Cybersecurity Trends in 2026: Shadow AI, Quantum & Deepfakes

The video provides a comprehensive and well-structured overview of cybersecurity trends for 2026, delivered by an experienced IBM expert. The content is grounded in industry reports, such as IBM’s Cost of a Data Breach and OWASP’s Top 10 for LLMs, which adds credibility. The discussion of shadow AI’s financial impact and the rise of deepfakes is compelling, though some statistics lack specific citations. The analysis of AI agents is particularly insightful, distinguishing between attacks on agents and attacks by agents, and highlighting risks like indirect prompt injection and non-human identities. The argumentation is logical and accessible, with clear examples. However, the video is largely predictive and speculative, and while the expert’s experience lends weight, some claims are not empirically verified. The advice to abandon deepfake detection in favor of training users to focus on requested actions is pragmatic but debatable. The video also includes a brief sponsorship segment for IBM training, which is clearly disclosed. Overall, the content is valuable for professionals and enthusiasts, offering a balanced view of both threats and defenses. The title accurately reflects the content, and the presentation is engaging with visual aids. The main limitation is the lack of detailed sources for some data points, which could be improved for greater rigor.

The title accurately reflects the content, which covers Shadow AI, quantum computing, and deepfakes among other trends.

8/10

The video is presented by an IBM expert (Jeff Crume) and references IBM's Cost of a Data Breach report and OWASP Top 10 for LLMs, lending credibility. However, some statistics (e.g., deepfake increase) lack specific sources, and predictions are inherently speculative.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 00:00Introduction and review of 2025 predictions
• 02:00Shadow AI impact on data breach costs
• 04:00Deepfake increase and AI-generated malware
• 06:00AI expanding attack surface and prompt injection
• 08:00Quantum computing and post-quantum cryptography
• 10:00Introduction to AI agents and attacks on agents
• 12:00Attacks by agents: phishing, malware, ransomware
• 14:00Automating the kill chain and social engineering
• 16:00Deepfake detection futility and training approach
• 18:00Regulation predictions and AI defense
• 20:00Confession about using AI for script

• Cost of a Data Breach Report — Referenced for statistics on shadow AI costs and breach impact.
• AI Security Learning — Mentioned as a resource for learning more about AI security.
• QRadar SIEM Certification — Promotional link for SOC Analyst certification, mentioned in description.

• OWASP Top 10 for LLM Applications — Supports the claim that prompt injection is a top vulnerability.
• NIST Post-Quantum Cryptography — Aligns with the need for post-quantum cryptography.

• Deepfake Detection Research — The video suggests deepfake detection is futile, but some research indicates detection methods are improving, though they may lag behind generation.