Red Team Simulation for a Financial Institution
A mid-size bank with 2,000 employees conducts annual red team exercises as part of its cybersecurity maturity program. The internal red team consists of three senior security engineers who manually simulate adversary tactics across the bank's external-facing infrastructure: internet banking portals, mobile API gateways, and partner integration endpoints. Each exercise takes 4-6 weeks.
Run on Vedha · Security & Assurance
The challenge
The scope of the bank's digital surface has grown 3× in two years due to open banking APIs and fintech partnerships, but the red team headcount has not changed.
Manual red teaming is thorough but slow the team can only cover a fraction of the attack surface in each cycle.
Executive leadership wants more frequent assessments to satisfy regulatory expectations (PCI-DSS, SOC 2, DORA).
How Vedha solves it
Parallel Flow Execution
The red team launches multiple VEDHA Flows simultaneously-one targeting the internet banking portal, another targeting the mobile API gateway, and a third targeting the partner integration endpoints.
LLM Provider Flexibility
The bank's security policy prohibits sending sensitive internal data to external APIs. VEDHA's provider-agnostic architecture allows them to configure a locally-hosted Ollama instance running Llama-3, ensuring all LLM reasoning stays within the bank's private network.
Multi-Agent Reasoning Chain
For the internet banking portal, VEDHA's agents autonomously chain together reconnaissance → vulnerability discovery → exploitation attempts. The Primary Agent delegates to the Pentester Agent for SQL injection testing, the Coder Agent to write a custom CSRF proof-of-concept, and the Installer Agent to set up Metasploit modules in the sandbox container.
Self-Reflection and Recovery
When an exploitation attempt against the mobile API returns an unexpected WAF block page instead of the expected response, the Reflector Agent catches the agent's tendency to "talk about" the problem rather than act. It forces the agent to adapt trying an encoding bypass technique instead.
Observability and Audit Trail
Every command executed, every LLM prompt and response, and every tool invocation is captured via OpenTelemetry spans and Langfuse traces. The red team has a complete, tamper-evident audit trail for each simulated attack path.
The outcome
- three-person red team covers the entire external attack surface
- 0 daysthree-person red team covers the entire external attack surface
The three-person red team covers the entire external attack surface in 5 days instead of 6 weeks.
A previously unknown blind SQL injection in a legacy partner API endpoint is discovered one that manual testing had missed in two previous annual exercises.
The bank's CISO presents the automated red team results alongside the manual findings to the board, demonstrating a measurable increase in security testing coverage.
Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.
Capabilities used
Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.
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