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Automation: The Key to More Effective Cyberrisk Management

cybersecurity automation

In a perfect cybersecurity world, people would only have access to the data they need, and only when they need it. However, IT budgets are tighter than ever and, in most organizations, manually updating new and existing employees’ access levels on a consistent basis is a time-consuming productivity-killer. As a result, there’s a good chance an employee may accidentally have access to a group of files that they should not. As one can imagine, security that is loosely managed across the enterprise is a breeding ground for malware.

The velocity of cyberattacks has accelerated as well. It is easier than ever for cyber criminals to access exploits, malware, phishing tools, and other resources to automate the creation and execution of an attack. Digitization, Internet connectivity, and smart device growth are creating more vectors for attackers to gain an entry point into an organization’s network, and this trend only gets worse as you think about the Internet of Things, which could have concrete impact on machines from production equipment to planes and cars.

One way IT departments can help mitigate the cyberrisk of employee access overload is through automating security policies and processes such as the monitoring, detection and remediation of threats. In the past, organizations have spent a lot on prevention technologies: disparate point solutions such as anti-virus software and firewalls that try to act before an attack occurs. Prevention is important but not 100% effective. And how could technology used for prevention stop a cyber-attacker that has already infiltrated the network? If prevention were the end-all, be-all in security tools, we wouldn’t be reading about cyberattacks on a daily basis.

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As more companies realize this, a spending shift to detection and response is being driven.

To help determine cyberrisk—or better yet, safely manage your cyberrisk—you must look at the threat (which is ever growing due to constant hackers and advanced techniques), vulnerability (how open your data is to cyberattacks), and consequence (the amount of time threats are doing damage in your network). Or, more simply put: risk = threat X vulnerability X consequence time.

To manage your cyberrisk, you need to optimize at least one of the aforementioned variables. Unfortunately, threat is the one variable that cannot be optimized because hackers will never stop attacking and are creating malware at an escalating rate. In fact, a G DATA study showed that 6 million new malware strains were found by researchers in 2014—almost double the number of new strains found the previous year. Instead, what organizations can focus on is investing in the right solutions that target the remaining two variables: vulnerability and consequence.

  • Step One: Organizations must make sure they know their environments well (such as endpoints, network, and access points) and know where their sensitive information lives. It’s always a good idea to rank systems and information in terms of criticality, value and importance to the business.
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  • Step Two: Organizations must gain increased visibility into potential threat activity occurring in the environment. As is often said, there are two types of companies: those that have been attacked and those that have been attacked and don’t know it. A way to increase visibility is through the deployment of behavior-based technology on the network, like sandboxes. Organizations are now shifting their focus to the endpoint. Today’s attacks require endpoint and network visibility, including correlation of this activity. The challenge with visibility is that it can be overwhelming.
  • Step Three: There needs to be some process or mechanism to determine which alerts matter and which ones should be prioritized. In order to gain increased visibility into environments and detect today’s threats, organizations clearly need to deploy more contemporary detection solutions and advanced threat analytics.
  • Step Four: Invest more in response and shift the mindset to continuous response. If attacks are continuous and we are continuously monitoring, then the next logical step is to respond continuously. Historically, response has been episodic or event-driven (“I’ve been attacked – Do something!
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    ”). This mindset needs to shift to continuous response (“I’m getting attacked all the time – Do something!”).  A key ingredient to enable continuous incident response will be the increasing use of automation. Why? Automation is required to keep up with attackers that are leveraging automation to attack. It’s also required to address a key challenge that large and small companies face: the significant cybersecurity skills shortage.

Advanced threat analytics should be important to any organization that takes its security posture seriously. The majority of threats being faced today are getting more advanced by the minute. If an organization relies solely on legacy, signature-based detection, their defenses will be easily breached. It’s important for teams to understand that the cyber defense and response capabilities of an organization must constantly evolve to match the evolving threat landscape. This includes both automatic detection and remediation. Automatic remediation dramatically reduces the time that malware can exist on a network and also reduces the amount of time spent investigating the issue at hand. With automated security defenses, IT teams are given a forensic view of every packet that moves through the network and allows teams to spot anomalies and threats before they have a chance to wreak havoc. And since these tools are automated and work at machine speed, they can deal with a high volume of threats without necessitating human intervention, taking some of the load off overburdened security teams, and ultimately freeing them to act decisively and quickly, before network damage is done.

Navigating Technology Risks

One of the key questions being asked by audit committees and boards of directors of organizations around the globe is whether their emerging technology risks are being properly identified and managed. To that end, the Global Internal Audit Common Body of Knowledge (CBOK) released “Navigating Technology’s Top 10 Risks,” which identifies the top technology risks and ways that organizations can learn about and address these risks.

Here are the top five out of 10 risks ranked by the study:

1.      Cybersecurity

One of the biggest cybersecurity risks faced by companies is the possibility of theft of confidential data by external perpetrators, and the study found this is the most discussed IT topic among executives, internal auditors, audit committees and the board. One of the biggest cybersecurity risks faced by companies is the possibility of theft of confidential data by external perpetrators.

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More than 70% of survey respondents consider the risk of a data breach to be extensive or moderate, while 82% of IT specialists consider this risk to be even higher.

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2.     Information Security

With the recent spotlight on data breaches, the current focus is a layered defense of critical information rather than a single layer of protection.

A strong information security program encompasses:

● Robust risk assessment process

● Effective governance and compliance procedures

● Documented and communicated information security policies and standards

● Effective security awareness training program

● Efficient access control procedures

● Tested disaster recovery, business continuity and incident response programs

● Operational asset management, network management, patch management and change management processes

● Tight physical security

3.     IT Systems Development Projects

While organizations need to update their technology systems, success rates are low. The study found that the success of systems development projects was 16.2% for overall success, 52.7% for challenged projects and 31.

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1% for impaired or canceled projects.

Examples of project objectives not achieved include missed deadlines, cost overruns, efficiencies not delivered as expected, flawed software that was not tested before implementation, reduced integration from the initial plan and less functionality than was identified in the business case when the project was approved.

4.     IT Governance

In many organizations, management questions the amount of money spent on IT and increasingly monitors IT costs. This added emphasis is also due to the widening gap of what IT thinks the business needs and what the business thinks IT can deliver.

A good IT governance program must have these elements:

● Clear alignment to business

● Measurable value delivery to business

● Accountable controls of resources, risk, performance and cost

IT Governance Activity

5. Outsourced IT Services

Because of the increased focus on IT costs, some key IT services have been outsourced. According to the study, this can expose an organization to risks that may remain undiscovered until a failure occurs. An average of six out of 10 internal auditors surveyed said they expect an increase in audits of outsourced IT services over the coming year, according to CBOK, which is administered through the Institute of Internal Auditors. The largest increase is expected in Sub-Saharan Africa and the smallest in Europe.

Insider Fraud: How to Identify and Prevent Internal Threats

Organizations of all sizes, across all industries have become data breach victims as cyber crooks become more sophisticated in identifying vulnerable targets.

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Attackers can compromise an organization within scant minutes in 60% of breaches, reports the latest Verizon Data Breach Investigations Report. Still, insiders persist as one of the biggest fraud perpetrators, costing organizations globally about $3.7 trillion annually in 2014, estimates the Association of Certified Fraud Examiners. The puzzling question is this: With the advances in technology, why aren’t organizations preventing these incidents and why aren’t the offenders being nabbed earlier?

The answer to the insider fraud dilemma lies in a lag in robust risk-management technologies that help organizations identify and prevent insider fraud, especially in such industries as banking. With this type of breach, tracking behavior becomes a key component of managing risks and threats proactively. While basic data tracking isn’t new, what is fresh is grasping the internal behavior of employees in a real time, comprehensive view across multiple platforms and applications.

Unfortunately, disparate legacy systems that don’t share information easily create larger problems by limiting an organization’s ability to monitor across all systems. And siloed information makes it impossible to find “normal” employee behavior that should serve as a benchmark for day-to-day activity.

For example, banks must be on the lookout continually for employees who exhibit illegal behavior when, say, handling a dormant bank account, who are manipulating customer information or who collude with colleagues.

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By benchmarking regular employee activity and leveraging link analysis to spot relationships across accounts or employees, banks also can monitor for and spot instances of employee negligence that can offer cyber crooks easy access to customer data.

Sophisticated surveillance technology exists that lets organizations monitor and detect suspicious behavior in real time, then analyze and develop an evidence trail. Organizations can use the following activities to help identify and prevent an internal threat before it escalates and triggers substantial monetary and brand damage.

  • Monitor all user activity: It is critical to establish what is normal and what is abnormal. Each organization has different user personas with unique activities considered “normal.” By defining organizational benchmarks for normal versus abnormal activity, risk managers can identify inconsistencies in employee behavioral patterns.
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    Visibility into user activity across applications and networks enables them to highlight incidents that warrant deeper analysis and determine threats.

  • Track behavior in real time: Rather than analyze data retroactively, organizations should adopt a solution which can alert from the moment data is captured from the corporate applications and networks. Long-lead systems or those heavily reliant on log-file data don’t allow for real-time tracking and often result in discovering a breach after the fact.

Enable searchability: Organizations can deploy a user-friendly monitoring system with Google-like searchability features with highly specific behavioral criteria. Moving beyond clunky legacy systems to technology that is intuitive eliminates user error and enables more advanced rule-based monitoring.

  • Record screen activity: Gaining visual evidence of illegal activity while it occurs is critical for use during an investigation. Technology that records screen-by-screen activity at the application level creates the comprehensive data trail needed for courtroom presentation.

A combination of these activities can assist organizations in identifying anomalies in employee behavior, track digital activities and contrast them with an employee’s normal routine or that of a peer group’s pattern. If incongruities appear, advanced risk-management technology develops a data trail and a case strong enough to stand up in court. Leveraging these measures, insider fraud can be discovered at an earlier stage to prevent customer data breaches and malicious attacks.

POS System and Critical Infrastructure Attacks, Hactivism Pose Top Cyber Threats

Maintaining enterprise security only gets more difficult, as additional means of cyberattack and increasingly sophisticated techniques are added to attackers’ arsenal.

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“Our personal and professional attack surfaces have never been greater, and they are only expected to grow as organizations and individuals continue to increase their reliance on the digitally connected world for a variety of tasks,” explained researchers from network infrastructure and security services company Verisign. “Security practitioners must not only protect their enterprise assets, but also guard against threats to their supply chain and other business ecosystems.

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These threats, coupled with the cyber threat landscape’s continuous evolution in terms or actors, tactics and motivations, have created a situation where organizations must now move toward an intelligence-driven, holistic security approach to keep pace with the rapid changes in attackers’ tactics, techniques and procedures (TTPs).”

According to Verisign’s “2015 Cyber Threats and Trends: What You Need to Know to Protect Your Data,” the top cyberrisks from 2014 and the first half of 2015 came from:

  • attacks on point-of-sale (POS) systems
  • banking trojans and downloaders
  • various forms of hacktivism
  • critical infrastructure attacks
  • open-source software exploitation
  • vulnerability research “crowdsourcing”

Check out the infographic below for some of the report’s key insights into the top cyberthreats and the biggest vulnerabilities for enterprise security:

verasign cyber threats trends 2015