Israeli Software

Most people tend to view content protection as a recording industry or corporate espionage  issue.   We have forgotten that people who plagiarize original content are also violating content security – someone else’s security in this case.

My colleague Anthony Freed (who runs Information Security Resources) recently got an email from computer scientist and mathematician, Aaron Krowne.  Aaron got plagiarized by no less than the the NY Times. The original story that Aaron reported is here – NY Times Caught Lifting Implode-O-Meter, Other Online Pubs’ Material

With Aaron’s kind permission, I’ve decided to republish  the original article verbatim as a public service to my data security clients in the tech, bio-pharma and telecom industries – because it could happen to you also. Paraphrasing and proper citations are the kind of thing they teach you in elementary school and this is a blunt reminder to remember what Ms. Bates, your third grade teacher taught you.

We knew it was happening, but it looks like it was more extensive and systematic than we first thought:

How long did New York Times editors know of Kouwe’s story copying?

Shockingly, Kouwe wrote the below, justifying his plagiarism and failures to attribute (my bold, and comments in italics):

To be able to do something before it exists,
sense before it becomes active,
and see before it sprouts.

The Book of Balance and Harmony

(Chung-ho chi).
A medieval Taoist book

Will security vendors, large to small  (Symantec, Mcafee, nexTier, ANBsys and others..) succeed in restoring balance and harmony to their customers by relabeling their product suites as unified content security (Websense) or enterprise information protection (Verdasys)?

I don’t think so.

Unfortunately – data security is not an enterprise suite kind of problem like ERP. You don’t have harmony, synergy and control over business process; you have orthogonal attack vectors:

• Human error – cc’ing a supplier by mistake on a classified RFP document
• System vulnerabilities – Production servers with anonymous file transfer protocol (FTP) turned on
• Criminal activity – Break-ins, bribes and double agents (workers who spy for other groups or companies)
• Industrial competition/breach of non-disclosure agreements – the actuary who went to work for the competition

After 5 years of hype, most  customers have a high awareness of DLP products but fewer (especially outside the US) are buying DLP technologies  and even fewer are succeeding with their DLP implementations. This stems from the customer and vendors’ inability to answer two simple questions:

1. Who is the buyer?
2. What is her motivation to protect information?

A common question I hear from my clients, is, “Who should ‘own’ data security technology?” Is it the vice president, internal auditor, chief financial officer, CIO or CSO, our security consultants or our IT outsourcing vendor; IBM Global Services?

If there is no clear business need for information protection (the kind that a CEO can enunciate in a  sentence) – the company is not going to buy DLP technology.

The business need for data security derives directly from  the CEO and his management team. In firms with outsourced IT infrastructure, the need for data security becomes more acute as more people are involved with less allegiance to the firm.

To help qualify an organization’s business need for DLP technology, let’s examine the decision drivers, or what compels companies to buy data security products, and the decision-makers, or those who sign off on the products. Let’s look at seven industries: banking, credit card issuing, insurance, pharmaceuticals, telecommunications, health care and technology.

INDUSTRY	TYPICAL DATA SECURITY DRIVERS	DECISION – MAKERS
BANKING	A real event, such as theft of confidential customer account information by trusted insiders Privacy regulations such as the Gramm-Leach-Bliley Act, HIPAA The Sarbanes-Oxley Act, for transparency and timeliness in reporting of significant events	CSO or CIO
CREDIT CARD ISSUERS	Ongoing theft of customer transactional information by customer service reps Data breach threat to credit card numbers that haven’t yet been printed on plastic cards and issued to card holders Privacy regulations, Sarbanes-Oxley , nondisclosure agreements with business partners	The security officer or information security officer (many issuers have separate functions for physical and information security)
INSURANCE	A real event, such as theft of customer lists by competitors Fear of losing actuarial data Exposure to data leakage of credit card numbers in online systems	General counsel, VP of internal audit, CFO
PHARMACEUTICALS	Theft of chemistry, manufacturing and control information, product formulation and genome data by trusted insiders Difficulty in preserving secrecy of sensitive intellectual property prior to patent filings Sensitivity of company records during due diligence processes	General counsel, CFO, chief compliance officer
TELECOM/ONLINE BUSINESS (Telecom service providers and large online operations such as Yahoo collect and aggregate huge quantities of data, and the higher up the value chain you go with data aggregation, the more valuable and vulnerable the asset.)	Prepaid code files Pricing data Strategic marketing plans Call detail records (analogous to credit card transaction records, these are extrusions by customer service representatives to private investigators and difficult to detect) Customer credit card records	VP of internal audit, VP of technologies
HEALTH CARE	Privacy regulations/HIPAA Need to protect pricing data of drugs and supplies purchased by the health care organization	CSO, VP of internal audit
TECHNOLOGY COMPANIES	Theft of: Source code Designs, pictures and plans of proprietary equipment Strategic marketing plans	CEO, CTO

Compliance is about enforcing business process – for example, PCI DSS is about getting the transaction authorized without getting the data stolen. SOX is about sufficiency of internal controls for financial reporting and HIPAA is about being able to disclose PHI to patients without leaks to unauthorized parties.

So where and how does DLP fit into the compliance equation?

Let’s start with COSO recommendations for internal controls:

“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.”

At a meeting with one of our clients last week – the question of business case for data loss prevention came up quite strongly.   It started with the client saying that they were hearing that while vendors like Symantec and Websense were getting a lot of customers to buy their DLP products – many of these customers were failing at their attempt to implement DLP.

The detailed reasons why people fail at DLP implementations merits a separate post –  but it’s a lot like why over 50% of the content management implementation from vendors like Vignette never made it to production in the 90s – the root cause was that there was no real business case for the technology.

I want to talk about why  building a business case for Data security is critical to the success of your data security/data loss prevention/fraud prevention project.

If you run a business or business unit – you must ask yourself two questions

Is data security a major operational risk for your business?

Could be.

Unlike a computer virus – internally launched attacks on data  that result in data leaks, breach of  integrity, loss of data availability and non-compliance are your problem, not someone elses.

Unlike business processes – data risk cannot be outsourced.

Unlike balance sheet assets – companies don’t know their current financial exposure to data security threats.

The next question is should you invest in DLP technologies? Any one with only a nickel in their pocket (and in this market – that’s a lot of companies…) will say “Why should we when we don’t know the return on investment?  In order to answer your questions, you must measure your value at risk using a data security based risk assessment This is a simple, almost obvious notion – you measure risk of asbestos poisoning by checking your building insulation and you measure risk of fire damage by checking the building itself and various policies, procedures and equipment related to fire prevention.

Think about smoke detectors. You can’t put up an office building without smoke detectors (in Israel – the regulator has set a minimum density per square meter and the prices are low enough that the contractors will basically put in as many as you want). Why would you think of managing your data without the comparable data breach security monitoring equipment?

Data security based risk assessment uses DLP technology (the test equipment) and a best practices analytical risk model to measure the value of your data and your value at risk. Within a couple weeks, you should be able to get a picture of your current data security events, know your data value at risk in Euro and build a prioritized program for cost-effective data security controls in the people, process and technology planes. What you do then – is up to you.

Most companies I know in Europe and Israel are not at a sufficient level of security maturity to do this kind of thing themselves – and will need an independent consultant – one with specific domain expertise in their industry vertical,  specific data security expertise and ability to do analytical threat modeling – installing Checkpoint firewalls doesn’t count and you really want someone who is vendor neutral.

David Benyon from Op Risk and Compliance magazine reports

A new bribery and corruption legislation will be put before the UK parliament. Doing business using bribery would mean jail for a decade under the bill.

“The new Bribery Bill will make it far easier for companies and senior management to be prosecuted where bribes have been offered, paid or received. The new legislation will be even wider than the US Foreign Corrupt Practices Act, because it covers business-to-business transactions as well as business transactions with government or state-owned bodies,” says Neill Blundell, partner and head of the fraud group at law firm Eversheds”

After a discussion with a client today about privacy and data security in social networking, I started looking at physician portals and came across a fascinating post from Dr. Scott Shreve – Knowledge Prostitution enabling Aggregated Voyeurism: Is this a Business Model?

Voyeurism (voi-yûr’ ĭz‘əm) n.

1. The practice in which an individual derives pleasure from surreptitiously observing people.

2. Derives from the French verb voir (to see); literal translation is “seer” but with pejorative connotations.

The client told me that they were considering using a closed physicians’ portal to help market their products.  The business model used by closed, advertising-free, doctors portals (Sermo.com in the US or Konsylium24.pl in Poland) involves paying for market intelligence data collected from the “user generated content” in the community.   The tacit assumption is that physicians will talk freely inside a gated, advertising-free community.

Sermo.com kicks some of the revenue back to the users but the precision and recall of this market intelligence is not clear to me, considering the amount of noise in vertical social communities like Sermo and Konsylium24.pl and open social media like Facebook, Twitter and LinkedIn.

What is clear to me – is that there are data security and privacy implications when the community operator data-mines user-generated content for profit.  As a concrete example – a recent thread on Konsylium24.pl went something like this:

Doctor Number 1:

You know – Professor X is the KOL (key opinion leader) for company Y’s drug Z.  He says that drug Z is extremely effective for treating the indications of infectious disease Alpha.

Doctor Number 2:

Of course – Professor X is an acknowledged expert on infectious diseases, but he is also an expert on cash and knows how to do the math and add up the numbers…

I asked my client – “and for this kind of data, your parents sent you to medical school?

This took me back to the days of Firefly, Alexa, Hotbar and use of personal information as currency – collected with “collaborative filtering” and “automated inference” from people browsing the web.

Web 2.0 and social media seems to be going through a similar evolution as Web 1.0 – trying to monetize content by  data aggregation and analysis using “collaborative filtering” techniques.  This may have been a sexy looking business model for Venture Capitalists during the dot.com era, but in 2009 (5 years after Sermo.com launched) and a few months after their well-publicized breakup with the AMA; automated inference, knowledge prostitution and aggregated voyeurism may be  yielding to direct communications between people in B2B communities, social and professional networks.

Why peep through a window when you can just knock on the front door and ask?

In music, dissonance is  sound quality which seems “unstable”, and has an aural “need” to “resolve” to a “stable” consonance.

Leading up to the Al Quaeda attack on the US in 9/11, the FBI investigated, the CIA analyzed but no one bothered to discuss the impact of Saudis learning to fly but not land airplanes.

Dissonance in organizations is often resolved  by building separate silos of roles and responsibilities.

However, it is impossible to take wise decisions on risk management in the business when the risk intelligence is in separate silos.

We help protect customer data and intellectual property from fraud and breaches of confidentiality.  We’re always looking for interesting projects – call or text me at  +972 54 447 1114 at  any time.

A Miami man has been charged with the largest data theft ever.

Less than 5 years ago, the main modus operandi for stealing identity information was dumpster diving.  If you shredded your statements, you were safe.   However – today, it’s much more effective to steal the data directly from large retailer databases. Once you’re in – you can steal large quantities of credit card numbers and other personal information.

The interesting thing is that the perp, Albert Gonzales, was an FBI informant who worked both sides of the fence informing the Feds, notifying the bad guys and wardriving wireless networks to inject sniffing software and steal credit card numbers.

See – US Hacker charges on Yahoo.com.

For fear of becomming(sic) the next victim of identity theft, 150 million U.S. consumers don’t bank online, according to experts. But the banking industry could improve profitability by as much as $8.3 billion per year if banks build consumers’ confidence in online security, according to the TriCipher Consumer Online Banking Study, conducted by Javelin Strategy & Research for TriCipher, a Los Gatos, Calif.-based authentication solutions provider.

I don’t doubt that US banks, after having received all that tax payer money, will spend some of it on biometrics and multi-factor authentication. I predict that they will eventually abandon ship on authentication technology for home banking, when they realize that authentication technology doesn’t protect their customers on the Internet.

Multi-factor doesn’t prevent phishing. It doesn’t prevent identity theft. It doesn’t  secure online accounts from fraudulent transactions.  Take two attacks for example:

Man in the middle - an attacker sets up a fake banking web site and gets people to login, by passing the request for authentication thru to the real bank – the attacker doesn’t care if the user is authenticated with  biometrics or with out of band SMS messages – that’s great.   He still gets the user into his system in order to harvest usernames, passwords, credit cards and account numbers

Trojan horse - an attacker distributes a Trojan on a CD or from a online adult content site.  When the user logs in to the bona-fide banking site, he can use the connection to perform fraudulent transactions – like account withdrawals and funds transfers while the user is logged-in and authenticated.

Multi-factor and biometrics work well in a controlled environment like a corporate local area network but in the wild – the threats are changing too fast for multi-factor authentication solutions to provide effective data security.

What will get more people to use online banking?

• Trusting their bank.
• Banks that don’t lose customer data
• A simple but robust online login method (account, username, password) that uses offline, face to face authentication to validate identity before issuing a username/password and enforces strong, frequently updated passwords.
• Education about the dangers of phishing
• A well engineered online banking web site that doesn’t require hardware dongles and Java or ActiveX client software

Richard Stiennon is a well known and respected IT analyst – he has a blog called IT Harvest.

A recent post had to do with Trusted insider threats.Despite the length of the article, I believe that the article has a number of fundamental flaws:

• Overestimating  the value of identity and access management in mitigating trusted insider threats
• Lacking  empirical data to support the claim that “the insider threat actually outweighs the threats from cyber criminals, hackers and the malware”
• Missing a basic management issue of accountability

The role of identity and access management in preventing trusted insider security violations

Stiennon writes that IAM (Identity and access management) “is the single most valuable defense you have against the insider threat.”. I beg to disagree – and I will attempt to explain by using the model of a crime.

Like any other crime, in order to steal or disclose assets, a person needs a combination of means, opportunity, and intent

IAM provides the means for the trusted insider. Companies issue users legitimate user accounts with the rights to access certain data, applications, databases and file services. Insiders have knowledge of how the system works, the business processes, the company culture and how people interact. They know who manages the rights management systems and who grants systems permissions. With the right knowledge and social connections, means can be obtained even if they were not originally granted by design in the IAM system.

A trusted insider is an employee who is motivated by self-interest, influenced by personal preferences, social context, corporate culture and her aversion to risk taking compared with the premium gained by stealing data.   There is little in the traditional access control model to mitigate any of these threats once access has been granted.

In 100 percent of the cases we investigated in our data security practice – the client’s permissions systems were working properly, the trusted insiders involved all had been granted appropriate rights, they did not perform any elevation of privilege exploits – they took data that they had appropriate access to. Directors of new product development, system managers, sales managers – each and every one that took and/or abused data did so with appropriate permissions.

Lacking empirical data

“While often overlooked, the insider threat actually outweighs the threats from cyber criminals, hackers and the random malware that most organizations concentrate on”

Stiennon doesn’t bring any evidence for this populistic statement. As a research analyst, I would expect some independent numbers behind the statement. Au contraire Richard – according to our data security practice of over 5 years in Europe and the Middle East (and according to the Verizon Business report, the past 2 years),  insider events are a rare, high-impact event that are a complex interplay of agents ( criminals, competitors, business partners) and vulnerabilities (human and application software).

Missing a basic management issue of accountability
Stiennon talks about HR and IT. The truth is that there is a fundamental management disconnect between HR and IT (HR hires but has no accountability when an employee is involved in a security breach and gets fired) IT has some of the data and almost never shares it with HR. I suggest higher levels of HR accountability and involvement in data security together with their audit, IT and information security management colleagues.

I wrote about the great IT-management divide last year in my post on the 7th anniversary of the Al Queda attack on the US