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Web-based attacks rarely look the same twice. Attackers constantly rotate domains, modify malware, weaponize legitimate websites, and adapt their techniques to avoid detection. The domain isn't lying. The content is. Security teams can no longer depend solely on known indicators of compromise—they need security strategies that can recognize suspicious behavior as threats continue to evolve.

Get a practical look at how organizations are adapting their defenses to keep pace with evasive web-based attacks.

Topics include:

• Detecting malicious activity hidden within legitimate web traffic
• Reducing exposure to phishing, malware, and browser-based attacks
• Securing web access across distributed environments

Web traffic drives business operations—but it can just as easily drive the next breach.

You can't defend what you can't see—and most organizations are defending less than they think. Cloud workloads spin up without security review. Shadow IT accumulates outside official asset inventories. Acquisitions bring infrastructure that was never fully mapped. Attackers often have a clearer view of your external attack surface than you do. Security teams that rely on periodic inventories instead of continuous awareness risk making decisions based on yesterday's environment rather than today's reality.

Find out how organizations are building attack surface visibility programs that keep pace with environments that don't stand still.

Topics include:

• Maintaining continuous attack surface awareness
• Finding assets that fall outside traditional inventories
• Prioritizing risk based on a complete view of the attack surface

The attack surface your program tracks and the one attackers see are not the same thing. Find out what it takes to close that gap.

Advanced threat actors count on one thing above all else—time. Time to move laterally. Time to escalate privileges. Time to reach the systems that matter. The measure of an advanced threat program isn't how accurately it fires alerts. It's how quickly those alerts become containment. Most security teams don't lose to advanced threats because they never saw them. They lose because they couldn't act fast enough.

See where response processes create unnecessary delay—and what organizations are doing to eliminate it.

Topics include:

• Reducing attacker dwell time through faster containment
• Prioritizing high-risk threat activity
• Connecting threat detection to coordinated response workflows

Advanced threat actors are timing your response. Find out what it takes to move faster than they expect.

Moving security tools into the cloud isn't the same as securing the cloud. The controls designed for on-premises infrastructure—agent-based endpoint protection, network perimeter monitoring, static policy enforcement—were built for environments that persist. Cloud-native architectures don't. Workloads are ephemeral. APIs replace network boundaries. Identities do the work that firewalls used to do. Retrofitting legacy controls onto cloud-native architecture leaves the gaps attackers are looking for.

See what it takes to align security practices with the realities of cloud-native architecture.

Topics include:

• Securing cloud-native workloads at scale
• Protecting API-driven application communication
• Managing identity and access across cloud-native infrastructure

Cloud-native architectures didn't inherit yesterday's infrastructure. They shouldn't inherit yesterday's security model either.

The analyst workflow is changing. Where investigation once meant manually querying across disconnected tools and assembling context from multiple sources, AI is generating investigation summaries, surfacing relevant threat context, and recommending response actions in the time it used to take to open the first ticket. Agentic AI is going further—running investigative steps autonomously, executing playbooks, and escalating only what requires human judgment.

Find out where AI is delivering measurable security impact—and how organizations are turning early experimentation into operational results.

Topics include:

• Identifying where AI delivers measurable security value
• Accelerating investigation and triage with AI-assisted workflows
• Balancing AI automation with human oversight in security operations

AI isn't just accelerating security operations. It's changing what security teams can accomplish.

Every application security program generates findings. Few generate the context needed to act on them intelligently. Across the development lifecycle—from first commit to production deployment—security tools generate more findings than most teams can realistically prioritize. High-severity vulnerabilities slip through not because they weren't found, but because they couldn't be separated from the noise around them. Application security isn't measured by how many findings you close—it's measured by the business risk you eliminate.

Find out how organizations are bringing greater precision to prioritizing application risk.

Topics include:

• Separating critical risk from noise
• Prioritizing remediation across the development pipeline
• Evaluating risk based on business exposure

The challenge isn't finding vulnerabilities. It's deciding which ones deserve immediate attention.

Traditional endpoint security assumed devices stayed on trusted networks, users worked from managed systems, and malicious software arrived as files that could be scanned before execution. Those assumptions no longer hold. Endpoints now operate across remote locations, cloud-connected services, and identity-driven access models. Security strategies built around signatures and known indicators leave organizations defending against attacks that no longer behave the way traditional endpoint defenses expect.

Find out what endpoint security looks like when it's built for the environment organizations actually operate in today.

Topics include:

• Detecting threats hidden in normal activity
• Protecting endpoints across identity-driven and cloud-connected environments
• Detecting threats that evade signature-based endpoint controls

Endpoint security built for yesterday's threat environment is today's attack opportunity.

The cloud made data easier to store, share, and access—and harder to track, govern, and protect. Sensitive information spreads across object storage buckets, SaaS applications, and cloud databases without the clear boundaries that made data security manageable in on-premises environments. Security teams often discover these repositories only after an audit, investigation, or incident exposes them. When cloud data can't be consistently seen, it can't be consistently protected.

Understand what it takes to close cloud data visibility gaps before they become protection gaps.

Topics include:

• Discovering sensitive data across cloud environments
• Enforcing consistent security controls across cloud data stores
• Managing access and entitlements across cloud data environments

Every gap in cloud data visibility becomes a gap in cloud data protection.

The attack surface doesn't start at the perimeter anymore. It starts in the pipeline. Open-source dependencies, third-party integrations, and containerized components introduce risk at every stage of the software delivery lifecycle. Every dependency is a potential entry point. Every pipeline stage is a potential gap. Security programs built around the release gate are protecting one stage of a lifecycle that has many.

Find out how organizations are extending security across every stage of the software delivery lifecycle.

Topics include:

• Managing risk across the software supply chain
• Extending security beyond release-gate reviews
• Protecting every stage of the delivery pipeline

Security at the release gate catches risk late. Find out what catching it earlier actually requires.

Security findings often report exposures, vulnerabilities, and threat activity in great detail, but fail to answer the one question business leaders still need answered: What does this mean for the organization? Lists of findings rarely explain financial exposure, operational disruption, regulatory risk, or reputational damage, the consequences business leaders are responsible for managing. Quantifying cyber risk in operational and financial terms gives business leaders the context they need to evaluate tradeoffs, prioritize investments, and make informed decisions when resources are limited.

See how organizations are bringing greater clarity to cyber risk decision-making.

Topics include:

• Measuring cyber risk in business terms
• Communicating risk to executive decision-makers
• Prioritizing investments based on quantified risk

Better business decisions start with better cyber risk context.