Cyberattacks have shown that threat actors are cunning and relentless, targeting every level of your enterprise. Additionally, securing AI is a significant challenge. Organizations must ensure their information is safe from malicious attacks, inadvertent disclosure, or theft.

Why use data security and governance

Built in protection

Benefit from information protection and governance capabilities built into Microsoft 365 apps and services, Fabric, the Edge browsers and Window devices.

Unified management

Configure and manage policies and view analytics across your on-premises environment, Microsoft 365 apps and services, non-Microsoft cloud services , and devices – all from a single console.

Intelligent data

Accurately identify sensitive information across your enterprise with comprehensive classification capabilities, including machine learning and AI.

Secure AI

Protect sensitive data in user prompts and AI-generated data. Defend against emerging threats like prompt injections and identify potential malicious or inadvertent insider risks, such as IP theft and data leakage. Ensure that AI interactions comply with regulatory requirements and manage the risks associated with shadow AI.

Data security is critical for strong cybersecurity

$15.4 M

Cost

The total average cost of activities to resolve insider threats over a 12-month period

83%

Data security incidents

The percent of organizations that experience more than one data breach in their lifetime.

80%

Organizations

The percent of decision makers who purchased multiple products to meet compliance and data protection needs

Source:
Microsoft Data Security Index report
‍³First Annual Generative AI Study:Business Rewards vs. Security Risks,
Q3 2023, ISMG, N=400

But securing data is complex and multi-faceted

Different types of data, users, and objectives

AI transformation brings new data risk

Regulations continue to evolve

Data security incidents can happen anytime, anywhere

Data at risk of misuse if organization has no visibility into their data estate

External Risks

User falls prey to phishing attack, compromises user credentials
‍

Data compromise by external threat

Internal Risks

User copies file to a USB, then uploads to a personal Dropbox to take to a competitor

Data theft by malicious insider

User negligently shares sensitive data in generative AI apps
‍

Data leak by negligent insider

User deletes sensitive information before leaving the organization
‍

Data sabotage by disgruntled insider

Top security and governance concerns about Generative AI

Data oversharing and data leaks

of leaders cited leakage of sensitive data as their main concern.

Identification of risky AI use

of security leaders cited that the identification of risky users based on queries into AI was one of the top AI controls they want to implement.

AI governance and risk visibility

Want to feel more confident about managing and discovering data input into AI apps and tools.

1. First Annual Generative AI study:Business Rewards vs. Security Risks, Q3 2023, ISMG, N=400
2. Microsoft data security index 2024 report

Solutions – Data Security & Governance

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Data Security & Governance – Customer Roadmap

Invoke combines tightly coupled security controls and digital productivity solutions.

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Invoke’s system integration solutions maximizes your Microsoft investments through exclusive programs, expert access, cost optimization, proven methodologies, and industry expertise.

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Data Security & Governance