What is

APPLICATION SECURITY?

Modern application security needs to address a range of multifaceted threats, including proliferating bot attacks. Here’s what a good strategy looks like—and why it’s critical.

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Application security is the practice of finding, fixing and preventing security issues within applications. By doing this companies can protect their business and their customers from cybercriminals. Application security safeguards application owners and users from cybercriminals looking to exploit software vulnerabilities, breach security protections, and use information mined from data leaks to obtain login credentials. Once criminals have access to business or user accounts, they may steal data, take over accounts, or use stolen user information to create new accounts. All applications are vulnerable to cyberattack and these attacks continue to become more prevalent and sophisticated.

What types of application security solutions are out there?

Websites have primarily used two methods of protecting their networks from cyberattacks.
Human-Application Security-Content delivery networks@2x
Content delivery networks

Content delivery networks (CDNs) protect business and user data by distributing web application content across a network of servers in various geographic locations. This offers users two benefits. By distributing traffic, users can access website information stored on servers that are closer to them, which speeds up user experience. And as a security measure, caching application data on remote networks protects businesses’ network servers from potential distributed denial-of-service (DDoS) attacks, which employ botnets to overwhelm websites with fake traffic. These botnets can either cripple a website and make it inaccessible to legitimate users, or they can be used as a smokescreen as cybercriminals mount a parallel attack to breach security. 

Human-Application Security-Web app firewalls@2x
Web application firewalls

Web application firewalls (WAFs) create a barrier between an application and the internet, blocking traffic from suspicious IP addresses. WAFs can be configured to allow only pre-approved traffic, block known malicious actors, restrict IPs from specific countries, or block IP addresses that are sending an unusual number of requests.

In the past, the two technologies above were effective at protecting applications from attack, but fraudsters and cybercriminals now use networks of sophisticated bots that can outsmart traditional application security defenses. According to ESG, 86 percent of security professionals now believe that most bots can bypass simple security measures like WAFs. And these bots, explains Ann Johnson, Corporate Vice President of Security, Compliance, & Identity (SCI) Business Development at Microsoft and a member of HUMAN’s Board of Directors, are an ever-growing percentage of total web traffic.

“I think people think that there is a low percentage of network traffic that is actually bot,” Johnson says. “But it is actually closer to 40 percent.”

The evolving nature of security threats suggests a need for newer and more sophisticated application security tools.

What happens if you don’t have robust application security?

Sophisticated bot attacks account for nearly half of internet traffic. Here’s how they operate.

The Open Web Application Security Project (OWASP) framework lists 21 known bot outcomes from cyberattacks. These are three common botnet strategies.

Does HUMAN have an application security solution?

Sophisticated cyberattacks demand a sophisticated response. That’s where we come in.

The continuously evolving nature of cyberattacks requires a modern defense strategy that can sniff out bots and fraudulent accounts before they impact your business and customers. HUMAN’s BotGuard for Applications uses a multilayered detection methodology that isn’t reliant on any signal technique. In short, BotGuard uses AI technologies to defend against AI threats. These tools enable BotGuard to accurately detect and stop sophisticated bots and ensure that only real humans interact with your applications. The process works like this:
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Collect

BotGuard for Applications uses the Human Verification Engine to sift through 2,500 client-side signals that indicate real human activity. This information is then sent to HUMAN for processing. 

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Decide

HUMAN employs a real-time decision engine that uses machine learning to identify whether users display human or non-human behaviors. HUMAN’s tools verify 15 trillion interactions per week, and it can harness that scale of visibility—as well as a decade of historical data—to deliver ever-improving, adaptable, and mutually reinforcing recognition precision and protection. These tools identify non-human actors with industry leading accuracy.

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Prevent

Once BotGuard’s decision engine has determined whether a user represents a threat, it deploys a real-time recommendation to block or allow the user. Application operators can also customize mitigation to automatically mitigate non-human activity.

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Report

HUMAN’s real time monitoring system updates the BotGuard dashboard within minutes, allowing application managers to identify invalid traffic and threat categories.

HUMAN’s BotGuard for Applications uses technical evidence, machine learning, and continuous adaptation to improve its detection tools. HUMAN also employs a proactive approach to detection. Its Satori Threat Intelligence and Research Team investigates and takes down multiple large-scale attack networks each year. The team can then use information gathered during these investigations to reinforce BotGuard’s detection techniques. This ensures that clients are equipped with an application security system that can not only keep up with, but stay ahead of the ever-evolving ingenuity of cybercriminals.  

Human-Application Security-Satori Threat Intel Team

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