Attackers don't
break in.
They log in.
Detect insider threats and identity-based attacks in applications and cloud.
Authenticated identity attack detection for applications and cloud
Reveal Security quickly and accurately detects insider threats and identity-based attacks across any applications or cloud service. This encompasses all human and non-human identities (workforce, privileged, APIs and service accounts) to address many urgent use cases, including:
The Reveal Security Advantage
Identity Journey Analytics™
Reveal Security is the only solution in the market based on patented Identity Journey Analytics™, that uses unsupervised machine learning to learn the typical behaviors of human and machine identities in and across applications and cloud services and detects anomalies that are highly correlated to malicious activities.
This approach to detection delivers a superior level of accuracy and context, nearly eliminates false positives and enables you to respond promptly before business is impacted.
This makes us different…and better.
Accurate Detection
Accurately detects and alerts on anomalies that indicate sophisticated and novel threats.
No Rules to Update
Unsupervised machine learning approach liberates security operations teams from the time and effort of creating and maintaining rules.
Visibility Across Business Processes
Analyzes identity behavior and journeys across applications, providing a complete picture of the business flow.
No Application Knowledge Needed
Converts complex application- specific logs into clear, actionable insights, eliminating the need for deep application expertise.
Easy Setup, Immediate Results
No installation is required and measurable results are delivered in just a few short days demonstrating immediate business value.
Customer results
Deliver measurable outcomes for your business
“We saw something that with the standard tools we were not able to see. We saw the anomaly starting before creating damage.”
Nicola Sotira
Head of Poste Italiane's CERT
“I don’t know of any other solution that tracks and monitors behavior inside application systems using unsupervised ML with such high accuracy and operational efficiency.”
Yael Urman
Chief Technology Officer, Silverstein Properties
“Now I have the ability to think about risk with behavior and changes in behavior...so we can focus on what's really unusual and investigate that.”
Samir Sherif
CISO, F5
“Having a solution that we can rely on during any sort of threat detection whether it's known or unknown is huge for us.”
Mike Melo
CISO, LifeLabs
“Reveal Security’s Identity Journey Analytics approach can significantly improve identity threat situations by comparing users to like users, making it more effective and scalable than traditional UEBA.”
Jim Routh
Former CISO, MassMutual, Aetna/CVS
“You now have for the first time an opportunity to go back and rethink the insider threat space, but with a much higher likelihood of success.”
Charles Blauner
Former Global Head of InfoSec, Citi
“Reveal Security is an important solution that accurately detects user and customer behavioral anomalies in our mission-critical applications, giving us full visibility and insight into malicious activities.”
Tammy Ohana-Koll
CIO, Migdal Group Insurance & Finance
Why authenticated identity attack detection in applications and cloud? Why now?
Why now?
The rapid proliferation of identities – human, machine, workforce and privileged – and applications (SaaS, on-prem, cloud) has created new weaknesses for adversaries to exploit.
Most organizations are blind to these two major, interconnected attack vectors.
Blindspot # 1
Authenticated Identities
How do you detect insider threats and identity-based attacks post login?
You don't*
*Chances are you don’t, yet…(but you should.)
Solutions you use today don't work.
- SSO, MFA and PAM systems are frequently bypassed by attackers.
- Credentialed users are inherently trusted
Blindspot # 2
Applications and Cloud Services
How do you detect threats in applications and cloud services?
You don't*
*Chances are you don’t, yet…(but you should.)
Solutions you use today don't work.
- Rules-based detection systems like SIEM aren’t ‘smart’ enough to detect novel threats in applications.
- Next-gen SIEM and UEBA are noisy and create too many alerts for the SOC to handle.
- NDR, EDR, XDR systems are designed to detect anomalies in infrastructure, not applications.
- SaaS/cloud providers deliver the logs; the business is responsible for monitoring them.
Blindspot # 2
Applications and cloud services
Q1
How do you detect identity threats post login?
A1
You don’t*
*Chances are you don’t, yet…(but you should.)
Q2
Why not?
What is your detection strategy for authenticated identities operating in your applications and cloud services?
Read more
Reveal Security Platform
The Reveal Security platform accurately detects attacks related to human users, privileged users, and non-human identities including APIs and service accounts, from the point of access through their entire journeys in and across any application or cloud service.
Solution benefits range from highly accurate attack detection, improved visibility, to increased SOC efficiency and a strong ROI.
See the platform
Recognized for innovation
Congratulations to Reveal Security for being selected as one of this year’s SINET16 Innovators. We are proud to play a role in accelerating innovation into a global marketplace by increasing awareness of value-add companies.
Robert D. Rodriguez
Chairman of SINET
Read more
Recognized for innovation
Congratulations to Reveal Security for being selected as one of this year’s SINET16 Innovators. We are proud to play a role in accelerating innovation into a global marketplace by increasing awareness of value-add companies.