HOW AI WEB SCRAPING IMPROVES BACKGROUND SCREENING

A Background Screening Executive’s Dream: Risk-Free Hiring

In the professional world, we’re all well-acquainted with traditional background screening methods. Close to the point of hiring an employee, a company conducts a background check to ensure the prospect has a qualified, credible, and crime-free history. It’s a tried-and-true method.

But it’s not exactly risk-free. The point of traditional background screening technology is to mitigate risk, but drawing from static data limits its reach. Luckily, rising innovations like continuous background screening are transforming the background check process to enhance security procedures in entirely new ways.

This wave of innovation is where AI-enhanced web scrapers come in. Web scraping goes beyond traditional background screening methods that analyze data from static documents, like financial or criminal records, by allowing companies to examine digital footprints. Artificial intelligence automates the web scraping process, using Machine Learning technology to minimize errors and reduce hiring risks by expanding the screening scope.

Over 63% of data professionals agree that AI-powered scraping dramatically improves speed and results compared to traditional screening methods. Staying up to date on the latest AI web scraping trends is a great way for CIOs to stay abreast of industry changes, and with applications in social media employee monitoring and cybersecurity, AI-powered web scraping can enhance security overall.

Scraping New Heights With AI

AI-driven background screening is clearly a level up from traditional background screening—but how exactly is it better than traditional web scraping?

The difference is simple but powerful. Gaurav Sharma, one of Chetu’s background screening experts and Director of Operations, explained that traditionally, without AI, a new, unique web scraper had to be created for each website that a company wanted to scrape data from.

You can imagine, and have perhaps experienced, the drawbacks of this method. Traditional web scrapers could only understand one version of a singular website. And if the website structure changed at all, the web scraper would fail.

A single AI-enhanced web scraper, on the other hand, can both scrape data from hundreds of sources, and harness its intelligence to accommodate dynamically changing websites.

With these differences, using AI web scrapers enhances scraping flexibility and adaptability, provides access to a much wider range of data across the web, and reduces maintainability costs.

Now that we understand the benefits of AI web scraping over traditional web scraping, the next question to address is: What are some of its most impactful applications for background screening?

Monitoring Applicant and Employee Social Media Accounts

Across the corporate board, AI is generating better data analysis for social media and beyond. When integrated with web scraping methods, AI can transform social media analytics into a powerful background screening tool.

According to the Harvard Business Review, in recent years, 54% of employers have rejected applicants based on what they found on their social media profiles. While qualities like foul language, substance use, and violent behavior can be hard to evaluate through official records, social media offers a gold mine of personal, everyday data.

Traditional screening methods, however, would be incredibly inefficient at evaluating the huge digital footprint most of us leave behind. A manual screening process could evaluate one or two social media profiles, but AI-powered web scrapers can scrape data from dozens of sites in seconds, drastically cutting down screening time. Additionally, AI scrapers can provide real-time updates, flagging new social media activity as it arises over time.

Overall, AI-driven social media monitoring is one prime example of how AI web scraping can hugely expand the diversity of background checks.

The Best Way to Stop Cyber Threats: Make Sure They Never Exist

Evaluating an employee’s social media presence is one way for cybersecurity AI tools like AI web scrapers to help guarantee organizational security. But it’s not the only way.

According to WorldMetrics, internal threats compose 34% of the data breaches driving organizational security concerns, and with 53% of organizations having experienced insider attacks in the past year, monitoring employee behavior is an increasingly important component of cyber security.

Luckily, AI scrapers can help. By identifying potentially risky online behavior, AI scrapers can automate the process of preventing data breaches, intellectual property leaks, and insider threats before they happen. Take the following AI and cybersecurity case study as an example.

Microsoft integrated ML algorithms into its security operations for three measurable results. First, integrating AI reduced threat-detection time from 24 hours to less than an hour – that’s more than a 95% decrease! Second, Microsoft’s threat detection accuracy improved by 40%. Finally, AI-enhanced predictive analytics increased threat anticipation, which led to a 60% decrease in successful cyber-attacks.

When integrated with web scraping, the power of AI to fight cyberthreats with automated processes, predictive analytics, and deep learning threat detection strategies only grows.

Stay Compliant and Cut Costs

Whether you’re analyzing an employee’s social media presence or boosting your organization’s cybersecurity, compliance and cost-saving are two of the biggest concerns with background screening. In the case of AI web scrapers, these advanced tools offer plenty of advantages in both areas.

Compliance

Many company leaders attempting to leverage the power of AI web scraping face frustrating legal obstacles. Helpfully, compliance strategies can easily incorporate AI web scraping to keep you from violating regulations.

First, web scraping methods must comply with CCPA and GDPR regulations, only collect publicly available data, and make sure to avoid PII. AI scrapers can be configured to ensure strict adherence to regulatory frameworks, reducing the risk of costly legal disputes or fines. Furthermore, AI-enabled automation can reduce the manual errors that often lead to non-compliance.

Secondly, many companies erect website defense systems intended to block AI bots from accessing their sites. IP bans, internal firewalls, rate limiting, and CAPTCHAs can hinder the web scraping process. However, with advanced ML techniques, AI web scrapers can expertly bypass unsophisticated website defense systems that otherwise block access to legal public data.

Cost-Saving

In addition to compliance, AI web scrapers enhance cost-saving strategies in a few essential ways:

• Cost Effective: Because they can access multiple dynamic web pages as opposed to one static page, implementation and maintenance is much less expensive for AI web scrapers than for traditional web scrapers.

• Boosting Efficiency: By radically reducing the time needed to complete thorough background screening, AI-driven web scraping boosts efficiency to save on operational costs.

• Reducing Hiring Risk: By enhancing background screening, AI web scrapers ensure the quality of hired employees, reducing hiring risk and decreasing rehiring costs.

Overall, AI web scrapers contribute to significant cost savings by reducing legal and compliance risks, supporting better hiring decisions, protecting against PR and legal fees, and improving background screening efficiency. And of course, to stay compliant, it’s crucial that AI web scrapers avoid accessing private data, overloading target sites, and violating copyright or terms of service protections.

Revolutionize Background Screening with AI-Enhanced Web Scraping

Our work with Vital4, a background screening company, demonstrates the transformative impact of AI web scraping on the background screening process. Vital4 needed help developing their Politically Exposed Person (PEP) product, which researches data on the political network for an inputted query. We enhanced Vital4 PEP with Rosette Text (now Babel Street), a third-party AI engine, to scrape the necessary political data more efficiently.

By leveraging AI, we unlocked a host of risk management benefits for Vital4’s pre-employment background screening processes, including:

• Scraping a wider range of data

• Increasing scraping efficiency, flexibility, and accuracy

• Reducing the time and financial costs of scraping

The benefits of AI-enhanced web scraping elevate overall background screening to make businesses more secure, efficient, and future-ready. Secure these benefits for yourself by partnering with experts in artificial intelligence, background screening technology, and AI web scraper solutions.