Name: CIS Risk Assessment Methodology
Start: 2020-09-23T18:00:00Z
End: 2020-09-23T18:00:44.000Z
Location: BrightTALK

Logically is a leading national managed security and IT solution provider that helps organizations secure and support their businesses today, solve for tomorrow, and strategize for the future with cyber-first solutions. Our team of experts, including cybersecurity, engineering, networking, and cloud specialists, collaborate with customers to implement solutions that protect their assets, reduce risk, and optimize performance, end to end. ​ Since 1999, we have made long-term relationships, customer service excellence, and purposeful innovation guiding principles to ensure customers have a trusted advisor at their side, helping them focus on their business, not the technology behind it.

Banking IT: Lessons You Don’t Want to Learn the Hard Way: This webinar brought together banking and credit union leaders alongside experts from Logically and Extreme Networks to address how financial institutions are navigating today’s evolving threat landscape.  In the recording, you’ll learn: 
*How to avoid common security and compliance missteps 
*What Zero Trust adoption looks like in real-world financial environments 
*Steps you can take now to improve resilience, visibility, and risk reduction 

If securing and modernizing your network is a priority in 2025 and beyond, this conversation offers practical guidance you can put into motion right away. Feel free to reach out if you’d like to discuss how these strategies apply to your organization.

Banking IT in 2026: Lessons You Don't Want to Learn the Hard Way

Today’s young professionals are growing up with AI as a default. What does that mean for leadership, learning, and security? This session explores how the next generation of IT and cybersecurity professionals approach knowledge, trust, and decision-making in an AI-saturated world. Attendees will leave with ideas for adapting training, mentorship, and talent development programs to this new AI-native mindset.

Learning Outcomes:

• Explore how AI is shaping the worldview of early-career professionals.
• Adapt leadership and learning to modern generational expectations.
• Anticipate future trends in recruitment and workforce evolution.

Born with A Bot: Educating the AI-Native Generation

In the high-octane world of Formula 1, every millisecond counts—and every byte of data matters. Nowhere is the demand for speed, precision, and reliability greater than in the race to the podium. In this keynote, discover how the Sauber Formula 1 team leverages Extreme Networks cutting-edge technology to operate as one of the world’s most data-driven enterprises. From capturing and transmitting real-time telemetry to harnessing AI for predictive analytics, Sauber transforms torrents of data into split-second insights that can make the difference between victory and a dreaded DNF. And just like Sauber, every business enterprise today faces the same challenge: turning massive amounts of real-time data into intelligence that drives agility, innovation, and competitive advantage. Join us for an inside look at how Extreme’s next-generation networking fuels innovation, enhances reliability, and helps one of the sport’s most storied teams stay ahead of the curve—both on and off the track.

From Telemetry to Triumph: Driving AI-Powered Performance with Sauber F1

IT managers are often expected to deliver more with fewer resources—and AI can help, if applied thoughtfully. This session explores real-world use cases where AI is augmenting IT operations, from meeting transcription and analytics to advanced troubleshooting and reporting. You’ll hear how frontline teams are using tools like CoPilot to drive productivity, assist with training, and enhance knowledge sharing—without compromising security or oversight.

Learning Outcomes:

• Discover tactical AI use cases relevant to day-to-day IT management.
• Learn how to enable secure access to generative tools for staff.
• Explore metrics for measuring the impact of AI in service and support workflows.

Essential AI use cases as an IT Manager

With cybersecurity oversight expanding at federal and state levels, executives are facing mounting regulatory pressure. This session will unpack what the latest wave of compliance changes means for IT and InfoSec leaders—from the SEC's cybersecurity disclosure requirements to the increasing global reach of data protection laws. Attendees will learn how to position compliance not as a box-checking exercise, but as a business enabler that supports transparency, trust, and long-term resilience.

Learning Outcomes:

• Understand current and emerging cyber regulations impacting mid-market firms.
• Align compliance strategy with board expectations and legal obligations.
• Build processes that scale across controls, audits, and reporting.

Surviving and Thriving Amid Cyber Regulation Overload

Cyber adversaries aren’t just evolving—they’re accelerating. For mid-market organizations, the challenge is clear: you face the same threat actors as the enterprise, but with fewer resources to fight back. This opening keynote delivers an unfiltered look at the 2025 threatscape—ransomware-as-a-service, AI-powered phishing, supply chain infiltration, and the growing risk to OT systems. Pulling from the latest global threat intelligence, this session breaks down where attacks are headed, which sectors are being targeted, and what tactical moves you can make now to build resilience—without breaking the bank.

Learning Outcomes:

• Analyze emerging threat vectors that target mid-market organizations.
• Learn practical mitigation strategies based on industry trends.
• Understand how attackers are evolving their toolsets with AI.

ThreatScape 2025: What Every Leader Needs to Know Now

Tool sprawl has become one of the most expensive and inefficient problems in IT and cybersecurity. This session focuses on how to consolidate and rationalize your tech stack—while improving outcomes. Learn how to measure tool overlap, eliminate shelfware, and integrate platforms for visibility, cost control, and operational efficiency.

Learning Outcomes:

• Audit and assess your current toolset.
• Identify redundancy and inefficiency in the technology stack.
• Build a plan for consolidation that aligns with business risk.

Technology Stack Rehab – TCO & Tool Sprawl

Born with a Bot: Educating the AI-Native Generation

As artificial intelligence continues to shape the future of cybersecurity, this panel dives into its real-world applications within modern security operations. Moving beyond theory, security professionals Rob Dunn, Kyle Sandy, and Chandra Pandey share firsthand experiences from their own workflows—demonstrating how AI is actively enhancing detection, streamlining triage, and even transforming technical reporting into business-ready insights.

From breaking down complex vendor configurations to accelerating ticket management and reducing alert fatigue, this session offers a practical lens on AI integration such as:

• Seeing firsthand how AI is augmenting the cybersecurity toolkit.
• Exploring specific timesaving and decision-support use cases.
• Understanding best practices for adoption without over-reliance.

Ideal for cybersecurity leaders, analysts, and practitioners, this session delivers a grounded look at how AI is truly augmenting, not replacing, the human element in cybersecurity.

AI as a Cybersecurity Force Multiplier: Practical Use Cases from the Field

As organizations embrace AI to enhance operations, the expansion of cloud-based infrastructure introduces new security challenges at the network edge. This session explores the evolving landscape of cloud edge security, focusing on strategies to safeguard AI-driven workloads and ensure seamless scalability. Attendees will learn about the role of unified security frameworks (SASE), real-time threat detection, and adaptive access controls in protecting distributed environments.

Fortifying the Cloud Edge: Securing and Scaling AI-Driven Infrastructures

In a digital world shaped by generative AI, the ability to manipulate audio, video, and images with startling realism has sparked a new class of cybersecurity and reputational threats—deepfakes. While headlines often highlight political implications or celebrity hoaxes, the real risk to mid-market IT and security teams lies in business email compromise, executive impersonation, fraud, and social engineering attacks amplified by synthetic media.



This session will explore the rise of deepfake technology, including how it’s created, why it’s growing more accessible, and what it means for organizations that rely on trust and identity verification. From targeted phishing campaigns to synthetic voice fraud, we’ll examine the evolving threat landscape and highlight real-world use cases that expose vulnerabilities in employee training, authentication systems, and crisis communication protocols.



You’ll walk away with a clearer understanding of how to assess your organization’s exposure to deepfake-enabled threats, build defensive frameworks that include awareness training and AI-powered detection tools, and protect your executive team and brand from manipulation.

Key Takeaways:

- Learn how deepfakes are created and where they pose the most risk to mid-sized businesses
- See examples of deepfake-enabled attacks in the wild and their operational consequences
- Understand how to detect, defend, and respond to identity-based threats using AI and layered security
- Get practical tools to train your teams, secure executive communications, and safeguard trust in an era where seeing—and hearing—is no longer believing

Seeing Isn’t Believing: Deepfakes and the Erosion of Digital Trust

AI use is exploding across teams—but much of it is happening without oversight. Shadow AI represents a growing threat vector where well-meaning employees introduce tools like ChatGPT or Gemini without security controls or compliance visibility. This session explores how to identify and rein in Shadow AI, develop policy frameworks, and foster a culture of responsible innovation before exposure leads to disaster.

Learning Outcomes:

• Define and detect Shadow AI within your organization.
• Develop governance models that enable transparency and safe experimentation.
• Prevent inadvertent IP leakage and regulatory violations.

Shadow AI: The Invisible Threat Inside Your Organization

AI is only as good as the data behind it. This session dives into how to clean, structure, and govern data so it can be used safely and effectively in AI workflows. We’ll explore how IT leaders can modernize legacy data environments, implement role-based access, and ensure data quality and security—while still enabling fast experimentation and decision-making. Learn the fundamentals that make or break enterprise AI readiness.

Learning Outcomes:

• Learn best practices for data hygiene, lineage, and governance.
• Build secure pipelines that prepare data for machine learning.
• Enable agile data use without compromising compliance.

Data or Bust: Building the Backbone for AI Success

AI adoption is rarely smooth, especially for mid-market teams balancing risk, culture, and integration challenges. In this candid conversation with Logically’s AI leadership, we’ll explore what it really takes to implement AI across departments. Hear real-world lessons about navigating internal resistance, aligning AI to business priorities, mitigating risks, and partnering with vendors like Copilot and Hatz.AI. It’s a behind-the-scenes look at what worked, what didn’t, and how Logically is designing a responsible AI culture for long-term success.

Learning Outcomes:

• Understand common pitfalls and breakthroughs in AI adoption.
• Learn strategies for cross-functional AI enablement.
• Gain insight into aligning technical rollouts with cultural change.

Fireside chat with Logically's  AI Team - Lessons learned from the trenches

Today’s IT and InfoSec leaders are under unprecedented pressure—from defending against relentless cyberattacks and delivering AI initiatives at warp speed, to driving digital transformation with constrained budgets and shrinking teams. Compounding the stress is the looming uncertainty around AI's impact on job security, fueling anxiety at all levels. This session takes a candid look at how these forces are converging to create a burnout crisis among technology professionals. Attendees will explore how to manage these pressures through thoughtful leadership, strategic delegation to AI, and a renewed focus on human-centered workflows. We’ll unpack how to strike a balance between automation and well-being, ensuring that teams stay productive, protected, and resilient in an AI-powered workplace.

Learning Outcomes:

• Identify systemic and psychological drivers of burnout in high-stakes IT and security roles.
• Implement AI in ways that alleviate, not amplify, staff pressure.
• Develop leadership strategies that prioritize well-being while meeting aggressive innovation goals.

Burnout, Balance & AI in the Human Workflow

Many AI pilots are stalled—not for lack of potential, but lack of business justification. In this session, finance, technology, and business leaders will unpack how to frame AI investments in terms of efficiency, automation, and value creation. From quantifying productivity boosts to avoiding hidden cost centers, attendees will learn how to fund AI with intention, track ROI with precision, and communicate results across stakeholders.

Learning Outcomes:

• Build business cases for AI investments aligned to outcomes.
• Understand cost modeling for GenAI and ML tools.
• Avoid common budget traps when scaling AI across teams.

Show Me the ROI – Budgeting for Real AI Outcomes

AI is not just an IT initiative—it’s a cultural and operational shift touching every corner of the organization. This panel of leaders from marketing, HR, operations, and customer support will share how AI is impacting decision-making, workflows, risk tolerance, and hiring. For CIOs and CISOs, this is a rare opportunity to hear firsthand how other departments view AI adoption—and what they need from IT to make it work.

Learning Outcomes:

• Understand how AI is reshaping work outside the IT domain.
• Identify partnership opportunities between IT and business units.
• Anticipate the change management needs of non-technical teams.

AI’s Ripple Effect Across the Org Chart

Data privacy is becoming harder to manage as new tools, teams, and AI models interact with sensitive information. In this session, we’ll explore the friction between digital innovation and data privacy requirements—especially as teams adopt GenAI tools without clear controls. You’ll learn how to manage exposure risk, safeguard proprietary data, and meet privacy obligations while enabling productivity. This is a must-attend for anyone navigating a landscape where sensitive data lives in many places—and often travels without oversight.



Learning Outcomes:



• Identify common privacy pitfalls when deploying AI and SaaS.

• Implement protections for IP and sensitive data across tools.

• Build user policies that reinforce responsible data usage.

Privacy on the Edge: Protecting Data in an AI-Driven World

The Center for Internet Security (CIS) sets the standards for IT security by defining the best practice criteria to reduce risk in your IT environment. Along with NIST and ISO, Logically follows CIS standards and controls as part of our approach to securing your environment. 

In this webinar, we will review the Risk Assessment Methodology as directed by CIS. This webinar is presented by Greg Manson, Vice President of Security, Audit, and Compliance at Logically.

CIS Risk Assessment Methodology

IT Security

Risk Assessment

Cyber Attacks

Cyber Incident Response

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CIS Risk Assessment Methodology

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