Digital Vision for Cyber Security 2: Setting the new cyber security agenda

Threat actors have launched sophisticated attacks on multiple sectors, while digitalisation has introduced fresh security challenges. As the world advances, so too must organisations’ cyber security awareness and solutions. With expert contributors from outside and within Atos, our Digital Vision for Cyber Security 2 sets out a new agenda for today’s business leaders and influencers. Apply security at all layers – Apply a defense-in-depth approach with multiple security controls.

The increasing banking, financial services and insurances sector, growing investment in cyber security and increased security threats and safety concerns has accelerated the adoption of prescriptive security across various industries. Prescriptive security is, at its heart, a fusion of technologies and processes designed to reduce the time and effort needed to detect and respond effectively to cyber security threats and incidents. A critical aspect of prescriptive security is its use of automation and artificial intelligence technologies.

• Data collected by these kinds of reports can be easily aggregated and used to create snapshots of an organisation’s operations.
• In the past, SIEMs required meticulous management at every stage of the data pipeline — data ingestion, policies, reviewing alerts, and analyzing anomalies.
• Prescriptive technology helps in identifying and reacting to threats before they occur.
• Prescriptive Security is a fusion of processes designed and technology that helps in reducing the efforts and time needed to respond and detect to cyber security incidents and threats.

In the past, the SOC was considered a heavyweight infrastructure which is only within the reach of very large or security-minded organizations. Today, with new collaboration tools and security technology, many smaller organizations are setting up virtual SOCs which do not require a dedicated facility, and can use part-time staff from security, operations and development groups. Read our comprehensive guide to the modern SOC—how SecOps is changing the SOC, deployment models, command hierarchy & next-gen tech like EDR, UEBA and SOAR.

In this chapter of the Essential Guide to SIEM, we explain how SIEM systems are built, how they go from raw event data to security insights, and how they manage event data on a huge scale. We cover both traditional SIEM platforms and modern SIEM architecture based on data lake technology. UEBA revolutionized the SIEM market back in 2013, reducing the risks resulting from the reliance of end-users on correlation rules. Later, innovations such as data lakes helped respond to cloud adoption trends by collecting logs from multiple cloud services.

Chief Technology Officer (CTO) roles and responsibilities

They can then set rules and thresholds to define what type of anomaly is considered a security incident. Increasingly, SIEMs leverage machine learning and automated behavioral profiling to automatically detect anomalies, and dynamically define rules on the data, to discover security events that require investigation. Most SIEM systems collect data by deploying collection agents on end-user devices, servers, network equipment, or other security systems like firewalls and antivirus, or via protocols syslog forwarding, SNMP, or WMI.

A common misbelief is that predictive analytics and machine learning are the same thing. If descriptive analytics tells you what has happened and predictive analytics tells you what could happen, then prescriptive analytics tells you what should be done. Events that occur in end-user devices or IT systems are commonly recorded in log files. Each operating system uses its own log files, and applications and hardware devices also generate logs. Security teams can use security logs to track users on the corporate network, identify suspicious activity and detect vulnerabilities.

Understanding Prescriptive Security

We try really hard to figure out the right level of information so that it’s helpful and not noisy. And the noise part is the problem because if every hiccup and burp on the internet gets reported on somewhere, people are going to get lost and miss the really important stuff. The part we need you to read is the part that requires action – you need to go update .

As healthcare organizations open up their APIs and networks to other organizations and individuals, they’re also left vulnerable to attacks. However, many Australian businesses have been slow to implement effective business analytics as part of their strategies and to take advantage of the data available. The Analytics Impact Index, a study of 400 high-revenue-earning international businesses, showed that Australian businesses are falling short when compared to other international businesses. The study cited a lack of sufficiently trained in-house analytics staff, risk-averse cultures, a reluctance to experiment, as well as a lack of leadership and strategy for the shortcoming. The capabilities of machine learning extend far beyond what a human can do when trying to achieve the same results.

National Institute of Technologies (NIST) Cybersecurity Framework (CSF)

Founded in 1945, ISA is a non-profit professional association that established a Global Security Alliance to work with manufacturers and critical infrastructure providers. GSA incorporates various stakeholders, including end-user companies, automation and control systems providers, IT infrastructure providers, services providers, and system integrators. The Information prescriptive security Systems Audit and Control Association updated its COBIT framework in 2019 to create a Governance System and Governance Framework. Instead of basing compliance on individual security controls, COBIT 2019 starts with stakeholders’ needs, assigns job-related governance responsibilities to each type, then maps the responsibility back to technologies.

Descriptive analytics uses two key methods, data aggregation and data mining , to discover historical data. Data aggregation is the process of collecting and organising data to create manageable data sets. These data sets are then used in the data mining phase where patterns, trends and meaning are identified and then presented in an understandable way. Essential components of a modern cyber security ecosystem that safeguards people and data while enabling digital transformation. Threat detection to understand and identify potential security misconfigurations, threats, or unexpected behaviors. It seems like this approach is a shift from the shared responsibility model for cloud.

What is prescriptive analytics?

For example, the SIEM may detect an alert for ransomware and perform containment steps automatically on affected systems, before the attacker can encrypt the data, while simultaneously creating communications or other notifications. An error message on a server can be correlated with a connection blocked on a firewall, and a wrong password attempted on an enterprise portal. Multiple data points are combined into meaningful security events, and delivered to analysts by notifications or dashboards. Next-gen SIEMs are getting better and better at learning what is a “real” security event that warrants attention. SAML is a standard that defines a framework for exchanging security information between online business partners.

Companies usually will express two primary concerns regarding the ability of their existing technologies to handle cybersecurity threats now and in the future. First, SIEM solutions don’t usually support very large workloads (i.e., big data) and struggle to handle the large numbers of alerts and contextual data required. Second, most tools that detect, investigate, and respond to threats are unintuitive.

While business analytics is a broad field, when looking at these three distinct methodologies – descriptive, predictive and prescriptive – their potential usefulness is clearly vast. When used in combination, these different methods of analysis are extremely complementary and valuable to business success and survival. AWS Well-Architected helps cloud architects build a secure, high-performing, resilient, and efficient infrastructure for their applications and workloads. We believe that having well-architected workloads greatly increases the likelihood of business success.

The system can now create a detailed picture of every component of the system so anytime something new and suspicious appears within the system, it is considered a cyber threat or attack. It’s a type of approach that predicts what can go wrong and implements various protective measures. Malicious insiders — A SIEM can use browser forensics, network data, authentication, and other data to identify insiders planning or carrying out an attack. Analyzes events and helps escalate alerts to notify security staff of immediate issues, either by email, other types of messaging, or via security dashboards. Pre-processing may happen at edge collectors, with only some of the events and event data passed to centralized storage. To ensure cybersecurity risks are properly managed throughout the Member Organizations.

Amazon CSO Steve Schmidt talks prescriptive security for AWS

Prescriptive analytics, when used effectively, provides invaluable insights in order to make the best possible, data-based decisions to optimise business performance. However, as with predictive analytics, this methodology requires large amounts of data to produce useful results, which isn’t always available. Also, machine learning algorithms, on which this analysis often relies, cannot always account for all external variables. On the flip side, the use of machine learning dramatically reduces the possibility of human error. Prepare for security events – Prepare for an incident by having incident management and investigation policy and processes that align to your organizational requirements. Run incident response simulations and use tools with automation to increase your speed for detection, investigation, and recovery.

Control Objectives for Information Technology (COBIT)

Advanced SIEMs can integrate with cloud services to obtain log data about cloud-deployed infrastructure or SaaS applications, and can easily ingest other non-standard data sources. With our all-in-one solution, organizations can monitor their own infrastructure and build out a robust vendor risk management program for a proactive approach to cybersecurity and compliance. SecurityScorecard’s security ratings platform and Atlas offering enable organizations to monitor their cybersecurity and compliance posture more efficiently. Our security ratings provide real-time visibility into cybersecurity risks, using an easy-to-read A-F scoring system. Our Atlas platform maps controls across various standards so that customers have visibility into their compliance posture. Businesses are increasingly utilising data to discover insights that can aid them in creating business strategy, making decisions and delivering better products, services and personalised online experiences.

Information Security Forum (ISF) Standard of Good Practice for Information Security (SOGP

Asia Pacific is expected to have the fastest growth in the market due to mobile workforce expansion, promoted by the increase adoption of mobile gadgets. Further, SMEs in the region are adopting prescriptive security solutions to safeguard their sensitive and important business data from, misuse of data, and cyber threats. Countries in Asia Pacific such as Japan, China, and India are widely adopting encryption technologies to protect their data that further helps in the growth of the market. Security information and Event Management platforms collect log and event data from security systems, networks and computers, and turn it into actionable security insights.

Following the current AWS recommendations in the security pillar can help you meet your business and regulatory requirements. The strategy will focus on ensuring closer collaboration on cyber security between government and industry, while giving software… Establishing sound multi-cloud governance practices can mitigate challenges and enforce security. While AWS offers a variety of cloud security tools, understanding and implementation varies by user, which can lead to dangerous outcomes. But when the AI uses various protocols and procedures to respond, there is no stress. Such an approach reduces the risk of human mistakes since the involvement of people is minimal.