Luke Behnke, head of enterprise product at Grammarly, joins theCUBE for an insightful discussion on maximizing ROI in enterprise Artificial Intelligence. Behnke, with a wealth of experience in tech innovations including AI, discusses his mission to enhance communication tools at Grammarly, making them indispensable for enterprise clients. Conducted by theCUBE analysts, the conversation delves into the essentials of communication in the workplace and the challenges of measuring AI's impact on business outcomes.Key insights include the introduction of Grammarly's Effective Communication Score and ROI reports which help companies gauge their communication efficacy, according to Behnke. The pioneering approach of A/B testing illustrated by Behnke showcases significant improvements in customer satisfaction and employee productivity when businesses leverage Grammarly's AI tools. The session also covers future prospects, particularly in light of Grammarly's recent acquisition of Coda, hinting at new horizons in AI-powered productivity. This excitement is backed by data-driven strategies that validate enterprise investments in cutting-edge communication solutions. #EnterpriseAI #Communication #Grammarly #AI #Coda #TechInnovation00:00 - Intro00:06 - Embarking on New Beginnings: Luke Behnke's Career Journey03:03 - The Role of AI in Communication06:55 - The Evolution of AI's Value10:22 - Importance of Effective Communication17:05 - Solutions on Business Communication Challenges24:07 - Measuring the Impact of AI Tools30:49 - Differentiating with ROI Analysis36:37 - Grammarly's Influence and Future: Insights and Conclusions

The SecurityANGLE recaps AWS re: Invent 2024 security announcements, highlighting enhancements to top security tools like AWS Identity and Access Management, Amazon GuardDuty, AWS CloudTrail, AWS Config, and Amazon Inspector. AWS Security Incident Response prepares and responds to security incidents, providing triaging capabilities and guidance. Amazon GuardDuty now offers Extended Threat Protection with AI/ML capabilities. AWS declarative policies enforce desired configurations at scale. AWS Verified Access allows secure access to corporate applications. Amazon OpenSearch integrates with Amazon Security Lake for streamlined log analysis. These updates aim to enhance security, improve threat detection, and simplify operational processes.

The term zero-trust was coined 14 years ago by Forrester Research, based on the principle of never trust, always verify. This model involves continuous verification of user identity, device health, and application permissions to minimize security risks. Zero-trust offers enhanced security by reducing attack surface and better monitoring of threats. Key principles include no implicit trust, strict identity verification, least-privilege access, and continuous monitoring. Organizations can start by implementing network segmentation to restrict access levels and isolate sensitive data. Solutions like Twingate ZTNA, NordLayer, and Akamai's Enterprise Application Access offer user-friendly ZTNA solutions for secure remote access. Cloudflare's Access and Akamai also provide strong integrations with multiple identity providers. ZTNA falls under the identity and access management component of zero-trust and involves user access through software-defined perimeters. Organizations should consider a standalone ZTNA solution or a ZTNA-as-a-service provider. Adopting a zero-trust approach is crucial for protecting organizations today, despite the complexity and cost involved. It is a necessary journey for safeguarding organizational security.

Matt Radolec, the VP of incident response, cloud operations, and SE EU at Varonis, discussed navigating security risks posed by Gen AI and how organizations can adopt AI while mitigating risks. Non-determinative outputs and risks of data breaches associated with generative AI tools were highlighted. Concerns about not knowing what data is fed into models, productivity issues, and challenges with deploying and maintaining copilots safely were discussed.Business leaders are exploring use cases for Gen AI in various industries like FinTech and marketing. Tips for safely deploying gen AI include assessing blast radius, building test plans for flaws and good results, and monitoring prompts to prevent abuse. Internal champions and early adopters can help drive adoption in organizations. Shelly Kramer, principal analyst at theCUBE Research, hosted the conversation with Matt Radolec at The Security Angle. Keep watching theCUBE for enterprise and emerging tech news.

In a discussion about data warehouses and security, Billy Spears, CISO at Teradata, shared insights about the importance of securing data warehouses. The concept of data warehouses originated in the 1980s and has evolved over time to store various types of data for business decision-making purposes.Key security concerns for data warehouses include unauthorized access, data breaches, insider threats, data leakage, vulnerabilities in infrastructure, poor identity management, and inadequate encryption of data at rest and in transit. Implementing encryption, identity and access management, and monitoring activities are essential for securing data warehouses.In a hybrid environment with data stored on-premises and in the cloud, end-to-end encryption and securing network connections using protocols like TLS or SSL are crucial security practices. Utilizing AI in security and access control in data warehouse environments can also make a difference by helping to understand and generate data for improved security measures.Overall, ensuring robust security measures in data warehouses is paramount to protect sensitive information and mitigate the risks associated with cyber attacks. By implementing best practices and leveraging technologies like encryption, identity and access management, and AI, organizations can enhance the security of their data warehouses and safeguard valuable data assets.AI can enhance security in data warehouses by detecting anomalies, predicting threats, and adjusting access control dynamically. Data classification is important to prioritize security measures for sensitive information. Risk-based security strategies focus on justifying security spending based on potential risks. The role of the CISO has evolved to include business risk understanding and advising at the board level. Security teams are seen as enablers rather than blockers, helping businesses achieve their goals securely. Teradata offers a robust security solution with a focus on cloud-native application protection. Billy Spears, CISO at Teradata, emphasizes the teamwork and support that have been instrumental in their security transformation. This conversation sheds light on data warehouse security strategies and highlights the importance of prioritizing security for business success.

Deception technology is a strategy that distracts cybercriminals by directing them towards decoys, minimizing damage and protecting assets within an organization. Honeypots, an early form of deception technology, have limitations and require significant resources, unlike modern techniques that focus on threat detection through false resources. Deception technology expedites threat detection, reduces attacker dwell time, and provides insights into attacker behavior. Common cyber attacks detected include account hijacking, credential theft, IoT attacks, lateral movement, and spear phishing. Trends in the industry include security data lakes, API connectivity, and AI for creating decoys. Key players in threat deception include Acalvio, Fortinet, and Zscaler, offering features like early threat detection and endpoint visibility. Deception technology is expected to simplify setup and deployment by 2025, benefiting organizations concentrating on threat detection. The user-friendly trend in cybersecurity products is growing, with more vendors entering the space and making threat detection technology more accessible, promising a bright future for deception tech.

The 19th annual IBM Cost of a Data Breach Report includes insights from 604 organizations impacted by data breaches. Healthcare has the highest average cost of a data breach at $9.77 million, taking nearly 300 days to contain. The industrial sector has seen increased costs per breach due to financial and chaotic motivations. Law enforcement involvement can reduce breach detection time, while internal security teams are improving in detecting breaches. Post-breach investments include incident response planning, threat detection, employee training, and identity access management. Employee training remains crucial, especially with generative AI on the rise. Managed security services investments have slightly decreased post-breach, possibly due to a shift towards security platforms. It's important for organizations to have plans in place, monitor user behavior, and involve law enforcement for better outcomes. Recommendations focus on data inventory, security posture management, identity access management, tech service management, and hybrid/public clouds. DSPM involves understanding where data is, how it's protected, and related policies. Awareness is key to effective data protection. AI and automation are crucial for security prevention, with early stages showing promise in prevention. AI can help mitigate skills shortages and increase productivity in security operations. Embracing AI and automation is essential to enhance security operations and reduce the impact of data breaches. Organizations should explore AI solutions from different vendors and take a proactive approach to security.

In a recent discussion, Tom Parker, CTO of NetSPI, emphasizes the complexities of attack surfaces within organizations and the need for a proactive security strategy. Drawing from his industry experience, Tom founded Hubble, a cyber asset attack surface management technology company acquired by NetSPI. The conversation highlights challenges organizations face with expanding attack surfaces, lack of visibility, and the importance of understanding assets, processes, and risks for effective security programs. Tom stresses the significance of visibility into internal and external attack surfaces, the value of integrated platforms for security management, and NetSPI's focus on technology-driven security services. Both Tom and Shelly Kramer underscore the importance of proactive security in enhancing business resilience and address the growing complexity of threat environments.

In this discussion led by Shelly Kramer and Jo Peterson, key takeaways from Black Hat 2024 are highlighted. The State of Cybersecurity report by Avanti reveals an increase in security budgets and investments in emerging technologies. The attention given to cybersecurity is growing, with 73% of executives and IT professionals reporting rising security budgets. Organizations are investing in various areas like cloud security, data security, and identity management to enhance their security posture. The focus is also on AI applications, supply chain security, and software bill of materials as an industry standard. New products showcased at Black Hat include SaaS security offerings, noise-canceling seams, and AI-powered data classification. Companies like NetRise and HPE Aruba Networking are offering innovative solutions to bolster security operations. The importance of proactive risk management in cybersecurity cannot be understated, especially considering the potential costs of ransomware attacks. The emphasis on business resilience underscores the critical nature of cybersecurity in today's landscape.

In this episode of The SecurityANGLE, the host, Shelly Kramer, is joined by Jo Peterson and Stephanie Southard, VP and CISO of BCU. They discuss cybersecurity for financial services organizations, specifically credit unions. Credit unions face similar security risks as banks and financial institutions, with regulators like the NCUA overseeing their security practices. The NCUA's vendor authority is crucial for enforcing regulations on third-party service providers. Challenges for credit union CISOs include executive alignment, budget constraints, staffing, and evolving threat environments.Stephanie emphasizes the importance of aligning security with business goals and communicating cyber risks effectively to executives and the board. The need for upskilling cybersecurity teams and leveraging AI and machine learning to enhance security operations is highlighted. She also encourages hiring from diverse backgrounds, including veterans and women, who bring valuable leadership, communication, and problem-solving skills to cybersecurity roles.Increasing gender diversity in cybersecurity can lead to stronger teams and better outcomes overall.The speaker discussed the importance of adaptability and resilience in the security landscape, highlighting the collaborative and nurturing nature of women in leadership roles. Women are described as detail-oriented problem solvers who bring emotional intelligence and empathy to the table. The conversation also touched on the need for women to support and mentor each other in the workplace. The speaker emphasized the value of investing in talent from diverse backgrounds and the rewarding experience of helping others succeed in their careers. Overall, the discussion underscored the significance of female leadership in cybersecurity and the benefits of fostering a supportive and inclusive work environment.