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Introduction: The Next Cybersecurity Battle May Begin With a Trusted Identity
For years, cybersecurity teams focused on protecting the network perimeter. Firewalls, VPNs, endpoint protection, email security, and intrusion detection systems formed the walls around the organization. But the walls are no longer where the most important battle is taking place.
Modern enterprises are built on identities.
Employees access cloud platforms. SaaS applications communicate with one another. Third-party integrations receive delegated permissions. APIs exchange data automatically. Service accounts perform critical tasks in the background. And now, AI agents are beginning to make decisions, execute workflows, access business systems, and interact with sensitive information without a human clicking every button.
This transformation creates a dangerous question: what happens when the identity itself becomes the attack surface?
A cybersecurity analysis highlighted by CYFIRMA places identity compromise, delegated SaaS access, and agentic systems inside a single trust graph. The central message is increasingly difficult for security leaders to ignore. Organizations can no longer defend only human users and traditional endpoints. They must also understand and govern the growing population of non-human identities, delegated access relationships, automated services, application integrations, and AI agents operating inside their digital environments.
At the same time, recent red-team findings referenced by CISA demonstrate how devastating identity and access weaknesses can become. In two organizational assessments, attackers were reportedly able to achieve extensive compromise across Active Directory, cloud environments, and business systems. Yet the difference between the organizations was not simply whether an attacker gained access. The critical difference was whether the organization could detect, investigate, and contain the intrusion quickly.
Together, these findings reveal a major shift in cybersecurity.
The future attack path may not begin with malware.
It may begin with trust.
Original Summary: Identity Compromise Is No Longer an Isolated Security Problem
The original report focuses on
These risks include compromised identities, delegated SaaS permissions, cross-application access, and emerging agentic AI systems.
The idea behind this approach is straightforward but important. A modern organization does not operate through a single authentication system or a single application. Instead, it contains a complex ecosystem of employees, administrators, cloud services, SaaS platforms, APIs, OAuth tokens, service accounts, automated workflows, machine identities, and increasingly autonomous AI agents.
Each connection can create trust.
Each trust relationship can create access.
And each access relationship can potentially become an attack path.
The report emphasizes policy control and non-human identity governance as critical defensive priorities. This is particularly relevant as organizations deploy AI systems capable of interacting with enterprise applications and making automated decisions.
The cybersecurity discussion was accompanied by another significant warning involving red-team assessments. The referenced CISA findings identified weaknesses involving Active Directory Certificate Services, Machine Account Quota settings, excessive permissions, exposed credentials, and weak token controls.
These weaknesses demonstrate that organizations can be compromised not only through sophisticated zero-day vulnerabilities, but also through ordinary identity infrastructure that has been poorly configured, insufficiently monitored, or granted excessive trust.
The Expanding Identity Attack Surface: Every Connection Creates a Potential Path
The traditional security model often imagined an organization as a castle.
Users were inside.
Attackers were outside.
Security tools guarded the gate.
That model no longer reflects reality.
Today’s enterprise environment is distributed across cloud providers, SaaS applications, remote employees, mobile devices, external contractors, APIs, automation systems, and AI platforms.
An employee may authenticate through a cloud identity provider and then access dozens of services.
A SaaS application may receive permission to read files, calendars, emails, customer information, or business documents.
A service account may connect multiple systems together without a human user being present.
An AI agent may receive delegated access to search information, summarize documents, create tickets, send messages, or trigger automated workflows.
The result is an enormous web of permissions.
The security challenge is no longer simply determining who has access.
Organizations must understand:
Who has access?
What does that identity have permission to do?
Which applications trust that identity?
Which systems can it reach indirectly?
Can the permissions be delegated?
Can a token be stolen and reused?
Can an automated system act without human approval?
And if an identity is compromised, how far can an attacker travel through the trust graph?
This is why the concept of a unified trust graph is becoming increasingly important.
Delegated SaaS Access: The Permission That Security Teams May Forget
Delegated access is one of the most convenient features of the modern cloud ecosystem.
It is also one of the easiest areas to underestimate.
Users frequently authorize third-party applications to access corporate resources.
A collaboration tool may request access to files.
A productivity application may request access to email.
An analytics platform may receive access to cloud storage.
An AI assistant may request permission to search organizational documents.
The user may see a simple approval screen and click Allow.
Behind that single action, however, a persistent trust relationship may be created.
OAuth tokens, API permissions, refresh tokens, application grants, and delegated privileges can remain active long after the user forgets about the integration.
This creates an important security problem.
Changing a password may not always remove every path of access.
A compromised token or improperly governed application can potentially maintain access independently of the original login session, depending on how the environment and authorization model are configured.
Security teams therefore need to move beyond password-focused thinking.
They need to understand the full lifecycle of authorization.
Non-Human Identities: The Fastest Growing Population Inside Enterprise Networks
Human identities are easy to understand.
They belong to employees, administrators, contractors, and partners.
Non-human identities are more complicated.
They include service accounts, application identities, API keys, certificates, automation bots, workload identities, cloud roles, secrets, machine accounts, and AI agents.
These identities may never appear in a traditional employee directory.
Some may be created automatically.
Others may be deployed by developers.
Some may exist temporarily.
Others may remain active for years.
The biggest problem is visibility.
An organization may know exactly how many employees it has.
It may not know how many machine identities have access to production systems.
A forgotten service account can become a security liability.
An API key embedded in an old application can become a hidden backdoor.
A cloud workload identity with excessive permissions can become an escalation path.
An AI agent with broad delegated access can become a powerful intermediary between an attacker and sensitive enterprise resources.
The attack surface is therefore expanding faster than traditional identity governance processes.
Agentic AI Changes the Meaning of Access
AI assistants are already changing how people interact with information.
Agentic systems could take that transformation further.
Instead of simply answering questions, an agent may be designed to perform actions.
It could search internal systems.
It could retrieve documents.
It could update records.
It could communicate with external services.
It could execute multi-step workflows.
This creates enormous opportunities for productivity.
It also introduces a new category of identity risk.
If an AI agent has access to sensitive systems, the agent effectively becomes another operational identity.
The question is not whether the agent is intelligent.
The question is what the agent is authorized to do.
A highly capable AI system with minimal permissions may present a manageable security profile.
A moderately capable AI system with unrestricted access to multiple business applications could become significantly more dangerous.
The security principle remains the same.
Capability without privilege is limited.
Capability combined with excessive privilege creates risk.
This is why governance for AI agents cannot be treated as a future project.
For organizations already integrating autonomous or semi-autonomous systems into business workflows, identity governance must evolve at the same speed as AI deployment.
Cross-Application Access Can Create Invisible Attack Chains
One compromised account does not necessarily mean one compromised system.
In a connected enterprise environment, access can propagate.
An attacker may begin with a phishing attack.
The stolen credentials may provide access to a cloud identity.
That identity may have access to email.
Email may contain authentication links, business documents, passwords, API credentials, or information useful for further attacks.
The same user may have delegated permissions to third-party applications.
Those applications may have access to cloud storage or internal data.
A compromised administrator account could potentially expand the attack even further.
This is why security teams need to think in attack paths rather than isolated systems.
The important question is not simply:
Can this account access System A?
The more important question is:
If this identity is compromised, what can the attacker reach next?
A trust graph can help visualize those relationships.
It can reveal indirect access paths that may not be obvious when security tools analyze systems individually.
CISA Red-Team Lessons: Compromise Is Only Half of the Story
The referenced red-team findings provide another critical lesson.
Two organizations can have serious weaknesses.
Both can experience extensive compromise.
Yet their final outcomes can be very different.
The difference may be detection and response.
An organization that identifies suspicious behavior quickly can isolate systems, revoke sessions, disable compromised accounts, and investigate the intrusion.
Another organization may allow the attacker to continue operating for much longer.
That time difference can determine the scale of the incident.
Attackers need time to explore.
They need time to discover systems.
They need time to collect credentials.
They need time to move laterally.
They need time to establish persistence.
They need time to reach valuable data.
Every minute of attacker dwell time can increase the potential damage.
This means prevention is not enough.
Organizations must assume that some defensive controls will eventually fail.
The ability to detect abnormal identity behavior may become the difference between a contained intrusion and a business-wide compromise.
Active Directory Certificate Services: A Powerful Infrastructure Component With Serious Security Implications
Active Directory Certificate Services can provide critical identity and certificate management capabilities inside enterprise environments.
However, poorly configured certificate services can also introduce dangerous privilege escalation opportunities.
Certificate-based authentication can be extremely powerful.
If attackers can abuse certificate templates, enrollment permissions, or authentication configurations, they may be able to obtain credentials or certificates that provide elevated access.
The security challenge is that certificate infrastructure can sometimes receive less attention than passwords or traditional authentication systems.
This is a mistake.
Certificates can represent identity.
And anything capable of representing identity deserves the same level of protection as privileged credentials.
Organizations should therefore maintain visibility into certificate templates, enrollment permissions, certificate issuance, privileged authentication paths, and unusual certificate activity.
Machine Account Quotas: Small Settings Can Create Large Security Consequences
Machine Account Quota settings are another example of how relatively ordinary Active Directory configurations can become relevant during an attack.
If attackers gain access to a legitimate domain account, certain directory configurations may allow them to create or manipulate computer accounts under specific conditions.
These capabilities can potentially support additional attack techniques depending on the broader Active Directory environment.
The important lesson is not that every configuration automatically represents a vulnerability.
The lesson is that identity infrastructure should be continuously reviewed from an attacker’s perspective.
Security teams must ask:
What can an ordinary user create?
What permissions can they assign?
What objects can they modify?
Can those actions be chained together?
Can a low-privileged identity eventually reach a privileged system?
Cybersecurity failures often emerge from combinations of individually overlooked permissions.
Excessive Permissions: Convenience Eventually Becomes an Attack Surface
Excessive permissions remain one of the oldest cybersecurity problems.
They are also one of the most persistent.
An employee changes roles but keeps old access.
A contractor completes a project but the account remains active.
A service account receives administrator privileges because troubleshooting was easier.
A cloud application receives broad access because granular permissions required additional work.
Over time, permissions accumulate.
The environment becomes more convenient.
It also becomes more dangerous.
Least privilege is not simply a compliance concept.
It is an attack containment strategy.
If an attacker compromises an identity with limited permissions, the blast radius may remain relatively small.
If the attacker compromises an identity with broad administrative access, the consequences can be dramatically different.
Permission management therefore needs to become continuous rather than occasional.
Exposed Credentials: The Attack Vector That Refuses to Disappear
Despite major advances in cybersecurity, exposed credentials remain one of the most effective attack opportunities.
Credentials can appear in source code repositories.
They can be stored in scripts.
They can be exposed in configuration files.
They can be accidentally shared through collaboration platforms.
They can be stolen through phishing.
They can be extracted from compromised systems.
And they can remain valid long after employees believe they are no longer being used.
The modern enterprise must therefore treat credentials as temporary and continuously monitored assets.
Secrets should not become permanent infrastructure.
Keys should rotate.
Tokens should expire.
Access should be reviewed.
Suspicious use should trigger investigation.
A credential that never changes eventually becomes a liability waiting to be discovered.
Weak Token Controls Can Allow Attackers to Bypass Traditional Password Defenses
The increasing use of cloud authentication means passwords are no longer the only credential that matters.
Session tokens and refresh tokens can represent active authentication.
If an attacker steals a valid token, the attacker may be able to impersonate the session until the token is revoked or expires, depending on the security architecture.
This changes incident response.
Resetting a password may not always be sufficient.
Organizations may need to revoke active sessions, invalidate refresh tokens, review OAuth grants, and investigate persistent application access.
Identity security must therefore include session security.
Authentication is not a single event.
It is a lifecycle.
From the moment credentials are entered to the moment tokens expire, every stage creates a potential security control point.
Detection Speed Is Becoming a Core Security Metric
Cybersecurity programs often measure blocked attacks.
That is useful.
But organizations should also measure detection speed.
How quickly can the organization identify a compromised identity?
How quickly can analysts determine what systems were accessed?
How quickly can privileged sessions be revoked?
How quickly can suspicious tokens be invalidated?
How quickly can lateral movement be contained?
A mature security operation should not assume perfect prevention.
Instead, it should focus on reducing attacker opportunity.
The faster an organization detects abnormal activity, the less time an attacker has to transform initial access into full compromise.
This is where identity telemetry becomes essential.
Authentication logs, privilege changes, application consent events, token activity, certificate issuance, cloud role assignments, and unusual API behavior can all contribute to early detection.
Policy Control Must Follow the Identity Everywhere
Traditional security policies were often attached to devices or network locations.
Modern identity environments require policies that follow the identity.
The same user may authenticate from different devices.
The same workload may operate across multiple cloud environments.
The same application may interact with dozens of SaaS services.
The same AI agent may perform tasks across several business platforms.
Policy enforcement therefore needs context.
Who is requesting access?
What identity is being used?
What device or workload is involved?
What application is requesting the action?
What data is being accessed?
Is the behavior normal?
Is the request occurring from an expected environment?
Has the identity recently changed privileges?
Context-aware security is becoming essential because the traditional perimeter is disappearing.
The Human Identity Is No Longer the Only Identity That Matters
One of the most important conclusions from the CYFIRMA analysis is the growing importance of non-human identity governance.
This category will likely become significantly more important as AI and automation expand.
A future enterprise could contain thousands or millions of identities that do not belong to employees.
Some will be temporary workloads.
Some will be automated processes.
Some will be AI agents.
Some will represent devices.
Some will connect external applications.
Managing this environment manually will become increasingly difficult.
Organizations will need automated identity discovery, lifecycle management, behavioral monitoring, and policy enforcement.
The cybersecurity industry is moving toward a future where identity security and infrastructure security are becoming deeply interconnected.
What Undercode Say:
The biggest lesson from this cybersecurity discussion is that organizations are building digital environments faster than they are building trust controls.
Identity has become the operating system of the modern enterprise.
Every SaaS integration adds another relationship.
Every OAuth approval creates another trust decision.
Every service account creates another potential attack surface.
Every API key represents an identity in disguise.
Every cloud workload can carry permissions.
Every AI agent may eventually become a digital employee with machine-speed access.
The danger is not only a stolen password.
The danger is the chain reaction that follows.
Attackers increasingly look for the shortest path to privilege.
A compromised account is only the starting point.
The real objective is discovering what that account trusts.
This is why a trust graph is a powerful concept.
Security teams need to visualize relationships, not just assets.
They need to identify hidden paths between users, applications, cloud roles, certificates, tokens, and automated systems.
An identity should not be analyzed as a single object.
It should be analyzed as a node inside a much larger ecosystem.
The same principle applies to AI agents.
Organizations are currently rushing to deploy AI because productivity gains are difficult to ignore.
But every AI agent connected to enterprise systems raises a new governance question.
Who controls the agent?
What permissions does it possess?
Can those permissions be reduced?
Can the agent perform destructive actions?
Can an attacker manipulate the agent through malicious instructions?
Can its actions be audited?
Can its access be revoked immediately?
The cybersecurity industry should avoid repeating the mistakes made during the rapid adoption of cloud computing.
Convenience should not come before visibility.
The CISA red-team lessons reinforce another uncomfortable truth.
A determined attacker may eventually find a way inside.
The difference between organizations may depend on what happens next.
One organization detects the abnormal activity.
Another organization discovers the intrusion after the attacker has already reached critical systems.
Detection and containment are therefore not secondary capabilities.
They are part of the primary defense.
The most dangerous environments are not necessarily those with the largest number of vulnerabilities.
They are the environments where no one understands the relationship between those vulnerabilities.
A weak credential alone may appear manageable.
Excessive permissions alone may appear manageable.
A forgotten OAuth application may appear manageable.
A misconfigured certificate service may appear manageable.
But attackers do not analyze weaknesses separately.
They chain them.
That is the strategic advantage defenders must understand.
Cybersecurity teams must begin asking not only, What is vulnerable?
They must also ask, What can be reached from here?
The future of enterprise defense will increasingly depend on reducing unnecessary trust.
Zero Trust must become more than a marketing phrase.
It must influence identity architecture.
Access should be limited.
Sessions should be monitored.
Tokens should expire.
Permissions should be reviewed.
Machine identities should be discovered.
AI agents should be governed.
And privileged access should never become invisible simply because no human user is involved.
The organizations that succeed will not necessarily be those that deploy the most security products.
They will be the organizations that understand their own trust relationships better than attackers do.
Deep Analysis: Mapping the Identity Attack Path With Defensive Commands
A practical identity security review should begin with visibility.
Security teams need to identify accounts, privileged groups, service identities, suspicious authentication activity, and exposed secrets.
The following commands are examples for authorized administrators and security teams conducting defensive audits.
Enumerating Local and Domain Identity Information
On a Linux system connected to an enterprise environment, administrators can review local accounts:
cat /etc/passwd
Security teams can identify accounts with login shells:
awk -F: '$7 !~ /nologin|false/ {print $1, $7}' /etc/passwd
Administrators using Active Directory environments can review domain information with authorized tools:
Get-ADUser -Filter -Properties Enabled | Select-Object Name,SamAccountName,Enabled
Reviewing Privileged Group Membership
Security teams should regularly inspect privileged groups:
Get-ADGroupMember -Identity "Domain Admins"
They can also review additional privileged groups:
Get-ADGroupMember -Identity "Enterprise Admins"
Unexpected accounts should be investigated before changes are made.
Identifying Recently Changed Accounts
Security teams can review recently modified directory objects:
Get-ADUser -Filter -Properties whenChanged | Sort-Object whenChanged -Descending
This can help analysts identify unusual account changes during an incident investigation.
Auditing Service Accounts
Organizations should search for accounts configured with service principal names:
Get-ADUser -Filter {ServicePrincipalName -like ""} -Properties ServicePrincipalName
These accounts should be reviewed for unnecessary privileges and outdated configurations.
Checking Active Directory Certificate Services
Authorized administrators can enumerate certificate authorities:
certutil -config - -ping
Certificate templates can also be reviewed:
certutil -catemplates
The goal is to identify templates, permissions, and enrollment configurations that require security review.
Monitoring Authentication Events
On Linux systems using system logs:
journalctl -u ssh --since "24 hours ago"
Failed authentication activity can be reviewed:
grep "Failed password" /var/log/auth.log
Repeated failures, unusual source addresses, and authentication attempts outside normal operating patterns should be investigated.
Searching for Potentially Exposed Secrets
Security teams can scan authorized repositories and directories for common credential patterns:
grep -RniE "password|api[_-]?key|secret|token" /path/to/authorized/project
This should only be performed against systems and repositories the organization owns or is authorized to assess.
Reviewing OAuth and Application Access
Cloud administrators should regularly review application registrations, delegated permissions, and service principals.
For Microsoft Entra environments, authorized administrators can use administrative tools and APIs to identify applications with powerful permissions and investigate unexpected consent events.
The objective is simple.
If an application has access to sensitive data, the organization must know why that access exists and whether it is still necessary.
Monitoring Active Sessions and Processes
Linux administrators can review active sessions:
who
They can also inspect currently running processes:
ps aux --sort=-%cpu
Unexpected processes should be correlated with authentication activity, network connections, and administrative changes.
Reviewing Network Connections
Security teams can inspect active connections:
ss -tulpn
During incident response, unusual outbound connections should be correlated with the identity and process responsible for the activity.
A Defensive Identity Security Workflow
The most effective process is continuous.
Discover identities.
Classify permissions.
Map relationships.
Remove unnecessary access.
Rotate exposed secrets.
Monitor authentication.
Investigate unusual behavior.
Revoke compromised sessions.
Review delegated application permissions.
Govern AI agents as operational identities.
Then repeat the process.
Identity security cannot be treated as a one-time audit because the environment itself is constantly changing.
Why Trust Graphs Could Become a Major Security Technology
A trust graph can potentially provide a more realistic picture of the enterprise.
Instead of listing isolated assets, it connects relationships.
User A can access Application B.
Application B can access Data Store C.
Service Account D manages System E.
AI Agent F has delegated access to Application B.
Administrator G can modify permissions for User A.
An attacker who compromises one node may attempt to travel through the graph.
The defensive advantage comes from understanding those possible routes before an incident occurs.
This approach can help organizations prioritize remediation.
A vulnerability connected to a high-value privilege path may deserve more attention than a technically severe issue with no realistic path to sensitive systems.
Risk is therefore not only about the vulnerability.
Risk is also about connectivity.
The Security Industry Must Prepare for AI Identity Governance
AI agents will increasingly require identities.
Those identities will require permissions.
Those permissions will need governance.
This creates a new operational challenge.
Organizations will need to distinguish between the identity of the human requesting an action and the identity of the AI system performing it.
They may also need to record why the agent performed an action, what data it accessed, and which permissions enabled the task.
Auditability will become essential.
Without detailed records, incident response involving autonomous systems could become extremely difficult.
The enterprise must therefore begin building AI governance around established security principles.
Least privilege.
Strong authentication.
Segmentation.
Logging.
Monitoring.
Revocation.
Human approval for high-impact actions.
These principles are not obsolete because AI is new.
They are becoming more important.
✅ The core cybersecurity risks described, including identity compromise, excessive permissions, exposed credentials, delegated application access, and weak token governance, are established categories of enterprise security concern.
✅ The referenced discussion accurately reflects the importance of monitoring Active Directory, cloud identity environments, certificates, permissions, and authentication activity as interconnected security layers.
❌ A complete compromise of one identity does not automatically mean every connected SaaS application, cloud service, or business system has been compromised, because the outcome depends on permissions, segmentation, monitoring, and available attack paths.
Prediction
(+1) Identity security will become one of the fastest-growing priorities in enterprise cybersecurity as organizations deploy more SaaS integrations, automated workloads, non-human identities, and AI agents.
Security platforms will increasingly adopt graph-based models to identify hidden relationships between users, applications, cloud roles, tokens, certificates, and machine identities.
Organizations that implement strong least-privilege controls and continuous identity monitoring will be better positioned to contain compromises before attackers reach critical systems.
Enterprises that deploy powerful AI agents with excessive or poorly documented permissions may create new high-speed pathways for attackers, data exposure, and unauthorized automation.
The Final Warning: Trust Must Become a Defended Asset
The cybersecurity landscape is changing because enterprise technology is changing.
The number of systems is growing.
The number of connections is growing.
The number of identities is growing.
And increasingly, many of those identities are not human.
CYFIRMA’s trust-graph perspective highlights an important reality for the years ahead.
Security teams cannot protect what they cannot see.
They cannot govern access they do not understand.
And they cannot contain an identity-based attack if they do not know where that identity can travel.
The next major enterprise compromise may not begin with a dramatic exploit.
It may begin with a trusted account.
A forgotten application.
An exposed token.
An overprivileged service identity.
Or an AI agent that was given more access than anyone realized.
The strongest defense will therefore be built around visibility, least privilege, continuous monitoring, and the ability to understand trust before an attacker learns how to abuse it.
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