ACTIONABLE INTEL Elevate Xchange Executives Summary Group 1

The Age of Hyperautomation, Increased Security Risks,

SASE, Quantum, and Agentic AI | Sept 04, 2025 4:30p-8:30p

The digital landscape is undergoing a seismic transformation marked by the rapid adoption of

hyperautomation—an era where AI-driven systems, robotic process automation (RPA), and machine learning are converging to streamline operations at unprecedented speed and scale. This accelerated automation wave is reshaping industries by reducing manual intervention and optimizing efficiency, but it also introduces a complex web of interdependencies that can amplify systemic vulnerabilities. As organizations shift toward increasingly autonomous digital ecosystems, the need for robust, adaptive, and predictive security frameworks becomes paramount.

With the proliferation of hyper automated systems comes a surge in security risks. Traditional

perimeter-based defenses are no longer sufficient to protect distributed, cloud-native environments. This has led to the rise of Secure Access Service Edge (SASE), a converged approach that integrates network and security functionalities into a unified, cloud-delivered service model. SASE provides dynamic, context-aware access controls and real-time threat detection, crucial for protecting an ecosystem where users, devices, and applications are highly mobile and decentralized. However, the evolving threat landscape—exacerbated by increasingly sophisticated cyberattacks—continues to test the resilience of even the most advanced SASE architectures.

Emerging technologies such as quantum computing and agentic AI add further complexity. Quantum advancements threaten to undermine current encryption standards, pushing organizations to prepare for a post-quantum security paradigm. Meanwhile, agentic AI systems—capable of autonomous goal-setting and decision-making—introduce novel security and ethical considerations. These AI agents, while powerful in optimizing hyper automated workflows, also pose challenges around control, alignment, and accountability. Navigating this new age requires a proactive, multi-disciplinary approach that combines cutting-edge cybersecurity, ethical AI governance, and continuous innovation to safeguard the promise of hyperautomation.

1. Mitigating Security Risks in a Hyperautomation World Led By: RICHARD LATULIP, CISO, Recorded Future

•  Self-Learning Systems: AI-driven decision-making and automation improvements.

•  Predictive Analytics: Using AI to anticipate and resolve business issues.

•  Low-Code/No-Code Platforms: Democratizing automation for non-technical users.

2. Hyperautomation & AI Integration Led By: JUHI CHAWLA, VP, IT & Division CIO, Brinks

•  Self-Learning Systems: AI-driven decision-making and automation improvements.

•  Predictive Analytics: Using AI to anticipate and resolve business issues.

•  Low-Code/No-Code Platforms: Democratizing automation for non-technical users.

3. Increased Security Risks in the Digital Era Led By: SHANNON ALBRIGHT, BISO, Mr. Cooper

•  Attack Surface Expansion: IoT, cloud, and remote work creating more vulnerabilities.

•  Advanced Persistent Threats (APTs): Sophisticated cyberattacks targeting businesses.

•  Zero-Day Exploits: The rise of unknown vulnerabilities and rapid exploitation.

4. AI-Powered Cyber Threats Led By: JAMES CARPENTER, CISO, Scottish Right Hospitals

•  Automated Phishing: AI-generated social engineering attacks.

•  Deepfake & Synthetic Identity Fraud: AI-generated content for deception.

•  AI vs. AI Security: Using AI to counter AI-driven threats.

5. Data Privacy & Compliance Challenges Led By: MIGUEL GUILLEN, AVP Data Strategy & Governance, Xome

•  GDPR, CCPA & Global Regulations: Adapting to evolving data protection laws.

•  Shadow IT Risks: Unauthorized applications creating security blind spots.

•  Data Sovereignty Issues: Managing cloud data across different legal jurisdictions.

6. The Quantum Computing Threat to Cybersecurity Led By: AMISH CHADHA, Global Technology Strategy Lead, Kimberly Clark

• Algorithms for Cybersecurity: Quantum algorithms breaking traditional encryption (Shor’s

  Algorithm)

•  Withstand Cyberattacks: The need for quantum-resistant cryptographic solutions

• Cryptographically Relevant: (CRQCs): The timeline for quantum computing’s impact on

  cybersecurity.

7. The Expanding Attack Surface Led By: TIM WEST, VP Services, Halcyon

• Increased Vulnerability: Increase in endpoints and automated agents vulnerable to exploits.

• Increased Accuracy: Difficulty in tracking machine identities and automated access.

• Interconnected Challenges: Security blind spots in interconnected hyper automated

  environments.

8. The Rise of Secure Access Service Edge (SASE) Led By: TIM WITOS, SVP Silent Security,

formerly VP, McKesson

•  Definition & Framework: Converging network security with SD-WAN.

•  Key Components: Zero Trust Network Access (ZTNA), cloud security, SWG, CASB.

•  Benefits for Enterprises: Scalability, security, and performance improvements.

9. AI-Augmented Cybersecurity Led By: RICKY ARORA, COO/CIO, Observo.ai

•  Increased Speed: AI-driven threat detection and response at machine speed.

•  Increased Accuracy: Behavior-based anomaly detection in real-time systems.

•  Pre-Defined Workflows: Automated playbooks for incident containment & remediation.

10.Zero Trust Architecture for Hyperautomation Led By: Dale Zabriskie, CISO, Cohesity

•  Human Controls: Never Trust, always verify – applied to machine and humans alike.

•  Dynamic Authentication: Continuous authentication and adaptive trust models.

•  Zero Trust Automation: Integration of Zero Trust with automation pipelines.