Sharelock

AI-powered Security & Identity Behavioral Analytics

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Welcome to the new age of Identity-centric Threat and Fraud detection telemetry

Sharelock disrupts the business of detecting Identity-centric anomalies based on AI-driven behavioral analysis.

Our platform collects Data from any source (e.g. application log file, sensors), learns and defines a behavioral baseline for each user, and, the ultimate goal, detects behavioral anomalies.

Sharelock operates using its own patented machine learning algorithms, clearly proving our thought leadership in this space. 

Sharelock provides its insights within two distinct domains:

  • Insider Threat and Fraud Detection use-cases, such as data exfiltration, and lateral movements, leveraging our Indicators of Behavior (IoB) algorithms.
  • Access compliance anomalies, aiming to provide recommendations to reduce the compliance gap between a ‘should be’ state described in IGA platforms vs. the ‘as is‘ one, based on actual user behaviors.
Open Architecture
Open Architecture

Insider Threat and Fraud detection

Sharelock Threat and Fraud Detection capabilities allow to spot risky behaviors, understand the risk stage, and investigate the dangerous situations at the user level. Sharelock enables a set of powerful user-centric insights for investigation purposes, such as timeline analysis, peer-analysis, and behavioral analysis.

 

Insider Threat and Fraud detection

Identity and access compliance

Sharelock access compliance allows you to measure and reduce the ‘gap’ between the ‘should be’ vs. the ‘as-is’ on access provisioning policies. In simple terms, companies use IGA platforms to define and enforce what their users should have access to, according to their duties and roles. Unfortunately, users may either obtain ‘out of policies’ access permissions or be over-provisioned. Both situations create a ‘compliance’ issue, which often proves to be the ‘early signal’ which then turns into a subsequent insider threat security incident.

Sharelock provides insights and spots incompliant users, comparing any given user with its peers, then recommending remediation actions to achieve a compliant and secure ‘access posture’.

Identity and access compliance

Discover our wealth of benefits!

01

Zero-days start

Forget about rules, the system learns and sets behavioural baselines automatically. Forget also about preparing training datasets,  Sharelock operates unsupervised. Sharelock saves at least 4-5 months of project efforts and costs compared to old-style products.

02

Massive reduction of false positives

Unlimited Identity-centric Indicators of Behaviour reduce the likelihood of false positives by over 21% compared to other ML-powered solutions.

 

03

Enrich 'Identity-less' log files

Many log files are Identity-less, frequently with only the originating IP and Mac address. Sharelock has the wisdom to enrich them, leveraging our patented Identity-enrichment ML models.

04

An open and evolving ML catalog

Sharelock ML model catalog is an evolving creature and keeps the pace with state-of-the-art ML models. Sharelock adds new ML models to the catalog, without any impact on the underlying technology and client skills.

03

Threat & compliance: 2 in 1

Sharelock uniquely enables Threat detection and Compliance Alert capabilities, out of the same platform. Sharelock provides a lot more value for money.

04

SaaS and On-prem, same engine

Sharelock offers the SaaS version as well as the on-premise deployment possibility. Same codebase, same functionalities. Sharelock migration cost between SaaS/On-prem is Zero.

 

07

A pricing model you can control

Forget about EPS, Terabytes, and other opaque pricing models.
Sharelock pricing model is based on the number of Identities, plus connected applications.
Simple metrics you can control.

08

Patented Technology

Sharelock has patented its behavioral models, proving our unprecedented thought leadership. Few vendors in this space can claim patents.

The voice of the Customer

“We live and breathe user behavioral insights. We have seen plenty of Cybersecurity vendors talking endlessly about Machine Learning and AI, but none of them could fit with our requirements of simple to run&maintain platform. When we tested Sharelock, we finally saw the simplicity we were looking for, and a clean and understandable approach to AI-powered Identity & Security Analytics”.

(CISO, Global Financial Information Provider)

The voice of the Customer

Sharelock vs. Competition

Sharelock has designed its behavioral platform with a bright design principle: innovate over existing players to maximize accuracy detection and dramatically reduce false positives.

SHARELOCK

COMPETITION

THE SHARELOCK ADVANTAGE

ML Models

"Do we need to build training dataset for your Machine Learning Models?"

SHARELOCK

UNSUPERVISED

COMPETITION

SUPERVISED

THE SHARELOCK ADVANTAGE

Sharelock does not require any labelled training dataset (e.g. log file where anomalies are tagged”). Over 4-5 months efficiency in activation costs & efforts.

 

Behavioral baseline

"How is the behavioral baseline defined?"

SHARELOCK

USER BASELINE

COMPETITION

DATASET BASELINE

THE SHARELOCK ADVANTAGE

Sharelock does not require a minimum amount of users to run the ML models efficiently. Likelihood of False Positives reduced by over 21%.

 

Identity enrichment

“How do we enrich Identity-less log records?”

SHARELOCK

Machine Learning models and Identity Integration

COMPETITION

Just Identity Integration

THE SHARELOCK ADVANTAGE

Sharelock allows enriching log records with Identity attributes even in the absence of information such as account name or other user-related attributes. Prompt detection, reduction of the Investigation efforts.

 

SaaS/On-prem

“Both options available, with feature parity?”

SHARELOCK

YES

COMPETITION

NO

THE SHARELOCK ADVANTAGE

Sharelock offers the SaaS version as well as the on-premise deployment possibility. Same codebase, same functionalities. Migration costs between SaaS/Onprem are zero.

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Our team will be pleased to help you  address any need and answer any question!