Conference Description
Key Takeaways
- Global virtual summit addressing cyber resilience challenges in AI-driven enterprise environments
- Focus on emerging agentic threats where autonomous AI systems may disrupt operations or corrupt data without human oversight
- Technical coverage includes end-to-end vaulting, automated recovery, digital jump bags and SaaS-based data protection
- Designed for CISOs, CIOs, security architects, data protection officers and business continuity managers
- Features keynotes, guided demonstrations, interactive labs and region-specific sessions across AMER, EMEA and APJ
Introduction
Cohesity Catalyst is a global virtual event examining how organisations can build operational resilience as artificial intelligence becomes increasingly embedded in enterprise infrastructure. The summit brings together cybersecurity practitioners, IT leaders and AI specialists to address a fundamental shift in the threat landscape: the rise of autonomous AI agents that operate with minimal human intervention and introduce novel risks to data integrity and business continuity.
The timing reflects growing industry concern about agentic AI systems. Unlike traditional automation, these agents can make decisions, execute tasks and interact with other systems independently. While this autonomy delivers operational efficiency, it also creates attack surfaces and failure modes that conventional security frameworks were not designed to address. An agent with access to critical systems could, if compromised or misconfigured, propagate errors or malicious actions at machine speed before human operators become aware of the problem.
About Cohesity Catalyst
The event is structured as a worldwide broadcast with programming tailored to three major regions: the Americas, Europe, Middle East and Africa, and Asia-Pacific and Japan. This format allows participants to engage with content relevant to their regulatory environment and operational context while accessing a shared pool of keynote presentations and technical resources.
Emmy-winning journalist Emily Chang headlines the keynote programme, joined by cybersecurity experts and business leaders who will share practical strategies and real-world experiences. The agenda balances executive-level strategic discussions with hands-on technical workshops, recognising that effective cyber resilience requires alignment between leadership vision and operational capability.
Following the live broadcast, all sessions will be available on demand, enabling attendees to revisit technical demonstrations or share relevant content with colleagues who could not participate in real time.
Securing AI Systems and Autonomous Agents
A central theme of Cohesity Catalyst is the protection of AI systems themselves, not merely the data they process. As organisations deploy agents to handle tasks ranging from customer service to infrastructure management, these systems become both valuable assets and potential vulnerabilities. The event explores how security teams can extend their protective perimeter to encompass AI workloads, training data, model weights and the decision-making processes that agents execute.
The challenge is compounded by the speed at which agentic systems operate. Traditional incident response assumes human analysts will detect anomalies, investigate root causes and implement remediation. When an autonomous agent can execute thousands of operations per minute, this timeline compresses dramatically. Cohesity Catalyst addresses how organisations can implement automated detection and response mechanisms that match the pace of the systems they protect.
Data Protection and Recovery Architecture
The technical programme covers several approaches to maintaining data integrity and ensuring rapid recovery when incidents occur. End-to-end vaulting creates isolated copies of critical data that remain protected even if primary systems are compromised. This air-gapped approach has become increasingly important as ransomware operators specifically target backup infrastructure to maximise leverage over victims.
Digital jump bags represent another concept under discussion. Borrowed from incident response terminology, a jump bag traditionally contains the tools and documentation responders need to begin work immediately upon arriving at a scene. The digital equivalent pre-positions recovery resources, credentials and runbooks so that restoration can begin without delay when systems fail or are compromised.
Automated failover capabilities extend this philosophy by reducing dependence on manual intervention during critical moments. When primary systems become unavailable, automated processes can redirect workloads to secondary infrastructure, maintaining business operations while incident response teams address the underlying problem. The event examines how these capabilities integrate with broader disaster recovery and business continuity frameworks.
SaaS-based data security solutions, including Cohesity FortKnox SaaS and Cohesity RecoveryAgent, feature in the technical demonstrations. These platforms represent a shift toward cloud-delivered protection services that can scale with enterprise data volumes without requiring proportional investment in on-premises infrastructure.
Industry Context and Regulatory Pressures
The emergence of agentic AI arrives against a backdrop of intensifying regulatory scrutiny around both artificial intelligence and data protection. Organisations deploying autonomous systems must navigate evolving requirements around algorithmic accountability, data sovereignty and incident disclosure. Cyber resilience is no longer purely a technical concern but increasingly a governance and compliance imperative.
Public sector organisations face particular pressure to demonstrate robust protection of citizen data while simultaneously modernising service delivery through AI adoption. The participation of the City of Detroit among the organisations referenced in the programme reflects this tension between innovation and security that government entities must manage.
Enterprise participants from sectors including manufacturing, represented by Clarios, and technology infrastructure, with involvement from Cisco, Nutanix and HPE, illustrate the cross-industry relevance of these challenges. Regardless of sector, organisations deploying AI at scale confront similar questions about protecting autonomous systems and ensuring they can recover when those systems fail or are compromised.
Who Should Attend
Cohesity Catalyst is designed for professionals responsible for protecting enterprise infrastructure and data assets, particularly those whose organisations are adopting or expanding AI capabilities. The programme addresses concerns relevant to several distinct roles within the technology and security leadership structure.
Chief Information Security Officers and security architects will find value in the strategic discussions around threat modelling for agentic systems and the technical sessions on detection and response. Chief Information Officers and IT directors can assess how data protection architectures must evolve to accommodate AI workloads. Data protection officers will benefit from coverage of compliance considerations and data integrity assurance. Business continuity managers can explore how automated recovery capabilities integrate with existing resilience frameworks.
The event serves both large enterprises with established AI programmes and organisations in earlier stages of adoption who want to build security considerations into their deployment strategies from the outset.
Practical Learning Opportunities
Beyond keynote presentations, the programme includes guided demonstrations and interactive labs where participants can engage directly with protection and recovery technologies. This hands-on component allows technical staff to evaluate capabilities in a structured environment and understand how specific tools address the challenges discussed in strategic sessions.
The combination of executive content and technical depth reflects recognition that effective cyber resilience requires coordination across organisational levels. Security strategies developed in isolation from operational realities often fail during implementation, while technical solutions deployed without strategic alignment may address symptoms rather than root causes.
For organisations grappling with how to secure their AI investments while maintaining the agility these technologies promise, Cohesity Catalyst offers an opportunity to learn from peers facing similar challenges and evaluate approaches that have been tested in production environments.