data security for compliance 2

Licensed under the Creative Commons Attribution LicenseDanny Lieberman

dannyl@controlpolicy.com www.controlpolicy.com

Data security for compliance -Best practices & implementation

Why?

“I don't need data security, we outsource our IT to one of the big banks”

“We've never had a data leak incident”

“You can't estimate asset value”

“PCI DSS doesn't specify DLP”

“We can't classify assets”

“We use Scan Watch.....”

True quotes, real people.

Agenda

I.Introduction

II.Defining project objectives

III.Implementation and planning

IV.Case study

I. Introduction

Objectives for this talk

• Understand– How data security fits into current

compliance regulation.– How to use value-based metrics– Data security threat modeling– Best practices for project planning– Best practices for implementation

What the heck is data security?

• Security– Ensure we can survive & add value

• Physical, information, systems, people

• Data security– Protect data assets directly in all realms

Data Warehouse

Document Server

Session

Detection point

Decoders

Policies

Interception

Countermeasures

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Management

Provisioning

Events

Reporting

Policies

Forensics

Data security technology model

Data security countermeasures mitigate

• Internally launched attacks on data that result in data leaks, breach of integrity or data availability

– Unlike virus.– Your problem.– Not someone else.

Introduction

Compliance and data security

Data security regulation

• Data security regulation; 3 flavors:– Industry: PCI DSS 1.2

• Protect the card associations• Asset orientation

– Vendor-neutral: ISO27001,2/4• Protect the organization• Security orientation

– Government: SOX, GLBA, HIPAA, State• Protect consumer• Management orientation

PCI DSS 1.2.1

• Applicable – when a business stores payment card data.

– “...encourage and enhance cardholder data security and facilitate the broad adoption of consistent data security measures globally”

• Asset:– PAN, Name, Expiry, Mag Stripe, CVV, PIN

PCI DSS 1.2

• Grepping the standard:– Threat - 3

• Once as “software threats”

– People vulnerabilities – 0– Malicious individual - 1– Network – 40 times– Software – 45

• 12 anti-virus

– Audit - 7

Grokking

• "There isn't any software! Only different internal states of hardware”

– It's a shame programmers don't grok better."

PCI DSS 1.2

• Grokking the standard– Don't store PAN or– Render it unreadable or– Implement “compensating controls”

• For example: use sudo to track Linux logins that are not managed in a central LDAP repository.

ISO27000

• Applicable to all companies• IS27001 – ISM, comprehensive set of

security controls• ISO27002 – ISM best practices• ISO27004 – Security metrics

• Draft 12/2009.

ISO27001

• Grepping the standard:– Threat - 4

• First: employees, contractors, third-parties

– People vulnerabilities – 7– Malicious code - 3– Network – 16 times– Software – 30

• 0 anti-virus

– Audit - 9

ISO27001

• Grokking the standard– A well-constructed security taxonomy

• Wraps controls in a straight-jacket• Like PCI DSS

– Forces organizations to engage in continuous assessment

• Not continuous improvement• Like SOX

Sarbanes-Oxley

• SOX– Auditor independence– Corporate governance– Internal control assessment (404)– Enhanced financial disclosure (302)

• Public Company Accounting Oversight Board (PCAOB)

– Oversee, regulate, inspect & – Discipline accounting firms as auditors

Sarbanes-Oxley

• Applicable – US publicly traded firms• 404 – assessment of internal controls

– Top down risk assessment• Understand the flow of transactions,

including IT aspects, sufficient enough to identify points at which a misstatement could arise

• Fraud

Sarbanes-Oxley

• Grepping 404– Threat - 0 – People vulnerabilities - 0– Malicious code – 0– Network – 0– Software – 0– Audit – 1

Sarbanes-Oxley

• Grokking the law– Assess internal control and procedures ofthe issuer for financial reporting.

• SOX didn't prevent the latest crisis &• Mark-to-market was part of SOX

– But– SOX is law.

HIPAA

• Privacy Rule– Disclose PHI to patients within 30 days– Track disclosures, policies, procedures

• Paper and digital assets

• Security Rule– Digital assets– Controls

• Administrative, Technical, Physical

• US Federal Gov adopted NIST RMF– See SP 800-66 Rev. 1

HIPAA

• Applicable– Health-care providers– Health-care information networks

HIPAA

• Grepping– Threat - 1 – People vulnerabilities - 3– Malicious code – 0– Network – 0– Computerized systems – 2– Unauthorized use, access, disclosure - 3– Audit – 20

HIPAA

• Grokking– Person who maintains or transmits PHI

shall maintain reasonable safeguards:• Integrity and confidentiality• Protect against any reasonably

anticipated– Threats or hazards to the security or

integrity of the information; – Unauthorized uses or disclosures of

the information; – Ensure compliance

Interim conclusions

• PCI - data security,without risk analysis.

• SOX - risk analysis, not data security.• HIPAA - data security and risk analysis

(if you follow NIST guidelines).

Question and Answer

Where does DLP fit into compliance?

1. Invaluable tool for providing visibility and monitoring inbound/outbound transactions

2. Monitoring that provides input into the riskanalysis process required by compliance regulation like SOX and HIPAA.

3. Provable security for compliance standardslike PCI DSS 1.2 and ISO 27000

II. Defining Project Objectives

Enforce business process

• Compliance is about enforcing business process.

– PCI DSS: Get the transaction authorized without getting the data stolen

– SOX: Sufficiency of internal controls for financial reporting

– HIPAA: Disclose PHI to patients without leaks to unauthorized parties

“If the internal control system is implemented only to prevent fraud and comply with laws and regulations, then an important opportunity is missed.“

“The same internal controls can also be used to systematically improve businesses, particularly in regard to effectiveness and efficiency.”

COSO – Industry Consortium to improve internal controls

Compliance drivers and constraints

• Accountability• Risk analysis• Provable

security• Costs• Politics

Accountability

• The main charter of SOX • Non-compliant firms may be held

accountable for data breaches– PCI DSS

• Fines, Revocation of processing rights

– ISO 2700x• Not

– SOX, GLBA, HIPAA, State Privacy• Infrequent

Examples

• PCI DSS: Heartland Payment Systems– April 2008

• PCI DSS compliant

– Jan 2009 • Size of breach unknown• Malicious code in the payment systems

– December 2009• Class action suit dismissed

– Jan 2010• $60M settlement to VISA

Examples

• HIPAA: CVS Caremark– Feb 2009

• Agreed to pay $2.25 million to settle a federal investigation into allegations that it violated HIPAA privacy regulations

• Pharmacy employees threw pill bottles with patient information into the trash.

Compliance and risk analysis

• HIPAA– Federal agencies - NIST Risk analysis &

management methodology

• PCI DSS– Not specified

• SOX– Requires top down risk assessment– You can choose your own methodology

Risk analysis: Base classes

• Assets• Vulnerabilities• Threats• Countermeasures

Risk analysis: data security threat model(*)

MetricsAsset value, Threat damage to asset,Threat probability

Value at Risk=Threat Damage to Asset x Asset Value x Threat Probability

(*)PTA -Practical threat analysis risk model

Provable security

• Always, usually, kind of ....– PCI DSS

• 1/Q for Level 1 merchant• 1/Year for Level 2-4• Pushes out to acquirers, QSA

– HIPAA• Not specified in the law (believe it or not)

– SOX• Annual audit

Provable security

• Network DLP in a monitoring role• Or as a last line of defense for PAN

leakage in clear text

Costs

• SOX is expensive – ~ 1% of the US GDP– The SEC makes you do it

• PCI is expensive– “71% of companies don’t consider PCI as

strategic though 79% had experienced a breach” (Ponemon Institute – June 09)

– The golden rule

Politics

IT – data security is “very important”...Forrester

Management board – fraud/data theft can maim or destroy the company...Sarbanes-Oxley

III. Project planning and preparation

4 steps of Planning

1. Define the problem2. Set a hypothesis3. Measure pain 4. Prove your hypothesis

The Scientific Method

Typical data security implementation

• Buy technology and services• Classify assets• Data at rest• Data in motion• Fail

Why you lose controlWhy you lose control

Why companies fail at DLP

• Issues unclear– Many vendors have DLP technology

• Non-product differentiation

• Divided camps– Nobody answers all requirements

• Need a political sponsor

• Loss of momentum– No business pain– No power sponsors

Typical DLP project - valley of death

Month 1 Month 12-18Month 5

Logical &rational

Emotional & Political

IT Requirements

CapabilitiesPresentation

Compliance requirements

Evaluatealternatives

Close

Project

Meetvendors

Talk toanalysts

Losing control

Step 1 – Define the problem

• Identify key business processes.– PCI DSS: new customer provisioning– SOX: produce the 10Q at end of

quarter – HIPAA: provide PHI to patients with BPO

nBusinessProceses << nDocumentFormats

Step 2 – Set a business pain hypotheses

• Prove 2 hypotheses:– Data loss is happening now.– A cost effective solution exists that

reduces risk to acceptable levels.

H1: Data loss is happening

• What keeps you awake at night?

• What data types and volumes of data leave the network?

• Who is sending sensitive information out of the company?

• Where is the data going?

• What network protocols have the most events?

• What are the current violations of company AUP?

H2: A cost effective solution exists

• Value of information assets on PCs, servers & mobile devices?

• What is the Value at Risk?

• Are security controls supporting the information behavior you want (sensitive assets stay inside, public assets flow freely, controlled assets flow quickly)

• How much do your current security controls cost?

• How do you compare with other companies in your industry?

• How would risk change if you added, modified or dropped security controls?

Step 3 – Measure data security metrics

• Dimensions– organization, channel and content

• Typical metrics– % of employees that signed the AUP

– % Webmail traffic/all mail traffic

– % Office files by Webmail/Employees

– No. of revenue transactions

– Cost of security for operational/revenue systems– Cost of security for customer service systems

– Cost of security for FnA systems

– Value of assets in Euro

– Total value at risk of assets

Why do we need metrics?

• Recognize this?The easy part of information security (running the appliance, discovering vulnerabilities, fixing things and producing reports)

Ignores the hard stuff; quantification and prioritization of your actions based on financial value of assets and measurement of threat impact

Ignorance is never better than knowledge

Enrico Fermi

Anything can be measured

All exact science is based on approximation.

If a man tells you he knows a thing exactly, then you can be safe in inferring that you are speaking to an inexact man.

Bertrand Russell

Why bother quantifying risk?

• Why not qualitative metrics?

When was the last time a customer paid a “qualitative price” ?

Measurement methods

• Hand sampling– Small samples of employees, routers...

• The “Rule of 5”

• Expert estimates– The CFO

• Pros at asset valuation

• Test equipment

Data Warehouse

Document Server

Session

Detection point

Decoders

Policies

Interception

Countermeasures

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Management

Provisioning

Events

Reporting

Policies

Forensics

DLP Test equipment

Step 4 – Prove/Disprove hypotheses

MetricsAsset value, Threat damage to asset,Threat probability

Value at Risk=Threat Damage to Asset x Asset Value x Threat Probability

(*)PTA -Practical threat analysis risk model

IV. Project Implementation

Assumptions

• L2 content interception• Bi-directional• Policy-based

– Organization entity: IP/LDAP/AD– Channel entity: TCP/IP envelope– Content entity: recursive c/a

• Detect structured content

4 implementation layers

1. Network topology2. Interception points3. Policy4. Forensics

Layer 1 - Network topology

• We will consider 3 basic network topologies:

– IT Operations– Trusted insiders– Application services

IT Operations - PCI DSS 1.2, HIPAA

Server Land

User Land

OracleSMBAD/Open LDAP

WebMail

Clients

10.1.1.x 192.168.5.x 10.1.2.x192.168.4.x

Sensor

Management

Trusted insiders - HIPAA

User LandClients

Sensor

Management

The Internet

Facebook

LinkedIn MySpaceGmail

Yahoo!

Proxies

Blogs

competitors

Customer/partner facing services

Server Land

Web applicationservices

Oracle

DB2

SMBAD

WebMail

PHP, ASP, JSP…

Clients

Sensor

10.1.1.x 192.168.5.x 10.1.2.x192.168.4.x

Middle tier

Management

Web server

Third-party

Layer 2 – Interception points

Layer 2 – Interception guidelines

• Intercept inside network for internal data leakage

• Intercept at perimeter for outbound or inbound data security violations

• Network taps are preferable to using switch mirror ports

– Better performance– Can aggregate

Layer 3 – Policy, object view

• Policy := ChannelRules + OrganizationalRules + ContentRules

• For example:– PCI_DSSPolicy = ContentRules

• ContentRules = Detect tuples:– {PAN, name}– {PAN, CVV}– {PAN, SSN, name}– {PAN, name,phoneNumber}

Layer 3 – Policy, crime view

• Means– Multiple

accounts

• Opportunity– Multiple

channels

• Intent– Jérôme Kerviel– Albert Gonzales

Policy development

• Use your system as test equipment– Write a fingerprint– Wrap it with a rule– Alert, drop or block– Create a policy– Update sensor

• Business process use cases– Not content classification

Detect structured content

• Detect PII, PHI– Think about SQL queries…– Credit card identification algorithm– PII (personally identifiable information)– Custom structures

• e.g. system billing records…

Use case – PCI DSS

• PII and PublicWebSiteServers • MarketingDataShare and PaymentFTP• LDAP and PII and WindowsServers and

Size > 5MB

Use case - HIPAA

• DBA and “SELECT id_number FROM patient_accountmaster”and NOT “WHERE”

• PHI and telnet

Layer 4 - Forensics

• Must be able to retrieve original files and session envelope

PCI DSS Forensics

V. Case study

SOX

• Customer must perform IT security as part of the annual SOX audit

– We will see how we use threat modeling to take data we collected and prioritize the implementation

Problem definition – SOX IT compliance

• Risk management– Monitored and managed?

• Policies and procedures– Adequate? – Up to date?– Understood

• Controls– Implemented and effective?

• Performance– Compliance met?– Issues with third party relationships?

Project objective 1- Coherence

• Impossible to take right decision when intelligence is in silos

– FBI investigates

– CIA analyzes

– No one bothered to discuss impact of Saudis learning to fly but not how to land planes.

Project objective 2 - Sustainability

• Senior executives must lead:

– Recycle controls and policies

– Don't throw out previous work

– Abstain from NIH

Measurement

• Face to face interviews with 10 – 20 employees

• Collect data using network DLP appliance

• Valuate assets with CFO, CTO, IPR and CIO inputs

• Run threat model and iterate with CFO, IPR, CTO and CIO

Key Business processes

• End of quarter reporting• Contractors in Far East that have

access to company IP• Software deployment process

Metrics

• Two week sample period– No. notebooks lost/stolen - 1/month– No. employees who signed AUP - 0– Web mail traffic vs. Exchange traffic –

35% of all traffic was Web mail.– No. of new project IP documents

< 10 off authorized channel.– Oracle apps downtime -

0 during 7 years

SOX Threat model

• See the Practical Threat Analysis model

Conclusions

• Data security is a powerful tool for compliance when used properly

• Assure and improve business processes not classify and discover data

• Risk analysis is central to success• 4 step planning process• 5 layer implementation

Questions?