A 3-day, hands-on programme for the security teams, AI engineers, and red-teamers shipping in Indian BFSI and enterprise. Mornings are concept-led. Afternoons are labs. Evenings are cohort dinners — that's where the real curriculum lives.
We curate cohorts so peer conversations land. If you ship security decisions for a real org, this room is for you.
Translate AI risk into board-level posture. Build the agent governance framework before regulators write yours.
Architect LLM systems that survive contact with adversarial prompts, shadow agents, and exfiltration attempts.
Hunt for non-human identities. Detect agent drift, prompt injection chains, and tool-call anomalies in production traces.
Map NIST AI RMF, DPDP, and sectoral guidance (RBI, SEBI) to a single audit trail. Stop compiling evidence; start owning it.
Each track runs as a hands-on lab with a Blackbead.ai engineer. You leave with code, runbooks, and a deployment-ready threat model.
Deploy intelligent agents to continuously monitor, assess, and harden existing infrastructure against AI-powered threats. No rip-and-replace.
The security layer for agent architecture: identity management, least-privilege enforcement, behavioural anomaly detection, NIST AI RMF audit trails.
Architect LLM solutions end-to-end: model selection, fine-tuning, prompt frameworks, guardrails, and evaluation pipelines that hold up in production.
Mornings are concept-led. Afternoons are labs. Evenings are dinners with cohort peers.
Global frameworks first. India-specific guidance baked into the cohort labs.
Every instructor has shipped the technique they teach into production. No theorists, no resellers.
"Most security training teaches you yesterday's playbook. This is the first programme I've seen that takes AI agents seriously as a first-class threat model — and gives you the runbook to actually defend against them."
Applications reviewed weekly. We respond within 5 working days.