We know that technological advances are no longer only in the hands of a couple of companies, but within the reach of all people. However, You may not know that you can make cybersecurity improve with Artificial Intelligence (GenAI). Well, at Codster we are here to help you understand how you can achieve it with a couple of simple but important instructions.
This would position you above other companies in Mexico or Latin America that are little or not prepared to improve their cybersecurity with Artificial Intelligence. In fact, with data from CISCO, we know that the norm in the region is that this type of technology is not used.
To stay ahead in the cyber space, cybersecurity teams should explore how GenAI can be an important tool in protecting their systems and networks, anticipating any type of threat that could jeopardize the integrity of their information.
Today, predictive models can be used to visualize possible attacks against the company, prepare defenses and take into account its vulnerabilities. However, this may be somewhat slow or without new and relevant information. GenAI would facilitate this exercise, allowing vulnerabilities to be proactively identified and eliminated before malicious actors can exploit them, creating a zero-day vulnerability factory for their own benefit.
Although, in theory since 2022, OpenAI has limited the use of its generative artificial intelligence to avoid creating malicious content or obtaining harmful information, your security team can create malware to prevent possible scenarios to correct any flaws or vulnerabilities found to improve its cyber resilience .
Threat intelligence company researchers HYAS They used this method to synthesize functionality on the fly, modifying the running benign code in real time to bypass automated security checks, thus recognizing and being prepared for potential attacks.
Although the idea of creating malware to attack your own systems may seem radical, it is not that extravagant. In fact, it is a common practice known as Red Teaming.
In Red Teaming, internal security teams simulate cyber attacks to expose vulnerabilities and evaluate the organization's defenses. For example, a computer could simulate an external hacking attempt by seeking unauthorized access to sensitive data or disrupting normal operations.
Now, how can you make cybersecurity better with Artificial Intelligence (GenAI)? By combining the capabilities of self-learning, exploration, and knowledge accumulation over long periods, similar tools could emulate the behavior of sophisticated malware in a controlled test environment.
Using GPT-4 or other advanced language models, you could devise complex multi-stage attacks, such as Advanced Persistent Threats (APTs), and simulate them in real time.
In this way, security teams could obtain valuable information about possible vulnerabilities in their systems and understand how to counter them effectively. This advanced, proactive and automated approach to cybersecurity would be a formidable defense, strengthening an organization's resilience against cyber threats.
This type of practice could strengthen your resilience, allowing you to respond quickly and effectively to attacks without significant disruptions to your operations. The result could be a more secure future for your organization.
The increase in systemic resilience derived from these types of exercises could result in significant benefits when attackers target your infrastructure and as cybersecurity improves with Artificial Intelligence.
Ways in which your cybersecurity improves with Artificial Intelligence (GenAI)
If you still have doubts about how you could make your team improve the safety of your work environment, it is best to collaborate with a consulting firm that help you solve your doubts to start working with GenAI, as well as with the development of the generative artificial intelligence tools you need.
The cybersecurity space benefits from GenAI tools such as ChatGPT and other advanced language models (LLM). These tools leverage the knowledge of tools trained on extensive cyber threat intelligence data sets, including vulnerabilities, attack patterns, and signals of potential intrusions.
Additionally, companies can improve their cybersecurity with Artificial Intelligence by employing tools to perform extensive log and traffic data analysis in cybersecurity situations, accelerating and automating incident response.
Integrating GenAI into cybersecurity strategies brings a range of benefits, such as improvements in threat detection, predictive analytics, and automated response.
The “Cost of a Data Breach 2023” report from IBM highlights that organizations that extensively employed artificial intelligence and automation achieved savings of nearly $1.8 million in data breach costs and reduced breach identification and containment time by more than 100 days on average.
Now, we'll explore eight ways your cybersecurity can improve with Artificial Intelligence (GenAI) and strengthen your vulnerabilities:
- Adaptive threat detection: GenAI continually evolves its understanding of threats by analyzing historical data, identifying patterns, and adapting to new attack tactics and strategies.
- Predictive analysis: By analyzing extensive data, GenAI identifies past patterns to predict future threats and enables proactive implementation of security measures.
- Malware generation and analysis: It facilitates safe environments to analyze the behavior of malware, training professionals in detecting and responding to threats.
- Improved biometrics: GenAI generates realistic biometric data to improve the accuracy of facial recognition systems, fingerprints, among others.
- Automatic generation of security patches: Streamlines the identification and creation of patches for vulnerabilities, without putting production systems at risk.
- Anomaly detection: Quickly identify irregular activities in network traffic, logs, and user behavior to prevent threats.
- Phishing detection and prevention: Analyzes email content to recognize and prevent phishing attempts and potential data breaches.
- Threat simulation and training: Allows the simulation of scenarios to train cybersecurity teams in identifying and responding to real threats.
In this way, making cybersecurity better with GenAI's generative artificial intelligence offers transformative potential by analyzing data, simulating threats, and adapting to changing attack strategies. Although interest in its use is high, widespread deployment is still limited, evidencing a wide margin to take advantage of its benefits.
Knowing how to make your cybersecurity improve with Artificial Intelligence (GenAI) is key for you. If you have even more questions, do not hesitate to request a consultation with Codster to learn more about the benefits and what Artificial Intelligence is for. Well, many of them depend on the specifications and needs that your own firm has. But, don't worry, we will surely find the perfect and ideal solution for you.
