SANS AI Cybersecurity Summit Spring 2027
by SANS Institute
Two days of AI security talks and workshops in Denver, preceded by six days of hands-on SANS AI security training.
About This Event
SANS AI Cybersecurity Summit Spring 2027 is a two-day security conference run by the SANS Institute at the Hilton Denver City Center in Denver, Colorado, on April 27-28, 2027, with optional SANS training courses from April 21 to 26. The summit combines keynotes and technical talks on using AI for security, securing AI systems and investigating new AI-driven threats with hands-on workshops and community events. It can be attended in person or live online. The training week lists ten courses, most of them AI-specific, including GenAI and LLM application security (SEC545), offensive AI (SEC535), penetration testing AI systems (SEC536) and building security automation with Python, LLMs and MCP (SEC573). This spring edition moves the series to Denver; the fall 2026 summit ran in Arlington, Virginia, on November 2-3, 2026.
Key Dates & Deadlines
- Early-bird registration (EarlyBirdNA, $750 off 4-6 day courses)
- Hotel group rate deadline
- Refund deadline
At a Glance
- Date
- April 27–28, 2027
- Location
- Hilton Denver City Center, Colorado
- Format
- Hybrid
- Event Type
- Summit
- Status
- Upcoming
- Pricing
- Mixed (Free tier available)
- Organizer
- SANS Institute
- Added
- Nov 13, 2026
- Updated
- Nov 13, 2026
Topics & Focus Areas
Who Should Attend
- ✓CISOs and security leaders
- ✓SOC managers and analysts
- ✓Incident responders and threat intelligence analysts
- ✓Penetration testers and red teams
- ✓AI/ML engineers building LLM applications
- ✓Application security engineers
Why Attend
For a CISO or security VP, this is a cheap way to get a team trained on securing the LLM applications and agents the business is already deploying. The summit covers how attackers use AI and how to test and defend AI systems, and the training week turns that into skills, with courses on LLM application security, adversarial testing of AI systems and building automation with LLMs and MCP. A leader can send engineers to a six-day course with optional GIAC certification, attend the $525 summit, and come back with a clearer view of which AI risks to fund first.
Event Features
- ✓Summit keynotes and technical talks on AI for security, securing AI systems and emerging AI threats (April 27-28)
- ✓Hands-on summit workshops plus social and community events
- ✓SEC545: GenAI and LLM Application Security (5 days, new)
- ✓SEC535: Offensive AI - Attack Tools and Techniques (3 days) and SEC536: Adversarial AI - Penetration Testing AI Systems (3 days, new)
- ✓SEC573: AI-Powered Security Automation: Building Tools with Python, LLMs, and MCP (6 days, major updates)
- ✓SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals and SEC598: AI and Security Automation for Red, Blue, and Purple Teams (6 days each)
- ✓LDR520: Emerging Trends for Cyber Leaders: AI and Cloud (5 days)
- ✓SEC537: AI for Offensive Security (6 days)
What Makes This Unique
- ★Run by the SANS Institute, so the summit sits next to a full week of practitioner training with GIAC certification options instead of standing alone as a talk track.
- ★Most of the ten training courses listed for the week are AI-specific, including two new ones: SEC545 GenAI and LLM Application Security and SEC536 Adversarial AI.
- ★The live-online summit pass is free, so a team can send one person in person and have others follow remotely at no cost.
- ★The summit pass is $525 in person, well below vendor AI conferences, and the content is aimed at defenders and testers instead of product demos.
Industries Represented
Pricing Details
From the SANS event page (USD, excluding local taxes): summit only in person $525; summit only live online free; summit plus a course in person $5,250. Courses run $5,250 (3-day SEC535, SEC536), $8,260 (5-day SEC522, SEC545, LDR520) or $8,780 (6-day SEC504, SEC573, SEC595, SEC598, SEC537); GIAC certification attempts add $999 where available. Early-bird code EarlyBirdNA saves $750 on any 4-6 day course (excluding Beta and 300-level courses) through December 31, 2026. Hotel group rate until March 29, 2027; refund deadline April 5, 2027.
Organizer
SANS Institute
sans.orgFrequently Asked
- When is SANS AI Cybersecurity Summit Spring 2027?
- SANS AI Cybersecurity Summit Spring 2027 takes place April 27–28, 2027 in Denver, Colorado.
- Where is SANS AI Cybersecurity Summit Spring 2027 held?
- SANS AI Cybersecurity Summit Spring 2027 is held in Denver, Colorado. The event format is hybrid.
- What is the SANS AI Cybersecurity Summit Spring 2027 submission deadline?
- The next SANS AI Cybersecurity Summit Spring 2027 deadline is early-bird registration (earlybirdna, $750 off 4-6 day courses) on Dec 31, 2026. Remaining dates: Hotel group rate deadline — Mar 29, 2027; Refund deadline — Apr 5, 2027.
- How much does SANS AI Cybersecurity Summit Spring 2027 cost?
- SANS AI Cybersecurity Summit Spring 2027 is mixed, with a free tier available. From the SANS event page (USD, excluding local taxes): summit only in person $525; summit only live online free; summit plus a course in person $5,250. Courses run $5,250 (3-day SEC535, SEC536), $8,260 (5-day SEC522, SEC545, LDR520) or $8,780 (6-day SEC504, SEC573, SEC595, SEC598, SEC537); GIAC certification attempts add $999 where available. Early-bird code EarlyBirdNA saves $750 on any 4-6 day course (excluding Beta and 300-level courses) through December 31, 2026. Hotel group rate until March 29, 2027; refund deadline April 5, 2027.
- Who should attend SANS AI Cybersecurity Summit Spring 2027?
- SANS AI Cybersecurity Summit Spring 2027 is aimed at CISOs and security leaders, SOC managers and analysts, Incident responders and threat intelligence analysts, Penetration testers and red teams, AI/ML engineers building LLM applications, Application security engineers.
- What topics does SANS AI Cybersecurity Summit Spring 2027 cover?
- SANS AI Cybersecurity Summit Spring 2027 covers AI security, Securing LLM and GenAI applications, Adversarial AI and AI penetration testing, Offensive AI tools and techniques, AI-driven security automation, Machine learning for threat detection, Model Context Protocol (MCP) security tooling, AI governance for security teams.
Sources
This page was written from 3 sources, 1 on domains other than sans.org.
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