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From Lessons Learned in 2025 to Next-Gen PAM Strategies in 2026
Every year, hackers knock, and breaches respond; 2025 was no different.
In 2025, many companies found themselves vulnerable to security factors that were overlooked. Unmanaged PAM for non-human identities (NHIs), uncontrolled third-party access, and blind spots increased security risks and widened the attack surface.
Poor privilege management made these attacks even worse, allowing attackers to move easily through systems. These failures reinforced a critical lesson:
Incomplete PAM Frameworks Can Increase Security Risks
While PAM adoption increased, many organisations were unable to achieve full implementation because of integration challenges and reliance on legacy infrastructure.
Furthermore, gaps in privilege visibility, lifecycle management, and real-time session monitoring can significantly increase the problem.
In this blog, we discuss 2025 security lessons that have direct or indirect implications for PAM and look ahead to the 2026 PAM roadmap.
What Went Wrong in 2025: PAM Security Gaps
1. Excessive Privileges Enabled Lateral Movement
Verizon’s 2025 Data Breach Investigations Report (DBIR) highlighted credential abuse as one of the top methods that cybercriminals used to gain access to enterprise systems. Attackers stole user login data through phishing or prior breaches and used them to gain network access. Once inside, they often escalated their privileges and illegitimately achieved elevated access to critical networks.
The report noted that this escalation was easier when Identity and Access Management (IAM) roles were overly broad or poorly managed.
One clear example of credential abuse from 2025 is the PowerSchool breach.
To prevent security breaches powered by lost or stolen credentials, organisations needed to enforce least privilege, granting users access only to what they needed for their jobs.
This included
- Regular access reviews
- Implementing just-in-time access
- Enabling multi-factor authentication
- Setting clear, restrictive roles
2. Expansion in Cloud Attack Surfaces
In 2025, the fast growth of cloud services made a few companies more vulnerable to attacks than others. Public-facing assets, APIs, and connected services gave attackers more ways to break in. The risk grew even further as AI workloads and poorly secured identities were added.
Attackers took advantage of these cloud weaknesses to gain higher access, move easily between systems, and steal sensitive data. In several cases, attackers bypassed traditional security measures because organisations maintained weak cloud-specific PAM controls.
One example is the Oracle Cloud IAM breach that happened in 2025. Attackers stole 6 million records, including passwords, keystores, and access keys for 140,000+ tenants.
These weak spots illustrate the importance of PAM controls for securing both clouds, including IAM roles, API keys, and cloud session monitoring.
Organisations can improve security by granting the minimum necessary access, ensuring strong login checks for cloud services, and regularly reviewing and updating who has access to what.
3. Exploding Non-Human Identities
The attack surface had grown to include non-human identities (NHIs) in 2025. These are automated accounts, bots, or service accounts that carry out tasks without a human operator yet still hold exploitable privileges.
Sometimes, companies over-privileged these identities, left them unmanaged, and spread them across cloud environments, CI/CD pipelines, collaboration platforms, and messaging tools. Hence, attackers used the vulnerabilities
to move laterally and steal data.
The solution to this problem is strong PAM lifecycle management.
That means, companies should:
- Carefully grant/revoke privileged access when it is needed.
- Monitor and review access regularly.
4. The Rise of Automated Threats
In 2025, cybercriminals increasingly used AI to scale attacks, making them faster, more convincing, and accessible even for less technically skilled actors.
Privileged accounts are prime targets for AI-driven attacks. If compromised, these accounts allow attackers to bypass standard protections like passwords.
Gartner predicts that by 2027, AI agents could cut the time required to exploit account vulnerabilities. AI tools could allow cybercriminals to target weak or exposed accounts twice as fast as they do today.
Attacks are now faster and automated. AI tools created phishing emails, fake documents, deepfake videos, and voice-cloned calls. This allowed attackers to automate social engineering and steal credentials faster than ever. Now, companies need real -time, and strong proactive defences, not just traditional detection.
5. Risks Based on Third-Party Vendors
On average, about 20 external parties (such as vendors, contractors, or service providers) were granted privileged access, according to the industry reports in 2025.
A major tech company highlighted a worrying trend: attackers had increasingly exploited trusted third-party relationships to gain unauthorised access to critical systems.
Many vendor accounts had persistent, high-level access, often without restrictions or expiration dates. This excessive access significantly increased the risk of data breaches or misuse.
To address these gaps, organisations must adopt Next-Gen PAM solutions, leveraging cloud-native technologies and AI for enhanced security.
Next-Gen PAM: Leveraging Cloud-Native Solutions and AI for Enhanced Security
Cloud Native PAM Solutions
Cloud-native PAM solutions offer a modern and scalable way to secure privileged identities in cloud environments.
Unlike on-premises access security systems, they integrate with AWS IAM, and Google Cloud IAM. This enables centralised access control across hybrid and multi-cloud environments.
By using cloud-powered analytics and machine learning, the PAM solutions can detect suspicious activity in real-time. They also reduce operational workload and improve security.
Integration of AI and Machine Learning in PAM Solutions
Modern PAM solutions are now using AI and machine learning to make security smarter and easier to manage. Traditional systems rely on manual checks, which can miss unusual activity. With AI, PAM can spot anomalous login activity, unusual data access, or suspicious behaviour in real time. This helps organisations reduce risk and focus on strategic priorities.
AI-driven PAM can automate access approvals and enforce just-in-time (JIT) access. It can also adjust permissions based on risk and context. This reduces human error and speeds up operations. It also protects sensitive systems without increasing administrative burden.
According to the Gartner Magic Quadrant for PAM, modern platforms are shifting towards intelligent, adaptive controls powered by AI and predictive analytics, particularly in hybrid and cloud environments.
Now, let’s explore the roadmap for 2026 and the key steps organisations need to take to strengthen their PAM strategies in future.
The Practical Roadmap for 2026: Applying Lessons Learned from 2025
As we move further into 2026, organisations must reflect on the lessons learned from 2025 to improve their PAM strategies along with a more adaptive approach to manage privileged access.
Here is a roadmap for 2026 based on key lessons learned:
1. Reflect on 2025: The Year of AI and Automation
The security failures from 2025 show that proactive PAM solutions are essential for tackling new threats. However, automation should be balanced with human oversight, especially when making sensitive access decisions.
2. Prioritise Real-Time Threat Detection
Lessons learned in 2025 emphasised that static policies failed to address the speed of attacks. For 2026, companies must integrate real-time, AI-powered threat detection into their PAM systems to quickly respond to potential breaches.
3. Secure the Expanding Attack Surface
The highlights from 2025 demonstrate that the attack surface continues to expand with the adoption of cloud services and remote work. Organisations must extend PAM controls to secure cloud environments, third-party access, and non-human identities.
4. Embrace Adaptive Access Controls
In 2026, companies should move to dynamic, context-based access controls, giving privileged access based on real-time risk assessments.
5. Continuous Learning and Adaptation
The security landscape is constantly changing. The events of 2025 highlight the need for continuous learning. In 2026, organisations must create feedback loops to regularly update their PAM strategies based on new threats and business needs.
6. Collaboration and Shared Knowledge
Collaboration has been a core lesson learned. Industry partnerships and information sharing can provide valuable insights. Companies should consider joining cybersecurity consortiums and information-sharing initiatives in 2026 to stay ahead of emerging threats.
Conclusion:
The lessons from 2025 highlight the need for a strong, adaptable PAM strategy to protect companies from growing threats. As cybercriminals continue to target stolen credentials, cloud vulnerabilities, and non-human identities, businesses need to focus on next-gen PAM solutions.
In 2026, organisations must adopt proactive PAM strategies. These strategies should address the expanding attack surface, improve threat detection, and enable flexible access controls.
By applying lessons learned from 2025, businesses can better safeguard sensitive data, reduce risks, and strengthen overall security.
Now is the time to improve your PAM strategy to ensure a safer, and more secure future.
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- © 2026 Sectona Technologies Private Limited. All rights reserved. All trademarks held by their respective owners.
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