Improving Threat Detection and Accelerating Incident Response

Do you struggle to determine which security alerts to follow up on?

Improving Threat Detection and Accelerating Incident Response

Do you struggle to determine which security alerts to follow up on?

It takes 99 days on average for a breach to be detected

Per the Mandiant M-Trends 2017 Report threats are present on average 99 days before being detected.
While an improvement over previous years  — 229 days in 2014; 205 days in 2015; 146 in 2016 — nearly 3 months is still too long.
Reduce detection time and increase overall security with SecureAuth.

Do you struggle with...

  • Too many alerts flooding security operations center making it difficult to determine which ones require immediate attention

  • Not enough resources strongly protected, passwords alone simply do not stop attackers

  • Merging logs from varying multi-factor authentication systems, often creating just more data to sift through

  • Multi-factor authentication logs lacking high-fidelity data and failure context




SecureAuth provides high-fidelity data that helps cut through the noise and focus on threats that matter

Providing context around why some authentications fail is key to focusing in on potential threats. Unique high-fidelity data from SecureAuth can be correlated with other security data (network, endpoint, user behavior analytics, etc.) to improve detection and accelerate incident response.

Sample of Data From SecureAuth

  • Geographic-Based Data – where are access requests coming from?
  • Device Recognition – Have we seen and know this device?
  • Malformed Credentials – Is an attacker using created credentials?
  • Good/Bad IP Address – Are requests coming from known good orbad IPs?
  • Infrastructure Used – Is a request coming from an anonymity network, compromised system, attackers own?
  • Category of Threat – Has access request IP been involved with Cyber Espionage, Hacktivism, Cyber Crime, etc. in the past?
  • Phone Number Data – What carrier network is authenticating phone number associated with? Has the phone number been recently ported? What class of phone is the number associated with (landline, VoIP, mobile, etc.)?
  • Behavioral Biometrics – Are the typing sequences, timing, and mouse movements consistent with the user template on file?


Do More With Data

No other vendor on the market can provide all the contextual data around every access request that SecureAuth can. The contextual data provide context beyond why the authentication failed and is the key to:

  • Saving Time – the contextual and high fidelity data only provided by SecureAuth helps InfoSec teams focus on the most dangerous threats across all threat/security data
  • Speeding Detection – quickly determine if an attacker has already infiltrated your defenses and perimeter
  • Minimizing a Breach Impact – If an attacker does get through, SecureAuth data shows incident response teams where to look and focuses efforts for fast recovery


See how SecureAuth can help you get the most out of your data.



Find Out Why Our Customers Love Us

"SecureAuth is used in the front end for various SiteMinder protected applications. Its provided us with the ability to use one-time passcodes, making it exceptionally more efficient for our users to get to applications since they can do it from their work or home devices without connecting to the VPN." 

– Security Engineer, Large Enterprise Healthcare Company