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Tools Challenged by TLS Decryption?

Eliminate blind spots from your network – your Zero Trust Architecture demands it.

TLS as a Potential Threat Vector

TLS encryption is rising as enterprises face more stringent security mandates, need to ensure optimal SEO rankings, deploy more workloads to the cloud and make wider use of software-as-a-service (SaaS) applications. In fact, over 90 percent of internet traffic around the globe is now encrypted.[1]

Unfortunately, encryption isn’t limited to well-meaning parties. Consider that over 2.8 million cyber-attacks in 2018 were hidden in encrypted traffic.[2] Cybercriminals use encryption to conceal malware, hide command-and-control traffic and cloak the exfiltration of stolen data.

Given the amount of encrypted traffic, including with the latest TLS 1.3 cryptographic protocol, the threat vector it now poses and the importance of traffic inspection for a Zero Trust Posture, you need a way to efficiently decrypt SSL traffic, share it with tools and then re-encrypt it.

What is TLS Decryption?

To protect vital data, businesses and other organizations implement Transport Layer Security (TLS), commonly referred to as the superseded Secure Socket Layer (SSL), to encrypt data as it is exchanged over IP networks. TLS creates a secure channel between the server and the end user's computer or other devices as they exchange information over the internet and different browsers.

TLS is an industry standard based on a system of trusted rules and certificates issued by certificate authorities and recognized by servers. TLS decryption was replaced by the TLS standard in 2015. In 2018, TLS 1.3 was standardized, which is a policy that mandates the use of Perfect Forward Secrecy for maximum security. Up to 40 percent of large enterprises have already instituted this latest incarnation.[3]

While protecting data, encryption also blinds network security and application monitoring tools. TLS decryption traffic is crucial for these tools. However, it is extremely computationally intensive and can introduce network latency.

The best architecture minimizes the decryption required to inspect all relevant and active traffic while offering legal and privacy controls. The centralized approach to TLS decrypting offered by Gigamon — decrypt once and feed all tools — provides such an architecture.

 

Decrypt Once and Scale Your Security Stack

TLS Decryption is critical to securing today’s enterprise networks due to the significant growth in applications and services using encrypted traffic. Malware increasingly uses TLS sessions to hide, confident that security tools will neither inspect nor block its traffic. When that happens, TLS sessions can become a liability, inadvertently camouflaging malicious traffic. In other words, the very technology that makes the Internet secure can become a significant threat vector.

Enabling SSL decryption uses the root certificate on client machines, acting as Certificate Authority for SSL requests. This process makes it possible for  an SSL decryption to decrypt, perform a detailed inspection, and then re-encrypt SSL traffic before sending it off to its destination. This helps ensure that only authorized SSL traffic is entering the network, and that malware hidden in TLS sessions is exposed and dealt with during SSL decryption.

GigaSMART Decryption

GigaSMART® TLS Decryption is a licensed application that enables information security, NetOps and applications teams to obtain complete visibility into TLS traffic regardless of protocol or application, so that they can monitor application performance, analyze usage patterns and secure their networks against data breaches and threats using encrypted communications.  Gigamon supports both inline/man-in-the middle and passive/out-of-band decryption of TLS, meeting the diverse needs of your organization. Gigamon supports the latest TLS 1.3.

  • TLS detection on any port or application
  • 10 Mb to 100Gb interface support
  • Decrypt once, share with any tools as many times as you need
  • Strong crypto support including Diffie-Hellman Ephemeral, Elliptic Curves, Poly1305/ChaCha20
  • Power controls over certificate validation, extending Certificate Revocation Lists and Online Certificate Status Protocol (OCSP)
  • Integration with the Venafi Trust Protection Platform™ to centralize key management and validation
  • Meet privacy and compliance requirements: included support for URL categorization and FIPS 140-2 Level 2 certification

Take advantage of our new bundled GigaSMART apps and stay secure!

Benefits of TLS Decryption on Different Architectures

Firewalls and web security gateways decrypt TLS traffic but often cannot deliver that decrypted traffic to other monitoring and security tools. Likewise, load balancers are good at terminating TLS traffic and load balancing to servers but lack the ability to distribute this traffic to multiple inline security tools prior to re-encryption. Lastly, these solutions lack the traffic selection controls to forward non-encrypted traffic at line rate and often send all traffic to the decryption engine, creating performance challenges. Only with Visibility and Analytics Fabric can you get true visibility on different architectures.

capacity GigaSMART® SSL Decryption Firewall Load Balancer Standalone Decryptors
Enhances existing security tools by centralizing and offloading SSL decryption and re-encryption including TLS 1.3. Y/N Y/N Y/N Y/N
Exposes hidden threats, data exfiltration and malware. Y/N Y/N Y/N Y/N
Supports flexible arrangements of inline security tools with automated resiliency against failures. Y/N Y/N Y/N Y/N
Respects data-privacy compliance with policy-based selective decryption. Y/N Y/N Y/N Y/N
Supports service chaining multiple traffic intelligence applications (e.g., packet slicing, masking, de-duplication, Adaptive Session Filtering) Y/N Y/N Y/N Y/N

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Learn more about TLS decryption and connect with other Gigamon users to ask questions, share use cases and deployment examples.
 

GigaSMART Features

GigaSMART® offers several essential traffic intelligence services required for deep observability into infrastructure blind spots.

NetFlow Generation

Delivers basic Layer 2–4 network traffic data to analysis tools.

Source Port Labeling

Provides context to packets and identifies behaviors and threats based on network location.

Adaptive Packet Filtering

Identifies patterns across any part of the network packet, including the packet payload.

De-duplication

Targets, identifies, and eliminates duplicate packets, blocking unnecessary duplication and sending optimized flows.

Packet Slicing

Truncates packets while preserving the protocol headers required for network analysis.

Advanced Load Balancing

Divides and distributes traffic among multiple tools based on a variety of data points.

Advanced Flow Slicing

Reduces bandwidth usage by slicing payloads and packets from long data flows.

Masking

Provides customizable data protection by overwriting specific packet fields with a set pattern. 

Tunneling

Alleviates blindness of business-critical traffic at remote sites, virtualized data centers, or in the public or private cloud.

Application Visualization

Provides a complete view of the applications running on your network.

Application Filtering Intelligence

Extends Layer 7 visibility to thousands of common and proprietary applications.

Application Metadata Intelligence

Provides application visibility to identify performance and quality issues, and potential security risks.

GTP Correlation

Enables mobile service providers to monitor subscriber data in GPRS Tunneling Protocol tunnels.

FlowVUE Flow Sampling

Provides subscriber IP-based flow sampling.

5G Correlation

Forwards subscriber sessions to specific tools by filtering on subscriber, user device, RAN, or network slice IDs.

SSL/TLS Decryption

Creates a secure channel between the server and the end user's computer or other devices as they exchange information.

You'll Never See Your Network the Same Again

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Related Pages

[1] Google. “HTTPS encryption on the web.” Google Transparency Report. Accessed April 25, 2019. https://transparencyreport.google.com/https/overview?hl=en.

[2] Desai, Deepen. “SSL/TLS-based Malware Attacks.” Zscaler. August 2, 2017. Accessed April 25, 2019. https://www.zscaler.com/blogs/research/ssltls-based-malware-attacks.