Organizations faster think that this is a great idea, even a full need, to integrate artificial intelligence in its operation. And these can be both. But many organizations do not understand the cyber security risks involved with AI, and they do not feel how untrained they are to secure their AI deployment.
Whether for internal productivity or customer-supporting innovations, AI-specifically can revolutionize generic AI-one business.
But if they are not safe, AI deployment may cause more problems than benefits. Without proper safety measures, AI can introduce weaknesses that open the door to cyber criminal rather than strengthening security.
AI adoption takes ahead with adoption safety
Hunger is undisputed for AI. According to the eye, 92% technology leaders expected to increase AI spending in 202510% increase in 2024. Agentic AI is emerging as a particularly transformative limit, 69% of technology leaders said their organizations need to remain competitive.
Unfortunately, organizations are not thinking about safety enough. The World Economic Forum (WEF) reports that 66% of organizations believe that AI will greatly affect cyber security In the next 12 months, but there are only 37% procedures to assess AI security before deployment. Small businesses are even more exposed – 69% decrease for safe AI perfection security measures, such as monitoring of training data or list of AI assets.
Accenture Finds similar intervals: 77% of organizations have a lack of basic data and AI security practices, and only 20% express confidence in their ability to secure AI models.
In practice, this means that most enterprises are hugging AI with very little assurance that their systems and data are really preserved.
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Why unsafe AI deployment is dangerous
Deploying AI without security can be a major compliance risk. In addition, it actively empowers cybratackers, which can take advantage of generative AI in many ways:
- AI-powered fishing and fraud. WeF notes that 47% of organizations see AI-Enabled Cyberattacks as their top concern. And for good reasons: 42% of organizations experienced social engineering attacks last year.
- Model manipulation. Executive has been highlighted how AI insects such as Morris II can embed malicious signals in models, AI assistants can kidnap data to exfiltrate data or spread spam.
- Deepfeck-Saksham Scam. Criminals used fast AI-rich voices, images and videos to cheat. One attack Italian Defense Minister replicated Along with explaining the voice deepfack, cheating on major business figures in wiring funds abroad.
AI reduces obstruction for entry for attackers, causing scam to rapid, cheaper and hard to find out.
Creation of security in AI from the beginning
If the organization wants to feel the full benefits of AI safely, they need to adopt the security-first mentality. After incidents, instead of rescue or after connecting several uneven equipment together, companies should seek basically integrated cyber security solutions from the beginning. With the solutions that are easy to manage with a central console and work together without manual integration, the organization can do:
- Embed safety in AI development pipelines. Safe coding, data encryption and adverse tests should be standard at every stage.
- Constant monitor and valid model. Organizations need to test the AI system for manipulation, data poisoning and other emerging risks.
- Unite cyber flexibility strategies. Security cannot be silenced. Defense should basically be integrated into Andpoints, Network, Cloud Environment and AI Workloads. This strategy reduces complexity and ensures that the attackers cannot take advantage of the weak link.
Both WEF and Accenture emphasize that organizations designed for the AI era are accompanied by integrated strategies and strong cyber security abilities.
Research of the Accenture suggests that only 10% of companies call “reinforcement-taiyar regions”, which combines mature cyber strategies with integrated monitoring, detection and reaction capabilities. The firms of that category are 69% less likely to experience AI-operated cyber attack than less prepared outfits.
Role of MSP and enterprises
For managed service providers (MSPS), AI Wave presents both a challenge and an opportunity. Customers will demand rapid AI-operated equipment, but they will also trust their MSP to keep them safe.
As Acronis Cyberthrates Report H1 2025Cyberattackers have increased their AI-competent attacks on MSPS. The H1 2025 had more than half of all of the attacks on MSPS, which were largely powered by AI capabilities.
Therefore, the MSP has to provide integrated security that spreads the cloud, endpoint and AI environment, ensuring that they can protect themselves and their customers.
For enterprises, the way forward is about balanced the ambition with caution. AI can promote efficiency, creativity and competition, but only if deployed responsibly.
Organizations should make AI security a board-level priority, setting up the outline of the clear regime, and should ensure that their cyber security teams are trained to address the emerging AI-managed threats.
The future of AI deployment is related to security
The generic AI is to live here, and it will only be more deeply embedded in business operations. But proceeding without securing these systems is like the construction of a skyscraper on the sand: the foundation is very weak to support the structure.
By adopting integrated, active safety measures and solutions, organization can use AI’s ability without raising ransomware, fraud and other developed hazards.
About True
Acronis Threat Research Unit (Tru) Danger is a team of cyber security experts specialized in intelligence, AI and risk management. The Tru team researches the emerging hazards, provides security insights, and supports IT teams with guidelines, reactions of event and educational workshops.
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