Skip to content

How Identity Management Will Decide Your Cybersecurity Success

Identity has become the new frontline in the war for cybersecurity, as attacks have shifted dramatically in the last few years from network breaches to credential compromise and exploitation.

 

While hybrid work, SaaS platforms, cloud-native infrastructure, and AI agents acting on behalf of users have created tremendous innovation and opportunity, these technologies have also added massive amounts of risk. All of this has fundamentally reshaped the "attack surface," the total sum of all potential entry points, including digital, physical, and social.

 

During a recent Tech in Motion webinar, four cybersecurity leaders unpacked how this shift is playing out in real time and what organizations must prioritize next. Their discussion revealed five major takeaways that define identity trends this year.

 

 

 

Logging In Is the New Breaking In

 

The defining security reality of 2026 appears to be this: Instead of breaching network perimeters through sophisticated exploits, attackers increasingly acquire credentials and authenticate themselves as legitimate users.

 

Once inside, attackers can blend in like a spy who never had to pick the lock because they were handed the keys. According to the Verizon Data Breach Investigations Report, roughly 70% of breaches now involve a human element, with stolen credentials and social engineering leading the way.

 

This evolution mirrors how enterprise environments have changed. Distributed teams, SaaS applications, single sign-on, and cloud-first architectures have dissolved the traditional perimeter.

 

If an attacker acquires valid credentials and successfully navigates multifactor authentication, the login appears normal. The activity resembles legitimate user behavior. The breach does not begin with alarms. It begins with authentication.

 

That reality forces a strategic pivot. Network-based controls still matter, but identity governance now sits at the center of enterprise risk management. If access control fails, everything else becomes reactive.

 

Quotes icon

Threat actors are no longer breaking in. They’re logging in.”

Grace Beason, Co-Founder & COO, Mercury Risk and Compliance, Inc.

 

Philly Event CTA

 

The Compromised Active User

 

Many organizations assume their biggest identity risk lies in forgotten or orphaned accounts. While those do represent exposure, the greater threat increasingly involves active users whose credentials have been compromised.

 

The most common breach narrative in 2026 does not involve immediate disruption. Instead, attackers gain access, land and expand, and operate quietly within existing workflows. They use legitimate tools, escalate privileges gradually, and extract monetizable data before detection.

 

Industry averages often place breach discovery timelines at around 200 days. That extended window gives attackers ample opportunity to move laterally and entrench themselves.

 

Artificial intelligence has amplified this risk. Generative AI can study publicly available content, from your LinkedIn posts or TikTok videos, and convincingly replicate tone, writing style, and context.

 

When attacks are hyper-personalized and linguistically precise, even experienced professionals can be deceived.

 

Microsoft, in its new digital defense report, said that AI-enabled phishing campaigns have demonstrated click-through rates rising from traditional averages around 12% to more than 50% in certain scenarios.

 

 

Lightbulb Icon

Organizations must move beyond simply disabling inactive accounts. Continuous monitoring of active identities, behavioral analytics, and more rigorous access recertification are now essential components of identity defense.

 

 

Host David Shipley unpacks the evolving threat landscape and highlights the critical priorities organizations must focus on today alongside fellow panelists Grace Beason, Ryan Sahadeo, and Gavin Anthony Grounds.

 

Human Behavior Still Drives Identity Risk

 

Even as authentication technology evolves, many identity failures stem from operational gaps rather than technical limitations. Inconsistent onboarding and offboarding processes, delayed access reviews, MFA fatigue, and help desk verification shortcuts create openings that attackers exploit.

 

There is no doubt that humans are overloaded. The average professional now manages well over 150 credentials across personal and professional systems.

 

Expecting these individuals to manually generate, rotate, and remember long, unique passwords at that scale is unrealistic. Thus, pattern reuse and credential fatigue become inevitable. And each small compromise of discipline expands exposure.

 

This is not just an IT problem. Every department within an organization interacts with identity in some form. When leaders reinforce that identity protection is a shared responsibility, compliance shifts from a checkbox exercise to a risk-reduction strategy.

 

The objective is not to eliminate every phishing click. The goal is to increase reporting speed and reduce dwell time. Rapid recognition and escalation often matter more than perfection.

 

Quotes icon

We're all human firewalls and the buck really stops with us."

Ryan Sahadeo, Founder & CEO, SecurOptix

 

 

Machine Identities Are the Fastest-Growing Threat

 

The fastest-growing identity risk in 2026 isn’t human. It’s machines. Recent industry reporting suggests that up to 80% of successful breaches now involve misuse of non-human identities.

 

In many enterprise environments, machine identities now outnumber human users by as much as 10 to 1, making non-human access nearly ubiquitous.

 

These include service accounts, API keys, automation scripts, and AI agents. They act inside company systems just like employees do, but they are often managed with far less oversight, with broader permissions and less monitoring.

 

Most organizations already struggle to manage employee access properly. Machine credentials make that challenge even harder. API keys and service accounts are often created for a project and then left in place. Some never expire. Others have more access than they truly need.

 

As AI agents become part of daily workflows, they must be treated like real users. They need authentication, access controls, and clear accountability.

 

 

 

Identity Must Be Governed, Not Just Managed

 

Identity management is no longer just an IT cleanup task. It is a leadership issue. Executives need visibility into how access is controlled across the organization.

 

Companies should maintain a clear list of all identities. That includes employees, contractors, service accounts, and AI systems.

 

Access should be reviewed regularly. Offboarding should connect directly to HR systems so accounts are removed as soon as someone leaves. Privileged access should be tightly controlled and carefully monitored.

 

Process alone is not enough. Incentives matter, as well. Access reviews often fail because they feel like paperwork. When identity is treated as a real business risk instead of a compliance checkbox, leaders pay attention and teams take it seriously.

 

Fortunately, regulators are raising the bar on detection. Auditors now expect clear proof that companies manage identity from start to finish. That includes how accounts are created, monitored, and removed. It also includes how machine credentials are controlled.

 

 

Quotes icon

We have to look at identity not just as IT hygiene, but as governance.”

Grace Beason, Co-Founder & COO, Mercury Risk and Compliance, Inc.

 

 

What’s Next

 

Identity is now the front line of cybersecurity because every system, every workflow, and every AI agent depends on access. When identity fails, everything fails. Organizations that treat identity as a strategic priority, not an IT afterthought, will reduce risk, respond faster, and build real resilience.

 

 

Extended Q&A: Ryan Sahadeo's Post-Event Insights

After the event, Ryan answered some questions from the attendees that we didn't have time to address.

For early-career professionals entering cybersecurity, what practical skills or certifications would you recommend focusing on?

To provide a proper certification pathway, this starts with figuring out what area of cybersecurity interests that particular professional. Are you interested in cloud and AI? I would recommend any of the entry level certs from the big 3 cloud providers (AWS, Azure or GCP). Pick one platform and become familiar with the layout, terminology, and how it works intricately. Each platform has the same feature sets, just named differently. Maybe someone is interested in governance, risk, and compliance. I would then recommend getting hands on experience in policy creation, learning about the requirements for different audits such as SOC 2 and ISO 27001 and frameworks like NIST SP 800-53, and the Risk Management Framework (RMF). Once the professional identifies the area they want to specialize in, they can then look up certifications for that area, making sure to add in work experience after passing the certification.

What other data, other than simulations, are CISOs focused on to determine risk thresholds?

Risk starts at the organizational level. Beyond traditional simulations such as phishing, deepfake, or smishing exercises, CISOs increasingly rely on a wide array of operational and contextual data to determine risk thresholds. This includes monitoring privileged account usage, anomalous login patterns, and access requests to detect early signs of insider threats or compromised credentials. Endpoint and network telemetry is analyzed to understand attack surface exposure and unusual traffic behavior, while third-party and supply chain risk data, including vendor security posture and breach history, are factored into account for risks that extend beyond internal systems. Additionally, real-time threat intelligence and historical incident reports help model potential impacts on critical assets, and user behavioral analytics track deviations in activity that may signal elevated risk. Compliance and regulatory alignment with frameworks such as NIST CSF or ISO 27001 provide further baseline metrics for acceptable residual risk.

How can leaders address identity and security without jeopardizing privacy and inclusion?

Addressing identity and security while preserving privacy and inclusion requires a careful balance between robust controls and respectful, equitable practices. Organizations should adopt privacy-by-design principles, ensuring that identity verification, authentication, and access management processes collect only the minimum necessary data and store it securely. Implementing role-based or attribute-based access control allows users to have appropriate permissions without exposing sensitive information unnecessarily. Equally important is the use of transparent policies and clear communication, so employees and customers understand how their data is used, which builds trust and supports inclusivity. Security measures should be flexible and accommodate diverse user needs, such as offering multiple authentication options or accessibility-friendly tools, rather than enforcing a one-size-fits-all approach. Regular audits and bias assessments can help ensure that identity verification processes do not inadvertently disadvantage any group. By integrating strong cybersecurity practices with privacy-conscious, inclusive policies, organizations can mitigate identity and security risks without compromising the rights or experiences of their users.

What do you think is the best solution to AI agent authentication?

Adding an AI chatbot, agentic workflow, or custom large language model for internal use naturally expands an organization’s risk footprint. The best way to authenticate these AI agents is to give each one a strong, verifiable digital identity, such as a secure certificate, that proves it belongs to the organization and hasn’t been tampered with. Authentication shouldn’t stop there—organizations also need to continuously monitor the agent’s behavior, including the tasks it performs and the data it accesses, to detect anything unusual. By combining strong identity verification with ongoing behavioral checks and dynamically limiting access based on risk, organizations can safely leverage AI agents while minimizing exposure to security threats.

 

 

New call-to-action

Join the
Community

Want to be the first to know about upcoming events? Sign up to receive event updates, industry insights, and more helpful content straight to your inbox!