Currently enterprise Cyber Security strategy with AI has become a game changer, reshaping is critical for both threat and defense. Embracing Gen AI for a robust defensive system empowers organizations to analyze vast amount of data is key requirement for enterprise security where software development is key to enterprise security , embracing ‘security by design’.

In 2024-2025, we have witnessed how mainstream enterprise deployment of AI has changed the strategic cyber security requirement. Thereby creating a strong defense mechanism around enterprise security, redefining the threat landscape and shaping software development.

AI is changing the way we look at products being a risk multiplier. How organization balancing innovation with protection?

AI can track and break commonly used passwords within minutes. So this is scary as more powers are in the hands of hackers, on the other side AI can improve password security again a boon. The Dark Web is already selling Fraud GPT and Worm GPT.

For Organizational cyber security strategy AI is being used now to tackle threats and cyber defense. Again AI has the capability to accelerate the speed of cyber attacks.

So what are leaders deciding when chasing AI based products. The way leaders are looking at products is products that give practical and actionable outlook and being embedded in delivery workflows.

Strategically, this means evolving away from rigid, checkbox-based compliance toward dynamic, adaptive security models that reflect how modern teams really build software—especially in AI-accelerated environments.

As per statistics 2025 witnessed the following AI based cyber attacks.16% of all breaches in 2025 involved attackers using AI. (IBM),and other AI attacks included 37% used phishing attacks and 35% used deepfake attacks. (IBM). 63% of breached organizations had no AI governance policy or were still developing one, highlighting the governance gap around AI adoption (IBM).

OpenText has released their survey and the report entails, AI is rapidly changing the threat landscape for organizations . Organizations are navigating a high-stake balancing act to enable innovation while managing risk.

Here are the key findings

Top AI-related concerns among respondents include data leakage (29%), AI-enabled attacks (27%), and deepfakes (16%).

95% of respondents are confident in their ability to recover from a ransomware attack, but only 15% of those attacked fully recovered their data.

88% allow employees to use GenAI tools, yet less than half (48%) have a formal AI use policy.

Enterprises lead AI governance (52%) compared to SMBs (43%) by having a formal AI policy in place.

52% report increased phishing or ransomware due to AI; 44% have seen deepfake-style impersonation attempts.

Surge in AI Threats via sophisticated attacks

One of the reasons cited by threat researchers is organizations are embracing GenAI, allowing employees to use generative AI tools and few less then 50% have a formal AI-use or data privacy policy in place, the report noted.

This is added with hackers innovative way in tricking using AI, bypassing any defense mechanism which is traditional. 

AI tools are now being used to create such convincing phishing emails, fake websites and even deepfake videos to injecting malicious code giving leverage to cyber criminals

In the last few months we witnessed how Ransomware attacks round the world surged and quite complex in nature as third-party service providers or software supply chains were prime targets. The Qantas airline breach and M&S data beach that hit UK’s top retail brand.

While Qantas did not to Information Age whether AI voice deepfakes were used in the breach, the cybercrime group experts believe may be linked to the hack — dubbed ‘Scattered Spider’ — has a track record of using voice-based phishing (or ‘vishing’) in its attacks. This is clear AI being used and surge is quite high in AI based cyber attacks.

AI for Cyber Defense for Organizational Cyber Security Strategy

It is not hackers who are benefiting but for Organizations it is a game changer as AI being used to detect attack at faster pace meaning mean time.

Findings of this survey reinforces that protecting against ransomware now depends not just on internal defenses, but also on how effectively organizations’, partners, and technology providers collaborate to close security gaps before they are exploited.

Key pointer for building pragmatic and strategic choices and this approach starts with embracing security by design approach in developmental life cycle.

• Continuously Embedding security in developer workflows keeping automating, scanning, policy enforcement and anomaly detection in tools used by developers.
• Cybersecurity AI tools are better at identifying patterns and anomalies in large datasets including vulnerabilities. teams have to highly prioritize and contextualize them in term of developing products.
• Supposedly there is an attack and the security tools not able to detect. So continuous testing is mandatory.
• Developers can favor simple solutions that favors pragmatic security patterns and transparency in architecture. In this way trust is developed with clients.

Few important developers keep in focus is to sponsor bug bounties, publish advisories using standards like the Common Security Advisory Framework (CSAF) and provide context on severity and exploitability.

Threat researcher suggest organizations who are building in products accept all vulnerability reports, investigate them, and fix the issues. Any critically important advisory to be used for root cause analysis to improve tools, training and various threat models. Developers are suggested to give feedback for external tools if they help them evolve. Understanding no software can ever be perfect.

Offerings from IntruceptLabs are exactly what you need to develop organizational cyber defense capabilities

Intru360

Intru360 gives security analysts and SOC managers a clear view across the organization, helping them fully understand the extent and context of an attack. It also simplifies workflows by automatically handling alerts, allowing for faster detection of both known and unknown threats.

Identify latest threats without having to purchase, implement, and oversee several solutions or find, hire, and manage a team security analyst. Unify latest threat intelligence and security technologies to prioritize the threats that pose the greatest risk to your company.

Here are some features we offer:

• Over 400 third-party and cloud integrations.
• More than 1,100 preconfigured correlation rules.
• Ready-to-use threat analytics, threat intelligence service feeds, and prioritization based on risk.
• Prebuilt playbooks and automated response capabilities.

(Sources: https://www.mckinsey.com/about-us/new-at-mckinsey-blog/ai-is-the-greatest-threat-and-defense-in-cybersecurity-today)

Sources: https://investors.opentext.com/press-releases/press-releases-details/2025/OpenText-Cybersecurity-2025-Global-Ransomware-Survey-Rising-Confidence-Meets-a-Growing-AI-Threat/default.aspx)