Insider risk governance: We will examine key research stats, the shifting tides, how these risks have evolved over the years and Movate’s response in today’s AI era.
83% of companies reported insider attacks in 2024, and CISOs are increasingly concerned about mushrooming threats in 2025. However, insider threats are more visible, complex, and strategically executed than ever before. They now take on a top priority at the cross-functional governance level.
Let’s look at some key stats.
| Employee misuse of AI tools: Over 4% of GenAI prompts and 20% of uploaded files exposed sensitive corporate data in Q2 2025. AXIOS | Only 14–15% of organizations report having the talent they need to meet cybersecurity objectives. WEF | 93% of respondents say insider threats are as complex or more challenging to detect than external cyberattacks. Cybersecurity Insiders |
| In 2025, up to 4.8 million roles remained unfilled, leaving many organizations without the necessary support. – Techopedia | ||
Key findings from the 2025 Insider Risk Report point out that insider threats have outpaced defenses, employee behavioural signals remain underutilized, lack of predictive analytics, risk amplification due to AI tools among other barriers such as…
Inadequate tools (71%) ~ Tight budgets (69%) ~ Privacy concerns (58%)
| The weakest link in enterprise defense | |
| Internal misuse | Compromised credentials |
| Human behavior | |
What has shifted now?
The terminology, approach and tools have witnessed a shift over the years.
| The terminology | The approach | The tools |
| “Insider threat” (implying malicious intent) has evolved to “insider risk” (including negligence, mistakes, or burnout). | Shifted from reactive investigations to continuous, risk-based governance. | Shifted from rule-based alerts to AI-driven, privacy-conscious platforms. |
Insider risks/threats have seen various developments over the years. Let’s go back in time to see how it’s evolved.
A chronology of developments
- 2025 and beyond
- Insider risk is now seen as a strategic business risk, not just a technical one.
- AI-powered platforms, context-aware risk scoring, and cross-functional governance are mainstream.
- Focus has shifted toward early detection, mitigation, and culture of trust + accountability.
- 2020–2024
- Cloud adoption, hybrid work, and BYOD made insider risk more complex.
- Insider risk expanded to include negligence, accidents, and third-party risks.
- AI/ML and behavior analytics started enabling more proactive detection.
- Privacy and ethics became central to insider risk programs.
- Shift from “threat hunting” to risk governance involving legal, HR, IT, and compliance.
- 2010–2019
- Growing awareness of data breaches caused by insiders (e.g., Snowden, Equifax data breach).
- Rise of Data Loss Prevention (DLP) and User Activity Monitoring (UAM) tools.
- Still reactive and siloed; limited context or behavioral understanding.
- 2010s and earlier
- Known as “insider threats”, focused mostly on malicious employees or spies.
- Security teams used perimeter defenses, access controls, and audit logs.
Insider risk is not a new concept in 2025, but how organizations understand, detect, and manage it has significantly evolved in recent years.
AI-powered insider risk platform
An AI-led platform brings intelligence, context, and automation to insider threat management—making it more proactive, accurate, and scalable. Use cases in action include:
| Spotting a phishing victim who is unintentionally leaking credentials. | Preventing accidental leaks from over-sharing via collaboration tools. |
| Identifying a contract employee misusing credentials to access customer data. | Proactively identifying a departing employee leaking trade secrets. |
Insider risks are more complex to detect than external threats because insiders often have authorized access, which makes their behavior appear ‘normal’ at a surface level.
Addressing this rising threat requires a new governance model, supported by an experienced and certified Managed Security Services Provider.
Movate’s partnership with Anzenna
Anzenna, a next-generation AI-powered insider risk platform, signals a significant stride in addressing pressing concerns for enterprise security leaders in today’s AI era.
Addressing this rising threat requires a new governance model. Movate is a certified MSSP for Anzenna, delivering 24/7 detection, response, and insider risk governance as a fully managed service.
| Current typical state of affairs | AI-powered value from an MSSP |
| – Siloed – Reactive – Dependent – Agent-based setups & slow performance – Erodes user trust | – Generative AI and LLMs to detect and prioritize insider threats. – Context-aware precision. – Autonomous or semi-autonomous responses. – No need for endpoint agents. |
The Movate-Anzenna partnership is redefining insider risk governance in the AI era.
Outsmart the insider threats
Movate’s Digital Infrastructure Services brings in cybersecurity depth and operational rigor to help CISOs operationalize trust and take meaningful action in real time.
| Reduced operational complexity | AI-enabled governance frameworks | Seamless transition from reactive controls to proactive state | Swift time-to-value |
At a large educational institution, Anzenna’s platform accelerated threat resolution by 40%, eliminated 228 risky applications via automated remediation, and secured a 20% increase in cybersecurity budget justification without expanding headcount.
Insider risk remediation as a service
Benefit from simplicity, scale and intelligence, not more tools. Movate-Anzenna partnership offers a first-of-its-kind model tailored to how modern enterprises consume security: integrated, contextual, and outcome-driven.
Learn how to integrate the lightweight agentless platform in your SOC. Act now to identify & mitigate threats.
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