CyberConnect: August 2025 | Session 3 - Promising IT Careers in a Post-AI World Full Video скачать в хорошем качестве

CyberConnect: August 2025 | Session 3 - Promising IT Careers in a Post-AI World Full Video

CyberConnect: August 2025 | Session 3 - Promising IT Careers in a Post-AI World Livestreamed on August 23, 2025 Speaker Michael Bentley, Founder, Able Verity; SplunkTrust; cybersecurity consultant Thesis AI is a career reset and a salary multiplier. Pairing “AI + your core skill” (security, data, ops, dev) can command ~25–40% higher pay and helps juniors leapfrog seniors who haven’t adapted yet. High-potential roles AI Security Engineer – mid/senior path securing models, data, pipelines. AI Ethics/Compliance Officer – transparency, fairness, governance; new demand as regs/frameworks land. Prompt Engineer / AI Ops – entry-friendly; design prompts, evaluate outputs, wire into workflows. Data Engineer / API Integrator / MLOps / SecOps – “plumbers” of AI (pipelines, APIs, SIEM/SOAR automations). 6-month sprint (from zero to job-ready) Months 1–2 – Learn the language Read: NIST AI RMF, OWASP ML Security Top 10, Stanford ML systems design primers. Track news; learn key risks (prompt injection, data leakage, model theft). Months 3–4 – Hands-on + public proof Do small projects: prompt-injection tests on local models, build simple LLM apps, SIEM/SOAR helper playbooks. Publish everything on GitHub (readme, commits, demo GIF/video). Months 5–6 – Specialize + certify Pick one stack: AWS, Azure, or GCP AI track (or LLM app builder path). Earn 1 cert to validate (e.g., cloud AI practitioner/fundamentals). Keep shipping portfolio work. One-week starter plan Join 3 communities (LinkedIn AI security groups, Slack/Discord, Reddit). Set up an environment: try Ollama or small local models; learn where you hit GPU/disk limits. Build a tiny project (e.g., prompt-injection lab or SIEM helper) and document it publicly. Begin networking with builders and hiring managers in your niche. Why act now University AI programs are sparse; certs + portfolio = faster signal. Regulations are ramping → governance, audit, and ethics roles surge. Field still small → easier to stand out as “the person who knows X.” Notes from Q&A SIEM/SOAR: AI speeds Tier-1/2 triage, suggests actions, and explains artifacts; great learning aid. Favorite cyber use case: autonomous/assisted pentesting (e.g., agent-driven lateral movement testing) compresses weeks to minutes. Founders using AI: “vibe-coding” for sites/marketing; still rely on human talent for core security. Recent hire trend: roles labeled “Prompt Engineer,” often blended with auditing/governance of LLM use. Tools & communities he recommends Python; Ollama for local models; Hugging Face for open-source models/datasets. Anthropic learning resources; LinkedIn AI/security groups; Slack/Discord communities. Bottom line: Don’t chase “any cyber job.” Aim for AI-infused security/ops/data roles, prove skill with public projects, and leverage the current window where early movers get outsized returns.