This blog post will review Immersive content to help upskill your team around artificial intelligence (AI). This includes dedicated AI content and recommendations for AI-adjacent risks.
The rapid rise in the popularity and application of AI has been unprecedented. We are actively experiencing the dawn of a revolutionary chapter in technology and innovation, but it also feels a little like this, don't you think?
AI is everywhere. Even where you didn’t ask for it, or frankly may not want it. Its rise brings security risks that require comprehensive, strategic management.
Are you training your teams on AI security risks? Are you reviewing procedures to protect your business as the threat surface expands? You’re not alone. Let’s get into how we’re guiding customers through these challenges.
Immersive can provide knowledge, skills building, and engaging challenges for your teams to address risks from different angles.
Artificial intelligence foundations
To protect an organization, you need to know what you’re protecting from. These are some of our core recommendations:
Gain an understanding of various risks associated with implementing and integrating AI in a business context. These risks include understanding the challenges of implementation, potential issues in day-to-day AI utilization, and the broader implications of AI on operations. These labs will equip individuals with the knowledge to effectively leverage AI, while being mindful of these risks.
Learn about emerging threats, generative AI models, and prompt injection attacks. Gain a comprehensive understanding of AI's implications in cybersecurity, AI-related security risks, and gain practical experience mitigating those risks.
Build knowledge around internal risks
AI often enters businesses through productivity tools or internal chatbots, like ChatGPT, for HR or finance queries. Using internal AI apps creates risks around data access, data handling, privilege management, improper use of LLM, and compliance considerations (or consequences). Some of these considerations are also relevant for external risks with AI. Here are some collections to get your team’s gears turning around AI-adjacent considerations and internal risk:
Cloud Security
Risk and Compliance
Let’s not forget – with new tools comes new access and alerting patterns. You’ll need to ensure your Digital Forensics and Incident Response (DFIR) teams are ready for new signal analysis and identifying corresponding indicators of compromise (IoCs) with new technologies.
Digital Forensics
Upskill to protect your business from external risk
As customer-facing AI expands, so does your threat surface. The risks remain rooted in attacks humans conduct today; they’re just becoming more sophisticated with AI.
If threat actors use AI maliciously against your business, you might see advanced social engineering attacks. This could include sophisticated phishing attacks or AI-generated voice, image, or video to manipulate users into disclosing credentials. Here are a few hands-on content recommendations that will keep your team response ready:
Events and Breaches
Gain familiarity with some of the biggest cyber events and most infamous data breaches in hacking history. Buckle up for interactive labs that will get you thinking about real-world events and how AI could affect these types of scenarios.
Emerging Threats
Attackers are quick to adopt new tools and tactics, giving them a first-mover advantage. Labs in this collection will get you hands-on with the latest methods used by threat actors around the globe. These labs aren’t explicitly focused on AI threats, but since AI threats are rooted in legacy techniques, this collection will help your team prepare for the variations AI may introduce.
There are also increased risks with publicly facing AI tools that are integrated into internal databases or systems. These non-human identities have access to potentially sensitive databases, making them inherently open to prompt injection attacks in addition to legacy techniques. Here are some of our content recommendations to prepare your teams explicitly for these types of AI challenges:
Gain a deep understanding of various AI algorithms and their practical applications in cybersecurity. Engage with labs on machine learning, deep learning, specific algorithms, and complete tasks such as implementing algorithms and analyzing results. Practitioners will gain hands-on experience in applying AI techniques to enhance cybersecurity measures and mitigate cyber threats.
Test your knowledge and skills around AI security risks such as AI plugin injections, function calling, and prompt injection attacks. Complete hands-on exercises to find vulnerabilities in AI systems, beat the bot, and actively exploit vulnerable LLM implementations.
Staying ahead in a rapidly evolving tech landscape requires continuous learning and skill-building. But readiness doesn’t just stop there. You must also be well-practiced in handling new and challenging situations. Regular exercises, like prompt injection attack detection and AI-driven social engineering tabletop drills, are essential for keeping your teams prepared.
As threats evolve, Immersive will continue to deliver integrated labs and industry-leading exercising capabilities so your teams are ready to protect your business.
Share your thoughts
What skills are critical for your team to mitigate AI risks? Did you beat our AI Challenges? Are you hungry for another byte 👾? Comment below!
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