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INSIDER THREAT DETECTION RECOMMENDATIONS.

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(1)

INSIDER

THREAT DETECTION

(2)

According to the second annual SANS survey on the security of the

financial services sector, the number one threat companies are concerned

about doesn’t relate to nation-states, organised criminal gangs or ‘APTs’.

Rather the main worry revolves around insider threats –

but what exactly are insider threat indicators and what can be

done around insider threat detection and response?

Insiders, Moles

& Compromises

(3)

A NEW OLD PROBLEM

The discussion around insider threat detection has increased recently in the financial sector and in other areas as well. Part of this may be attributed to the spotlight Edward Snowden shone on how much damage an employee can cause to an organisation - even one as secretive as the NSA.

But insider threats are nothing new. During the height of the cold war, many spies defected to opposing sides, taking with them national secrets and expertise right from under the noses of their spy bosses. As a result, many counter techniques were developed and deployed to keep an eye on insiders with valuable knowledge or skills to prevent

(4)

WHAT ARE INDICATORS OF

AN INSIDER THREAT?

When it comes to trading state secrets, insider threat detection is relatively

straightforward. But in today’s environments, the definitions start to blur somewhat. We can define an insider as an individual with legitimate access within the

corporate perimeter - be it physical or virtual. This would include permanent & temporary employees, 3rd party contractors as well as 3rd party support companies and outsourced service providers.

Typically, a threat is defined as something or someone exploiting a vulnerability in a target. In the case of insider threat detection, this can be reframed as someone abusing their trust.

Therefore, we can summarize the insider threat as someone who misuses

the legitimate access granted to them for the purposes of self-interest that could potentially harm the organization.

(5)

A QUESTION OF INTENT

Unfortunately, whenever humans are involved,

no case is so straightforward

...particularly where the malicious behaviour emanates from within the circle of trust. Differentiating malicious insider behaviour from user error, or even legitimate

activity can be a challenge.

For example, a user is seen to download a number of files onto their personal device. It could be they are about to tender their resignation and want to take some information with them to their next job. Alternatively, it could be a hard-working and loyal employee wanting to catch up with some work over the weekend. Or worse still, it could be that the users account has been compromised and is being under the control of an attacker masquerading as an insider.

(6)

Types of

Insiders

With this in mind, we can break down

insiders into three broad categories:

Non-malicious insider

Malicious insider

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Non-malicious Insider

Non-malicious insiders are those users that

perform actions, which have no ill intent, but can

nevertheless cause harm to an organisation.

Such actions could include user error, such as

running commands against a production environment

believing it is development or losing a company

laptop. It can also cover users who are trying to fulfill

their job by using non-approved tools. Shadow

IT users fall into this scope, where users procure

or use a cloud application such as a file-sharing

app to increase productivity, but inadvertently

expose the company to threats.

(8)

Malicious Insider

Malicious users are aware of their actions and the negative

implications on the organisation, yet still pursue that course of action.

This grouping includes a broad set of users.

Users which are leaving the organisation may harvest information

they believe would be of use to them in future jobs. While they are often

aware their actions are in violation of company policy, actions are

often justified with a sense of entitlement.

This category also includes users that are disgruntled for one reason

or another and seek to vent by causing as much disruption or damage to

company assets. Activists or employees who feel whistleblower processes

are insufficient will also react in a similar manner.

At the highest level of this category, employees are engaged in corporate

espionage. Providing intellectual property or other sensitive information to

competitors, criminal gangs or nation-state sponsored actors.

(9)

Compromised Insider

The final oft-overlooked category is that of

compromised insiders. Typically this is where

credentials have been guessed or captured

as part of a targeted attack. Although the actor

behind the account is not an employee -

the use of legitimate credentials would show

up as if it were an employee.

(10)

These factors combined can be represented in the following

matrix where intent is measured against harm.

The Insider Risk Matrix

INTENT

Malicious

Non-Malicious

Negligible

Severe

(11)

For example, a company may deem that the risk of shadow IT, i.e. users procuring their

own SaaS applications within which they could upload sensitive company data that could

be accessed by non-authorised persons, or the SaaS provider could be breached.

In this case, the intent would be non-malicious in that the user was trying to perform

their job, yet the consequences could be significant.

INTENT

Malicious

Non-Malicious

Shadow IT

Negligible

Severe

HARM

(12)

Other insider threat indicators could be plotted in the same way to visualise which

threats are more severe overall by how far they are positioned up and to the right.

From a risk perspective, this alone won’t tell the full story as we are still missing

the likelihood. The likelihood can be represented by the size of the bubble on the

chart as depicted.

INTENT

Malicious

Non-Malicious

Negligible

Severe

HARM

Shadow IT

Espionage

Disgruntled Employee

User Error

(Account lockout)

User Error

(Clicking on Spearphising)

(13)

The size of the bubbles (likelihood) help visualise that whereas espionage

can have the biggest impact and is undertaken with the most malicious intent,

the likelihood of it occurring is potentially less than that of a disgruntled

employee or even shadow IT proliferating within the enterprise.

User error encompasses many activities – all of which are non-malicious in

nature, however the harm caused could range from negligible such as an account

lockout through to severe by allowing an attacker a foothold inside the network

by clicking on a phishing link.

Shadow IT

(14)

DETECTING INSIDER THREATS

Perimeter and preventative controls are largely ineffective in insider threat detection

and response, as by their very nature these are threats from within.

As a result, different techniques should be deployed to address each type of specific

threat based upon the insider threat indicators. Like many security controls, the concept

of defense in depth can be applied whereby a collection of procedural, user and technical

controls can be applied to detect suspicious insider activity, as depicted in the following

controls pyramid.

Policies Exec Support

User Awareness & Education Whistleblowing & Reporting Channels

Oulbound Traffic Analysis Login patterns Threat Intelligence Eastwest Traflic Analysis Heuristics Algorithms Endpoin Activily Analytics Access Deviation from Past or Peer Group File Access Patterns

Senitment Analysis Social Media Tracking Machine Learning

Procedural & User Controls

Technical Controls

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PROCEDURAL & USER CONTROLS

Procedural and user controls are important to get management support and ensure policies implemented are acceptable from a legal as well as cultural perspective. Privacy is a discussion topic that comes up frequently and having transparency in how a company uses data it collects about its employees is required in retaining trust. It also provides a framework whereby aggrieved employees can escalate issues without the need to resorting to conducting harmful acts against the company.

Finally, it also raises awareness so that employees can potentially detect and alert suspicious activity.

(16)

TECHNICAL CONTROLS

The technical controls are an area which has seen a lot of development in recent years. This primarily focuses on analytical techniques to identify suspicious user activity. Primarily these will baseline user activity against its own past actions in addition to base lining against peer activity to identify outliers. The baselines can be set against logins (times / locations), file or system access, network traffic or even endpoint activity amongst others.

Threat intelligence can also be a valuable asset in understanding whether outbound traffic is communicating with known command and control or other suspicious transfers.

In addition to these techniques, traditional technologies can also be utilized as insider threat detection tools that help identify suspicious activity that may point towards a rogue insider.

Endpoint or network DLP (data loss prevention) tools can monitor where excessive files are being exfiltrated out of the organisation. SIEM rules can also be tuned to alert on certain events that are indicative of malicious insider activity.

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EMERGING TECHNIQUES

Alongside threat intelligence, a number of newer approaches are being

developed which can directly or indirectly assist in finding insiders. Social media channels play an ever-increasing role in both legitimate and not so legitimate communications. Having the ability to monitor these channels, particularly where enhanced by specific threat intelligence, greatly increases chances of isolating activity on these typically out-of-band channels.

Sentiment analysis is another insider threat detection tool in the arsenal that is

garnering more interest. It seeks to identify where an employee may be disgruntled or activist-tendencies which are contrary to the business values.

(18)

RESPONSE

One of the challenges with any form of detection technology is having adequate skills and resources to investigate and respond to alerts. For this reason, some technologies and businesses are moving to more of a reporting framework for insider threat detection as opposed to raising alerts.

With reports, a broader picture is painted around a user and their activity, thus allowing investigations to be conducted based on richer context versus merely a one-off alert.

Such mechanisms could include a risk-score against each user based on a number of factors such as grade, access to information, length of service, recent appraisal and so on.

Whichever method is adopted, it will still require manual effort to investigate and validate any suspicions of wrongful behaviour.

(19)

BATTLE OF ATTRITION

While many new techniques have been developed and are continually being developed for insider threat detection and response – dealing with humans, particularly trusted employees, requires a different strategy and approach than dealing with malware.

Whereas any suspicious email or file can be relatively easily quarantined or blocked until proven otherwise – employees cannot be suspended or fired based on a couple of indicators or mere suspicion. Also, bear in mind that a large portion of suspicious activity can take place outside the realm of IT systems. This means that companies will need to work with HR and legal departments in advance to determine the best strategy to investigate suspicious activity and how to interact with suspected employees.

It becomes a matter of balancing risk – a company may be able to recover a lot easier from an ex-employee taking a copy of the customer database than from an unfair dismissal lawsuit. In the financial sector especially, the stakes are high all around.

(20)

AlienVault Unified Security Management

(USM) delivers essential Insider Threat

Detection and Management capabilities:

Behavioral Monitoring

Network Intrusion Detection System (NIDS)

Network flow analysis

Network protocol analysis & packet capture

Privilege Escalation Detection

Host Intrusion Detection System (HIDS)

File Integrity Monitoring (FIM)

Detect unauthorized user access attempts

Event Correlation

Security Information and Event Management (SIEM)

Detect communications with malicious hosts

(21)

Next Steps: Play, share, enjoy!

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• Learn more about AlienVault USM

• Watch our 3-minute overview video

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• Join the Open Threat Exchange

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