Q: What are the first steps an organization should take to defend enterprise against AI-enabled attacks? A: To defend enterprise against AI-enabled attacks, start with identity-first security: enforce phishing-resistant MFA such as FIDO2/WebAuthn, use conditional access requiring managed devices, and apply least privilege with just-in-time admin and short-lived tokens. Monitor for token theft, unusual MFA enrollments, and impossible OAuth grants to reduce dwell time and blast radius. Q: How can organizations reduce the risk from vishing and remote help abuse? A: Train staff to verify callers using a known callback number, ticket ID, and shared helpdesk PIN, and script helpdesk responses so agents can refuse suspicious requests. Harden remote help tools by restricting them to approved staff, logging sessions, blocking unattended access, and using secure portals or browser isolation for password resets. Q: What cloud credential and API protections are recommended to defend enterprise against AI-enabled attacks? A: Rotate and vault secrets, replace long-lived keys with short-lived tokens or workload identity (OIDC), and constrain API keys with least-privilege scopes, IP/domain allowlists, and strict quotas. Detect and restrict device code phishing flows, log identity and control-plane activity, and alert on unusual regions, mass token creation, or sudden spikes in AI or compute usage. Q: How should organizations secure AI platforms and prevent LLMJacking? A: Set rate limits, budgets, and anomaly alerts for LLM usage, isolate AI workloads and secrets across projects and billing accounts, and use different keys for production and development. Scan prompt and tool logs for data-exfiltration patterns, block sensitive tool access unless approved, and patch AI servers and exposed admin panels quickly. Q: How quickly should teams patch internet-facing systems when a PoC exploit is public? A: Prioritize internet-facing assets and anything with a live proof-of-concept and aim to patch or mitigate within 24–48 hours. When immediate patching isn’t possible, apply virtual patching such as WAF rules, feature flags, or configuration changes and maintain an external asset map to ensure visibility. Q: What practices protect the developer supply chain from malicious packages and CI compromises? A: Pin dependencies and use lockfiles, prefer verified publishers, sign builds (SLSA/Sigstore/cosign), and fail builds on unsigned or tampered artifacts. Block risky install scripts by default in CI, scan packages for secrets and malware, use short-lived CI credentials, and require approval gates and MFA for package publishing. Q: How can detection and response be improved to defend enterprise against AI-enabled attacks? A: To defend enterprise against AI-enabled attacks, establish baselines for normal login, API, and LLM usage and correlate identity, endpoint, cloud, and developer telemetry to spot cross-system anomalies. Automate first-response actions like revoking tokens, disabling risky sessions, quarantining endpoints, and practice incident drills for vishing, device code phishing, and AI abuse. Q: What does a simple 90-day roadmap look like to defend enterprise against AI-enabled attacks? A: Days 1–30: enforce phishing-resistant MFA, block unnecessary device code flows, set LLM rate limits and alerts, and inventory internet-facing apps; Days 31–60: pin dependencies, add build signing, lock down CI secrets, deploy cloud anomaly detection, and restrict remote help tools. Days 61–90: drill vishing and AI-abuse playbooks, add just-in-time admin and automated token kill-switches, and measure mean time to detect and contain.