– AI platforms are becoming increasingly important in the modern workplace, but they can also be used for malicious purposes.
– Many IT leaders are looking to integrate generative AI into their operations, but they are concerned about potential data security breaches.
– Organizations must prioritize cyber hygiene and strengthen their foundational cybersecurity strategies before focusing on AI-induced threats.
– The “Zero Trust” model is an effective approach to protect against growing volumes of attacks and ensure secure access to systems.
– Managing vulnerabilities and reducing the attack surface is crucial before introducing AI, and advanced solutions can help streamline and automate vulnerability response strategies.
– Identifying and addressing the greatest risks to a business, particularly in terms of identity management, is essential.
– Making targeted investments in advanced detection technologies and outsourcing security to managed service providers can help protect networks and endpoints.
– Sustained investment, leadership-driven approach to security, and increased awareness of risks are necessary to prevent basic cybersecurity oversights.
– A holistic approach that includes talent development, process improvement, and the right security tools is crucial for effectively harnessing the power of AI without introducing greater risks.
AI platforms are fast becoming indispensable in the modern workplace. These tools, however, are also being weaponized by threat actors to create malicious software.
Recent findings from a Salesforce survey indicate that 67% of senior IT leaders are looking to integrate generative AI into their operations, yet 71% believe these tools might inadvertently open new avenues for data security breaches. And they’re right.
Each major new advancement in technology brings with it associated risks, so organizations must proceed with caution. But behind the headlines, we can also take some consolation from the fact that these aren’t necessarily new threats. The real game-changer in AI is its capacity to execute these techniques on an unparalleled scale.
Strengthening the foundations in the age of AI
Introducing AI into your business at this stage doesn’t mean a complete overhaul of current cybersecurity strategies. It requires doubling down on cyber hygiene and getting the basics right.
Most organisations have yet to master this. According to the most recent DCMS Cyber Security breaches survey, some areas of cyber hygiene, such as password policies, network firewalls, and 14-day deadlines to apply software patches, are declining amongst businesses.
Before redirecting attention and resources to tackle the nuances of AI-induced threats, it’s essential to first deal with the fundamentals in security. Think of it this way: there’s little sense in aspiring to bake a gourmet cake if you haven’t mastered the original recipe.
Adapting modern security frameworks for AI threats
As generative AI and platforms like ChatGPT are now making traditional attack methods more accessible, it’s more important than ever to harden your security fundamentals to protect against a growing volume of attacks. These include attaining full visibility, fortifying and safeguarding, remaining vigilant with monitoring, swiftly responding to threats, and constantly assessing and refining security practices.
One of the best first steps to cut the attacker’s path is through the ‘Zero Trust’ model. At its core, Zero Trust is designed to authenticate, authorise, and continuously validate users, offering a robust framework that caters to the evolving challenges of modern businesses. From enabling remote workers to securely access systems, to safeguarding hybrid cloud systems and even acting as a layer of defense against ransomware threats, it brings huge security benefits.
Zero Trust extends beyond conventional security boundaries to build on the core principle that organizations should never take identity for granted and must employ the least privilege access approach to minimize the attack surface. This principle is equally valid when dealing with generative AI by preventing sensitive data from being sent to services like ChatGPT and ensuring users access only the data that is most relevant for their roles.
Vulnerability management and AI
Organizations must also understand how to manage vulnerabilities and reduce their attack surface to ensure robust defenses are in place before AI is introduced. Most organizations now have an ever-expanding attack surface to manage and greater volumes of vulnerabilities to track. Tying together disparate data and having the contextual information to know which vulnerabilities to prioritize is mission-critical. This helps streamline and automate the team’s response strategies to address these vulnerabilities systematically.
Advanced solutions now have the ability to collate and sift through data from many security tools that most organizations have accumulated over the years. With the aid of AI, these solutions can reduce over 200,000 standard vulnerabilities, offering greater visibility into potential threats.
Identifying risks that pose the greatest threat to a business is essential to establishing clear strategies for safeguarding a company’s technical assets. Identity is particularly important, and clear roles and responsibilities must be defined across every level of the organization, from entry-level staff to board members. Remember that an employee’s role is twofold – they can act as a defense or become a vulnerability based on the organization’s wider cybersecurity strategies.
Lastly, as cybersecurity is a journey that requires continual improvement, a step-by-step approach is necessary. Once the basics are firmly in place, an organization can elevate their vulnerability management blueprint, ensuring it’s always one step ahead of would-be cyberattackers.
Making the right investments
For every security program, you must decide what to prioritize: with AI in the mix, it’s about making the most targeted investments to manage the biggest risks for your organization. Start by deploying advanced detection technologies and adhering to industry best practices to protect your network and endpoints. For smaller businesses with limited resources, outsourcing security to managed service providers (MSPs) is a smart choice. These offer a full range of security services, making high-level protection accessible to businesses of all sizes.
It’s worth noting that 80% of security breaches occur due to basic cybersecurity oversights. Such incidents often could be prevented through sustained investment, a leadership-driven approach to security, and increased awareness of risks.
Investing solely in the latest technologies is not the answer. A well-rounded strategy that includes developing talent, improving processes, and selecting the right security tools is crucial. AI can be a powerful asset in enhancing security, but its effectiveness is dependent on a strong foundation of cybersecurity essentials.
Only with this holistic approach can organizations harness the power of AI without introducing greater risks into their organization.
AI Eclipse TLDR:
AI platforms are becoming increasingly important in the modern workplace, but they are also being exploited by threat actors to create malicious software. A survey by Salesforce found that while many senior IT leaders are looking to integrate generative AI into their operations, they are also concerned about the potential for data security breaches. It is crucial for organizations to proceed with caution and address the associated risks. However, it is important to note that these threats are not necessarily new, but the scale at which AI can execute these techniques is unprecedented.
To strengthen cybersecurity in the age of AI, organizations should focus on improving their cyber hygiene and getting the basics right. According to recent surveys, many businesses have yet to master areas such as password policies, network firewalls, and timely software patching. It is essential to prioritize these fundamentals before addressing the nuances of AI-induced threats.
Adapting modern security frameworks is crucial to protect against the growing volume of attacks facilitated by generative AI and platforms like ChatGPT. One effective approach is the “Zero Trust” model, which continuously validates users and minimizes the attack surface by employing the least privilege access approach. This approach is equally relevant when dealing with generative AI, as it prevents sensitive data from being sent to AI services and ensures users only access relevant data for their roles.
Organizations must also understand how to manage vulnerabilities and reduce their attack surface before introducing AI. With the aid of AI, advanced solutions can streamline vulnerability management by collating and analyzing data from various security tools. This enables organizations to prioritize vulnerabilities and improve their response strategies.
When investing in security, organizations should prioritize targeted investments that address the biggest risks. This may involve deploying advanced detection technologies, outsourcing security to managed service providers, and investing in talent development and process improvement. It is important to remember that a holistic approach, including a strong foundation of cybersecurity essentials, is necessary to effectively harness the power of AI without introducing greater risks.