Dynamic tabletop exercises that adapt to your team's decisions. Built for executives, security leaders, and AI teams.
Beta launches Q2 2026 • Limited early access spots
Traditional tabletop exercises haven't adapted to the speed and complexity of AI-enabled threats.
When AI systems are compromised, leadership teams realize their playbooks and response plans haven't kept pace with the threat landscape.
46% of organizations lack AI-specific incident response plans— Pacific AI 2025 Survey
Modern AI-enabled attacks complete in minutes, not days. Reading a PDF doesn't build the muscle memory needed for rapid decision-making under pressure.
AI attacks operate at thousands of requests per second—impossible for human response— Anthropic AI Security Report
Executives need to demonstrate preparedness to boards, regulators, and stakeholders. PowerPoint decks don't answer "How would we respond if this happened today?"
87% identify AI vulnerabilities as the fastest-growing cyber risk— WEF Global Cybersecurity Outlook 2026
California's TFAIA requires incident reporting within 15 days (24 hours if imminent risk). New York's RAISE Act requires 72-hour reporting. The EU AI Act mandates risk management systems by August 2026. Organizations need documented, tested protocols—not just policies on paper.
All 50 US states introduced AI legislation in 2025— State AI Laws Report 2026
Unlike static playbooks, Anvil creates adaptive scenarios that respond to your team's decisions in real-time. Each choice triggers realistic consequences, just like actual incidents.
Our AI-powered design tools make it possible to create sophisticated exercises without deep security expertise. From scenario generation to after-action reports, the platform handles the complexity so you can focus on preparing your team.
Whether you're testing executive decision-making during an AI system compromise, preparing for regulatory inquiries, or training cross-functional teams on AI risk response, Anvil provides the realism and flexibility traditional exercises can't match.
Major AI regulations are taking effect globally in 2026. Organizations need tested incident response capabilities to meet these requirements.
Key requirement: Incident reporting within 15 days (24 hours if imminent risk)
Requires frontier AI developers to publish safety frameworks and report critical incidents. Applies to models trained with >10²⁶ FLOPs.
Key requirement: Incident reporting within 72 hours
Requires comprehensive safety protocols, annual reviews, and public disclosure of AI risk management practices.
Key requirement: All 50 states introduced AI laws
Colorado, Texas, Illinois, and others have enacted AI-specific regulations with varying requirements for transparency, bias audits, and incident response.
Key requirement: Risk management & conformity assessments
High-risk AI systems must implement risk management, human oversight, and record-keeping. Penalties up to €35M or 7% of global revenue.
Key requirement: Government-industry incident collaboration
Federal government developing AI Security Incident Collaboration Playbook after inaugural tabletop exercise in January 2026.
Key requirement: AI ethics & safety monitoring
Amendments integrate AI governance with cybersecurity regime, requiring enhanced security-risk monitoring and tighter AI-safety regulation.
Organizations face a gap: 46% lack AI-specific incident response plans, yet regulators demand documented, tested capabilities within months.
Unlike static playbooks, Anvil scenarios branch based on your team's choices. Different decisions lead to different consequences.
AI tool compromise detected
Immediate shutdown → Business impact but contained
Monitor & assess → Risk of escalation
Delayed response → Regulatory investigation
Each path leads to different consequences
Every decision triggers realistic outcomes. Choose immediate containment and face business disruption. Delay response and risk regulatory penalties. The platform tracks how choices compound over time.
Modern attacks complete in minutes, not days. Scenarios include time-critical decision points that test rapid response under pressure—preparing teams for the speed of real incidents.
While scenarios adapt automatically, facilitators can inject new twists based on how the team responds. Every exercise becomes unique to your organization's decisions.
Anvil is built for teams who take AI risk seriously and need more than static documentation.
CISOs and security teams preparing for AI-specific threats and incidents
AI product leads and engineering teams building resilient AI systems
Organizations in regulated industries testing AI governance and compliance
Advisors running client tabletop exercises and preparedness assessments
Board members and C-suite who need to demonstrate preparedness
Teams preparing for regulatory requirements and audit readiness
Limited spots available for early adopters. Beta launches Q2 2026.
Be among the first to test the platform and shape its development
40% off your subscription when we launch (locked in forever)
Direct line to our team for questions, feedback, and feature requests
3 pre-built AI risk scenarios included with your beta account
Help prioritize our roadmap and influence product direction
Private Slack channel with other security and AI leaders
What we're looking for: Organizations actively managing AI risk, security consultants running client exercises, or teams in regulated industries preparing for compliance requirements.
Everything you need to know about Anvil and our beta program.
All statistics and regulatory information cited on this page are sourced from published reports, government agencies, and industry research.
Pacific AI • June 2025
"46% of organizations lack AI-specific incident response plans; only 36% of small companies have AI incident response playbooks."
Anthropic • 2025
"AI-powered attacks operate at thousands of requests per second—speeds impossible for human attackers to match."
World Economic Forum • 2026
"87% of respondents identified AI-related vulnerabilities as the fastest-growing cyber risk in 2025."
Total Assure • 2025
"AI-powered cyberattacks increased 72% year-over-year; 76% of organizations cannot match AI attack speed."
State of California • Signed Sep 2025, Effective Jan 2026
"Requires incident reporting within 15 days (24 hours if imminent risk); applies to frontier models trained with >10²⁶ FLOPs."
State of New York • Signed Dec 2025, Effective Jan 2027
"Requires comprehensive safety protocols and incident reporting within 72 hours of determining an incident occurred."
Drata • 2026
"All 50 US states introduced AI legislation in 2025, with ~100 measures enacted across states."
European Commission • Compliance deadline Aug 2, 2026
"High-risk AI systems must implement risk management, conformity assessments, and human oversight. Penalties up to €35M or 7% of global revenue."
US Cybersecurity & Infrastructure Security Agency • January 2026
"Federal government conducted inaugural AI security tabletop exercise; developing AI Security Incident Collaboration Playbook for 2026."
These sources represent independent research and government publications available as of February 2026. Links open in a new window.