CIACON 2026: 4 AI Security Speakers Highlight Offense vs Defense

For AI teams, the CIACON 2026 announcement is a live snapshot of model capabilities being pulled into adversarial use cases. The presence of red-teaming experts and AI-governance professionals on the same stage as incident responders indicates that AI safety and security are converging—not just in research papers, but in enterprise operational roles.

On September 12, 2026, a near-identical VMPL press release appeared on three different news aggregation domains—srilankasource.com, cambodiantimes.com, and news.webindia123.com—announcing CIACON 2026, a cybersecurity conference planned for New Delhi. The release is promotional rather than independently reported, so every detail must be read as the organizers' own framing. Its central claim, however, is analytically useful: the cybersecurity battlefield is no longer just human attacker versus human defender, but increasingly AI versus AI. This shift is not hypothetical; it is visible in the people now being pulled into security conversations.

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For AI teams, the CIACON 2026 announcement is a live snapshot of model capabilities being pulled into adversarial use cases.

According to the announcement, AI is being deployed on the defensive side to analyze security events, automate investigations, and assist incident responders, while attackers are experimenting with the same technology to scale reconnaissance and social engineering. The result, the release argues, is that the traditional distinction between attacker, defender, and technology is becoming blurred. That framing captures a real operational change: security teams can no longer assume an adversary's reconnaissance is manual or slow, and defensive workflows must be fast enough to match machine-speed probing. The article positions this as the core reason a cybersecurity conference in Delhi is no longer a room full only of penetration testers and network engineers.

The CIACON 2026 speaker lineup is used as evidence of the broadening ecosystem. Named speakers include Rakshit Tandon, described as a national cybersecurity expert; Nipun Jaswal, Senior Director and Global Capability Leader - Offensive Security at NTT DATA; Sushil Dash, Enterprise Architect and Red Teaming Expert; and Swati Anuj Arya, Vice President & Global BISO at S&P G. The agenda spans offensive security, enterprise security, cloud architecture, risk, compliance, AI governance, malware research, cyber law, and CISO leadership. Even though the release provides no registration numbers, no event date, and no independent verification, the composition itself is an industry statement: security leadership now includes risk, legal, and AI-governance roles alongside technical operators.

The inclusion of a global BISO at S&P G and a global offensive-security capability leader at NTT DATA points to a professionalization of the security function in India. Delhi-NCR is becoming part of the conversation not only because it hosts technology and IT-services firms, but because regulatory pressure, client contracts, and cross-border data obligations are pushing organizations to treat security risk as a board-level issue. The release frames a security incident as affecting customers, operations, reputation, and regulatory responsibilities—not just IT infrastructure—which aligns with how Indian enterprises are being forced to expand security ownership beyond the CISO's team.

From a market and industry standpoint, the AI-versus-AI framing has immediate implications for how security budgets and skills are allocated. If defenders use AI for event analysis and automation, there is pressure on security operations centers to adopt AI-assisted triage, reduce mean-time-to-respond, and integrate threat intelligence with governance. Simultaneously, if attackers use AI for reconnaissance and social engineering, the human layer—executives, employees, third-party vendors—becomes a scaled attack surface. Organizations will need to invest not only in AI detection tools but also in adversarial AI testing, red teaming, and policy controls around generative-AI use. The presence of red-teaming and AI-governance speakers at CIACON 2026 suggests these areas are moving from niche to mainstream.