Generative AI tools like ChatGPT and GitHub CoPilot have immense potential to transform the business landscape, similar to the internet, smartphones, and cloud computing. However, the rapid progress of AI technology has also increased the risks of cybercrime. Therefore, it is essential for organizations to reassess their risk management strategies and develop defensive and offensive measures to prevent cyberattacks.

Here are three key strategies that IT and security executives should consider when evaluating their cybersecurity posture in the age of AI.

<h2>1. Fight AI with AI</h2>

AI has the potential to enhance cybersecurity by improving the skills of defense teams and augmenting their abilities, as well as assisting entry-level analysts with routine duties and increasing the coding and scripting capabilities of security engineers.

<h2>2. Safeguard Your Email</h2>

Most cyberattacks start with fraudulent emails that use phishing and social engineering tactics to harvest credentials and gain access to organizations. Advances in AI are making these attacks more sophisticated and integrating AI-powered chatbots into social engineering toolkits will make them even more widespread.

<h2>3. Defend the Data</h2>

Organizations should move beyond traditional perimeter defenses and focus on securing data and controlling access. This can be achieved through a zero-trust architecture with a SASE solution and phishing-resistant MFA.

Internet-facing applications and APIs are vulnerable to various attacks, including those carried out by bots or other AI-driven attacks. Proper protections like encryption, WAF, input validation, and rate-limiting can help mitigate these risks.

Companies must also ensure users do not misuse or leak company data when using AI tools.

Protecting your company in a ChatGPT World

DevOps methodologies were created to develop applications and services faster to meet user demands. However, earlier DevOps processes prioritized agility over security, leading to security flaws in applications.

DevOps teams often prioritize fast delivery over quality, but software quality, especially in terms of security, is crucial. Delaying security checks until the end of the software lifecycle can lead to significant delays and difficulties in resolving vulnerabilities. Using a DevSecOps framework and the right tools can help identify and remediate vulnerabilities early on and reduce software rollout delays.

Failing to use effective tools and training can lead to misidentified vulnerabilities and discouraged teams. Investing in DevOps security practices can benefit organizations in both technical and non-technical ways.

It's never too late to integrate necessary DevOps security checks into existing workflows and deliver better and safer code at the speed of business.

Why do DevOps practices fail in security?

So how do you spot fake accounts? In general, fake accounts have been recently created, with only a few friends or followers. They will sometimes send odd-sounding messages that include suspicious links, or there may be spelling errors in their account names, URLs, or messages.

Be vigilant when you’re online, and don’t share personal information or images when you accept new friend or follower requests. Never give money to someone who asks for it online, and leave any site that looks suspicious.

If you’re concerned that scammers might steal your identity, adjust your privacy settings so your profile isn’t public, and think carefully about any information you share in your profile updates. For example, personal information like your kids’ or pets’ names could be used to create a fake digital account under your name.

To look for hackers who may have stolen your digital identity, do a regular online search for your name and see what comes up. With a reverse image search, you can also upload a photo and see where that image is being used online.

Security

Protecting your company in a ChatGPT World

Why do DevOps practices fail in security?

How to Protect Yourself Against Digital Impersonation

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