Palo Alto Networks URL Filtering with PAN-DB vs Splunk User Behavior Analytics comparison

Palo Alto Networks URL Filtering with PAN-DB is an advanced URL filtering solution that provides a way to control web access, as well as how users interact with online content. With this solution, your organization can prevent credential phishing theft by assuming strict control over which sites users can enter their corporate credentials into. Palo Alto Networks Advanced URL Filtering with PAN-DB provides web protection by using URL database capabilities to help you automatically detect and prevent new malicious and targeted web-based threats instantly.

Palo Alto Networks URL Filtering with PAN-DB Features

Palo Alto Networks URL Filtering with PAN-DB has many valuable key features. Some of the most useful ones include:

• Inline protection: Palo Alto Networks URL Filtering with PAN-DB provides inline protection from new malicious web pages by using machine learning to detect and block new threats in milliseconds.

• Anti-evasion: Palo Alto Networks URL Filtering with PAN-DB analyzes live web content, disrupting attackers and identifying the true nature of malicious sites hiding behind evasive techniques.

• Phishing protection: By using Palo Alto Networks URL Filtering with PAN-DB, you can spot phishing pages instantly and accurately before they destroy your network.

• URL database: Palo Alto Networks URL Filtering with PAN-DB has a URL database that maintains hundreds of millions of known malicious and benign URLs categorized through a combination of static, dynamic, machine learning, and human analysis.

• Criteria matching: With this feature, you can designate multiple policy action types based on URL categories or criteria.

Palo Alto Networks URL Filtering with PAN-DB Benefits

There are many benefits to implementing Palo Alto Networks URL Filtering with PAN-DB. Some of the biggest advantages the solution offers include:

• Eliminates security silos: Palo Alto Networks URL Filtering with PAN-DB gets rid of security silos so you can attain proper security posture and keep users safe.

• Cloud native: Because Palo Alto Networks URL Filtering with PAN-DB is cloud native, it enables you to easily expand and scale capabilities when necessary.

• Minimizes operational expenditure: By reducing the need for standalone solutions, Palo Alto Networks URL Filtering with PAN-DB helps your organization decrease operational expenditures.

• Safeguards against phishing: Palo Alto Networks URL Filtering with PAN-DB enables you to stop credential phishing attempts by offering layers of prevention to protect your organization from known and brand-new phishing sites.

• Consistent security policies and capabilities: With Palo Alto Networks URL Filtering with PAN-DB, you can deploy advanced URL filtering with hardware appliances, on virtual environments, or in the cloud with the same set of policies and security consistently applied.

• Increased detection: Detect evasive and targeted attacks by detecting real web traffic and not web crawler data.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Palo Alto Networks URL Filtering with PAN-DB solution.

Consultant Michael V. says, “What I really like about PAN and what makes it a worthwhile solution is that rather than having an administrator constantly updating a list of prohibited URLs, you can do it by categories. Every one of these URLs gets meta-tagged as hate speech or antisemitic or pornography, or whatever it is, and when you set up the filter everything that's prohibited by HR policy is there. I don't have to maintain anything, it catches everything.”

PeerSpot user Darshil S., Consultant at a tech services company, mentions, “The multiple categorizations of URLs are quite helpful. For example, if a URL is a social media website, such as facebook.com, it can be classified at a certain risk level - from high to low.”

Karthikeyan S., Sr. Cloud Data Architect at Sun Cloud LLC, explains, "Palo Alto Networks URL Filtering with PAN-DB is easy to use, easy to operate, and easy to edit."

Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics – for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.