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SaaviGenAI Sponsors Anthropic CCCL AI Security Event in Bengaluru

On a Sunday evening when most people were winding down their weekend, over 70 security professionals, engineers, and AI enthusiasts chose instead to spend their time learning.

SaaviGenAI BlogBengaluru · July 12, 2026

SaaviGenAI was proud to sponsor the Anthropic CCCL (Claude Community) AI Security event in Bengaluru — an evening that reaffirmed just how strong the appetite for AI Security knowledge has become in India's tech community.

The event was organized in support of Vikram Pawar, Claude Community Ambassador and Founder CCCL.ai, with the support of Anthropic — continuing CCCL's mission of building a grounded, technically rigorous AI community in India.

Speaker Lineup

Technical depth meets real-world application.

The evening featured a strong lineup of speakers covering both the technical depth and real-world application of AI Security.

Collage of speakers presenting at the Anthropic CCCL AI Security event

Dr. Chinmay

Delivered a deep technical session on AI security concepts and emerging threat models.

Lakshmi Narasimhan

Shared insights on AI security, contributing to the technical depth of the evening.

Aranya Bandhu

Brought real-world context to the discussion, grounding the evening's themes in practical application.

Geetansh Aditya

Contributed further perspective on applying AI security concepts in practice.

Rohit Madhavan

Added practitioner perspective on securing AI-powered applications in production environments.

Nanda, Founder of SaaviGenAI

Presented on Anthropic's Constitutional AI (CAI), exploring how alignment principles are shaping the next generation of safe AI systems.

Turnout

A community that shows up.

Why This Matters

Community is core to our mission.

At SaaviGenAI, we believe the shift toward agentic AI is expanding the security threat surface faster than most organizations are prepared for. Events like this one are core to our mission — not just building SaaviSOC as a product, but actively contributing to a community that takes AI Security as seriously as AI adoption itself.

We're committed to continuing to support and participate in initiatives like CCCL that bring together practitioners, researchers, and builders to advance the state of AI Security knowledge in India.

About SaaviSOC and SaaviAIDR

What we were founded to solve.

Events like this one connect directly to the problem SaaviGenAI was founded to solve: making enterprise-grade AI security accessible, consistent, and affordable.

SaaviSOC

A Managed SOC (Security Operations Center delivered as a service) built by SaaviGenAI using open-source SIEM technology combined with an AI-driven detection and analysis layer. By replacing expensive proprietary SIEM licensing and large in-house analyst teams with an AI-augmented model, SaaviSOC reduces both CAPEX and OPEX while maintaining consistent, round-the-clock monitoring and threat detection.

SaaviAIDR

SaaviGenAI's flagship product within the SaaviSOC platform, purpose-built to monitor the AI layer itself — LLMs, autonomous agents, RAG pipelines, and the broader AI toolchain. SaaviAIDR detects and responds to AI-native threats such as unauthorized tool or API calls, data exfiltration through AI agents, prompt injection, and misuse of AI-connected systems.

Together, SaaviSOC and SaaviAIDR reflect SaaviGenAI's core thesis: as organizations adopt agentic AI, the threat surface expands from text safety (chatbot-level guardrails) to action security (AI agents taking real-world actions). Community events like the CCCL AI Security session are part of how SaaviGenAI stays close to this evolving threat landscape — and how we continue shaping SaaviSOC and SaaviAIDR around real, emerging risks rather than theoretical ones.

“This event is one of several community touchpoints SaaviGenAI plans to support in the coming months, as we continue building toward a future where AI security is proactive, accessible, and built into the foundation of how organizations adopt AI — not bolted on as an afterthought.”

SaaviGenAI Team

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