Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Building an AI-Driven Security & Healthcare Enterprise in India | Anirban Mukherji | Uttoron 2026

Our Founder & CEO Mr. Anirban Mukherji delivered an insightful session at Uttoron 2026, the Annual Business Conclave, sharing his personal and professional journey from a small team to leading a homegrown technology firm focused on identity security, privacy, and AI solutions tailored for India.

LLM Prompt Security Best Practices

An employee pastes a customer contract into ChatGPT to summarize it. Nothing gets attached, nothing crosses the network in a file, and no alert fires. That is the gap most LLM security advice does not address. Prompt security is not the same problem as prompt injection or model hardening. It is a data problem consisting of what enters a prompt, what an agent does with it, and what comes back out.

Mythos: When Al becomes the attacker, the network becomes the first line of defense.

Cyber defense in the age of Mythos Advanced AI has fundamentally shifted the security landscape, shrinking the window for vulnerability exploitation from weeks to hours. When standard patching workflows can't keep pace, your network becomes your most critical line of defense. In this video, we explore how Corelight transforms network traffic into actionable security insights to power your SOC. The best data drives the best defense. Discover how to improve your SOC outcomes by up to 300% over legacy data.

Serving the most critical missions: Cloudflare for Government achieves FedRAMP Class D (High) Certified status

We believe the Internet must be a force for good, and that it requires a foundation of trust. Nowhere is that trust more critical than in public service. Government agencies are the stewards of a nation’s most sensitive data. They protect national security, critical infrastructure, and the personal information of every citizen. Cloudflare’s mission is to help build a better Internet.

Show, Don't Tell: What Evo Continuous Offensive Security Found in a Real Enterprise SaaS

Autonomous AI attacks have definitively moved from the research demos everyone's been awed by to standard operating procedure. For anyone paying enough attention, this is not necessarily news: the Five Eyes Alliance warned everyone back in June that AI will bypass cybersecurity in months, not years, with adversary breakout times that can now be measured in seconds. Gartner itself predicted something similar, expecting the window to exploitation to be cut in half as early as next year.

What Mythos Means for Your Vulnerability Management Team

Modern exposure management has evolved beyond vulnerability scanning and alert volume into a discipline focused on measurable risk reduction. As the exposure management market matures, security leaders are adopting cyber exposure management platforms that unify signals across vulnerability, cloud, application, and attack surface tools to prioritize what truly matters.

Episode II: Attack of The Claudes

Two weeks after Hugging Face disclosed an AI-driven intrusion into part of its production infrastructure, Anthropic said it had found three incidents from its own cyber evaluations. Hugging Face traced its compromise through a data-processing pipeline, where a malicious dataset abused a remote-code dataset loader and a template-injection issue in a dataset configuration.

How AI Governance Reduces Security Risks

AI governance reduces security risk by enforcing least-privilege access, protecting the data and credentials AI systems handle and making every AI action auditable. This matters because most organizations deploy AI faster than they can govern it. Employees adopt unsanctioned tools, and autonomous AI agents are created under existing user identities. Each one adds unmonitored machine identities that expand your attack surface – the exact gap that governance closes.