🕵️‍♂️ Cybercrime Meets AI: How to protect your businesses and yourself against AI-enabled hacking threats

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As we know AI is changing the world and making us more productive, but it is also making hackers way better at what they do. We share what’s going on in the dark side and how to protect yourself and your enterprise. Also, AI’s output can be very homogeneous and this can wreak havoc in the financial industry if everyone makes the same decisions. As always we bring you tools to make you superhuman and learning resources…

• 🕵️‍♂️ Cybercrime Meets AI: Hackers Exploit ChatGPT and DarkBERT for Cyber Chaos.

• 🔒 How to protect your businesses and yourself against AI-enabled hacking threats

• 🧰 AI Tools of the Day (Academia - Kickresume)

• 💥 AI will be at the center of future financial crises

• 📚 The Learning Corner (Blogs)

• 💪🏽 Important AI News and Trends

🕵️‍♂️ Cybercrime Meets AI: Hackers Exploit ChatGPT and DarkBERT for Cyber Chaos.

ChatGPT has gained over 100 million users for its quick and effective responses. However, it has also attracted hackers. A researcher named Johann Rehberger recently demonstrated a technique called "prompt injection" that made ChatGPT perform malicious actions, like reading emails. This highlights new cybersecurity concerns as AI becomes more integrated into products. OpenAI fixed the issue, but it's part of a broader challenge as AI technology evolves.

Additionally, the dark web has its own version of ChatGPT that is breaking havoc. DarkBERT is an AI tool that was trained on a large dataset of dark web pages, including hacker forums, scamming websites, and other criminal internet sources.  DarkBERT is an encoder model that uses the RoBERTa architecture and relies on transformers.  It has a good understanding of cybercriminals' language and can spot potential threats. On top of it all, thousands of legit stolen ChatGPT accounts are being sold in the dark web as well. In the midst of this new wave of hacking how can we protect our devices and our business? Check our next section below…

• The White House's 'AI Cyber Challenge' aims to crowdsource national security solutions. The winning systems will be able to analyze and correct vulnerable code in critical infrastructure.

🔒 How to protect your businesses and yourself against AI-enabled hacking threats

Here are a few suggestions:

• Perform regular audits and penetration testing to identify vulnerabilities before hackers exploit them. Employ/Invest in white hat hackers or security firms.

• Closely monitor network activity and logs for anomalies that could indicate an attack. Use AI-driven security analytics and threat intelligence.

• Enable multi-factor authentication across all systems, especially for remote access. Require strong passwords and rotation policies.

• Separate systems that contain sensitive data and limit access. Don't allow internet connectivity where not needed.

• Keep all systems patched and updated with the latest security fixes. Prioritize fixes for remote access and exposed services.

• Provide cybersecurity training to employees to spot social engineering and phishing attempts. Test them with simulated attacks.

• Adopt a zero-trust model that assumes breach and verifies all connections. Segment access and use encryption widely.

• Invest in explainable AI that can audit its own decisions and logic for manipulation. Research ways to detect adversarial inputs.

• Use unique complex passwords and multi-factor authentication when available. Use a password manager.

• Beware of phishing attempts via email, text, or phone. Verify legitimacy before clicking links or attachments.

• Keep software updated and run regular anti-virus and malware scans. Don't jailbreak devices.

• Be careful what information is shared online or with apps. Check privacy policies and permissions.

• Set up content filters and parental controls on home networks and devices.

• Learn how to spot fake accounts or manipulated content online. Rely on authoritative sources.

• Avoid oversharing on social media and turn off location tracking when possible.

• Back up your data regularly in case of ransomware attacks. Disconnect backups from networks.

The key is defense in depth, monitoring for new threats, and educating both employees and the public against evolving social engineering techniques leveraging AI. Ongoing vigilance and resilience are required in this arms race between hackers and security protections. Do not overshare online.

🧰 AI Tools of the Day

Kickresume's AI-powered resume CHECKER automatically reviews and fixes your entire resume.

• Elicit - Elicit uses language models to help you automate research workflows, like parts of literature review.

• genei - Summarise academic articles in seconds and save 80% on your research times.

• Explainpaper - A better way to read academic papers. Upload a paper, highlight confusing text, get an explanation.

• Galactica - A large language model for science. Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins, and more. Model API.

• Consensus - Consensus is a search engine that uses AI to find answers in scientific research.

Do you want more tools to streamline your work and life? Download them below here.

💥 AI will be at the center of future financial crises

According to SEC chair Gary Gensler, artificial intelligence will be at the center of future financial crises, creating risks that regulators are not equipped to adequately address. A key concern is that opaque, "black box" AI algorithms could trigger market crashes by all selling the same assets simultaneously, due to similarities in their design or regulation. Since the logic driving AI models is not explainable or predictable, regulators will struggle to prevent such crises.

Gensler believes current regulatory approaches are insufficient and at best may only slow down, but not prevent, rising systemic risk levels created by AI in finance. He argues major regulatory gaps are emerging that will likely grow as financial institutions increasingly adopt AI. Overall, Gensler paints a bleak picture of regulators' ability to stay ahead of the systemic risks posed by AI's growing role in finance.

📚 The Learning Corner

Blogs & Unstructured Tutorials

• Chris Olah's blog - Lots of great insight on complex topics and concepts.

• Andrei Karpathy's blog - great insights and concepts.

• Hardmaru's blog. Great explanations of concepts and example code too.

• FastML - Machine learning made easy

• Keras is a Deep Learning library for Python, that is simple, modular, and extensible.

For more get our guide below…

💪🏽 Important AI News and Trends

• Politicians go back to AI college. Stanford University just schooled Congress on AI

• Uber acquired Postmates in late 2020 for $2.65 billion. Three months later, Postmates X spun out as an independent company called Serve Robotics. Now Uber, Nvidia-backed delivery robot startup Serve Robotics to go public.

• Robots can now track and follow anything - Check the video.

• Meet NeVa - NeVA is a multi-modal vision-language model that understands text and images and generates informative responses. This demo shows NeVA’s ability to generate responses based on the image or text as input.

• Do large language models understand the world? An essay by Andrew NG

🌐 Web3 and Tech news

• Apple TV's MLS Season Pass subscriptions have doubled since Messi's arrival in the US.

• Overstock’s rebrand as Bed Bath & Beyond may go down as the best in marketing history - Stock is up 65%.

• A newly discovered material called LK-99 kicked off a frenzy to see if it really was a game-changing superconductor. The results are disappointing.

• The US just invested more than $1 billion in carbon removal as The Clean Energy Future Is Arriving Faster Than You Think.