44)

Key Value
_controller 
"App\Controller\ArticleController::trendingArticle"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"c4cd95"
category 
"Technology"

ArticleController :: relatedArticles (token = 866508)

Key Value
_controller 
"App\Controller\ArticleController::relatedArticles"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"1c6225"
current_article 
App\Entity\Article {#1094
  -id: 11875
  -title: "Machine Learning is Transforming Underwriting In The Insurance Sector"
  -slug: "machine-learning-is-transforming-underwriting-in-the-insurance-sector"
  -introtext: "<p>Automated underwriting is one of the most recent applications of machine learning in insurance-related operations.</p>\r\n"
  -content: """
    \r\n
    <p>Machine learning-powered underwriting enables insurers to mitigate risk with greater certainty.</p>\r\n
    <p><img src="/images/ML_in_Insurance.jpeg" alt="ML_in_Insurance.jpeg" /></p>\r\n
    <p class="text-muted">Insurance providers perennially face several likely business risks, an obvious one being the possibility of having to pay all their policyholders once their cover matures. To counter such risks, they hire risk assessors, also known as underwriters. Such professionals study several factors during the evaluation of risks of an insurance policy. The insurance premium amount, duration, coverage and other factors are dependent on the analysis of the underwriter. As you know, even the brightest of humans may make errors in judgment occasionally, translating into losses for the insurance provider. Machine learning can outperform any human underwriter via a big data-driven approach.</p>\r\n
    <p><img src="/images/Examples_of_ML.png" alt="Examples_of_ML.png" width="701" height="399" /></p>\r\n
    <p>The employment of machine learning by businesses to optimize finance-related operations is not a new concept. In fact,&nbsp;there are already several benefits&nbsp;of using machine learning in insurance-related operations. The technology can optimize insurance-based underwriting in the following ways:</p>\r\n
    <h2>By Improving Underwriting Risk Management</h2>\r\n
    <p>Insurance providers walk a tightrope when it comes to underwriting policies. While a formulated policy must be fairly priced and lucrative enough for audiences to invest in, it should also ensure that the insurer doesn't end up in the red after several claimants have received their payments after policy maturation. The involvement of machine learning in insurance-based underwriting allows businesses to scan through billions of data points related to the prospective target customers of a specific policy. Machine learning models then analyze the data available on the internet about such customers to find specific risk factors. After identifying such factors, automated AI underwriting applications can formulate insurance policies with guidelines that can minimize the risks while providing just enough for customers to gravitate towards purchasing them. For example, if future customers of a certain age in a certain region are prone to death due to a specific health condition, the AI-based application will discover it by running through digitized medical records of millions of people in that age group in that region. Once the fact about the condition is apparent, insurance companies can underwrite terms to manage their own risks and losses while making the policy still useful for future buyers.&nbsp;</p>\r\n
    <p>AI also enables insurers to have more robust contingency funds and measures that will come in handy during high-risk periods down the line.</p>\r\n
    <h2>By Automating Quote Generation</h2>\r\n
    <p>Insurance-based underwriting is expected to become automated in the future. Once the risk factors and percentages are uncovered by a dedicated machine learning model, quotes can be generated autonomously. Furthermore, the risk factors may keep evolving. Simultaneously, the model will keep modifying the terms of a policy to generate a quote that will be similar to previous years. In this way, premium payment rates of a given insurance provider are standardized, and prospects of bias are eliminated. By using automated underwriting through machine learning in insurance-related functions, insurers leave nothing to chance and estimates.&nbsp;</p>\r\n
    <p>The risk aspect for an insurance provider can never be zero due to an obvious reason—a data-driven insurance underwriting model uses predictive analysis and isn’t a clairvoyant to predict a crisis around the corner. That caveat aside, the use of machine learning in insurance-based underwriting greatly increases the certainty factor for insurers in the long run.</p>
    """
  -user: Proxies\__CG__\App\Entity\User {#1092 …}
  -createdAt: DateTime @1655999880 {#1145
    date: 2022-06-23 15:58:00.0 UTC (+00:00)
  }
  -updatedAt: DateTime @1655999953 {#1150
    date: 2022-06-23 15:59:13.0 UTC (+00:00)
  }
  -deletedAt: null
  -category: App\Entity\Category {#445 …}
  -status: "published"
  -imageCard: Proxies\__CG__\App\Entity\File {#1184 …}
  -ImageHeader: Proxies\__CG__\App\Entity\File {#1184 …}
  -featured: false
  -mainView: false
  -clicks: 3980
  -comments: Doctrine\ORM\PersistentCollection {#1125 …}
  -reviewed_at: DateTime @1655999880 {#1148
    date: 2022-06-23 15:58:00.0 UTC (+00:00)
  }
  -metakey: "Machine Learning is Transforming Underwriting In The Insurance Sector"
  -metadesc: "Automated underwriting is one of the most recent applications of machine learning in insurance-related operations."
  -robots: null
  -publishedAt: DateTime @1655999880 {#1147
    date: 2022-06-23 15:58:00.0 UTC (+00:00)
  }
  -canonical: null
  -superTag: null
}

AppController :: renderFooter (token = 0e88ea)

Key Value
_controller 
"App\Controller\AppController::renderFooter"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"167407"

CookieController :: renderCookie (token = 2b2fbf)

Key Value
_controller 
"App\Controller\CookieController::renderCookie"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"9e8941"