By Tom Tovar, CEO of Appdome
Everyone knows the story of a frog placed in a pot of cold water. As the water heats up, the frog remains still until it’s too late. Today, the cyber function faces the same challenge as the frog, as the rest of the enterprise transitions to AI Native.
What is AI Native?
“AI Native” refers to organizations, teams, or functions that fully integrate artificial intelligence into core operations. Rather than treating AI as an add-on, these entities leverage AI as a foundational element of their business, execution, delivery, and decision-making. They operate with AI at their core, embedding it into every process for speed, automation, improved efficiency, and to reduce dependencies on human capital, and other resources.
The Enterprise-Wide Shift Towards AI Native
Across industries, enterprises are now shifting to an AI-Native approach. In 2025, key parts of the enterprise are moving beyond experimentation to complete restructuring. Departments, workflows, decision-making, and strategic planning are being reshaped around AI-driven automation and analysis for productivity. Key areas include:
- Software Development and Engineering: AI-powered coding assistants accelerate development, improve software quality, and streamline DevOps with automated testing and CI/CD processes.
- Marketing: AI-driven platforms analyze consumer behavior, enabling hyper-personalized campaigns and optimized ad spend.
- Customer Support & Experience: AI chatbots can handle customer service at scale, reducing dependence on humans.
- Fraud & Risk Management: AI enhances for fraud detection and risk modeling, quickly identifying anomalies and mitigating financial risks.
- Supply Chain and Logistics: AI predictive analytics optimize inventory while automating procurement and delivery.
- HR and Talent Management: AI streamlines recruitment, identifies top talent faster, and enhances workforce management.
The goal is clear: faster decision-making, increased efficiency, and minimized human error while maximizing value.
Cybersecurity Must Adapt…or Get Boiled Alive
Currently, cybersecurity teams focus on addressing the risks of AI adoption rather than embedding AI into their own cyber operations. This misalignment threatens their role as enterprises adopt AI-Native models at an accelerated pace. Without becoming AI-Native, the water will get too hot too fast. Cyber teams are falling behind as AI-Native organizations accelerate.
Why Cybersecurity Must Go AI-Native Now
Cybersecurity must go beyond AI-enhanced tools. Here are the top 5 reasons why the cyber teams need to go AI-Native:
- AI-Driven Threats Require AI-Driven Defense
Cybercriminals leapt into the AI boom to create highly sophisticated attacks, from deepfake-powered facial recognition bypasses to large-scale social engineering attacks at scale and autonomous malware evading detection. To counter these threats, organizations need an AI-Native defense that adapts, responds, and mitigates attacks in real time..
- Maintain Control of the Defense Lifecycle
An AI-Native approach automates the entire defense lifecycle, including defense delivery, compliance, threat identification, and incident response, as well as guiding end users through resolving an attack. Gone are the days when the cyber function and the security operation center (SOC) could rely on AI for threat detection, but still depend on manual processes to resolve threats. With AI-Native cybersecurity, teams can control automatically every aspect of defense, eliminating delays caused by dependencies on multiple departments and manual actions.
- Improve Decision-Making & Incident Response
Security leaders rely on multiple data sources, logs, and reports. AI-driven analytics provide deep insights and early warnings on emerging threats, along with benchmark comparisons and dynamic risk analysis. An AI-Native approach accelerates decision-making in incident response, automating defenses in real time before escalation.
- Eliminate Dependence on Other Departments
Many security teams are constrained by IT, engineering, and operations for critical tasks like threat modeling, infrastructure changes, and security tool integrations. With AI-Native defense, the cyber function can automate defense delivery independently of external teams. Now security teams can automate defense enforcement, reducing delays while accelerating security measures.
- Guarantee Business Protection and Revenue Security
As AI drives efficiency across enterprise functions, cybersecurity teams must keep up with rapid innovation. New applications, capabilities, revenue sources, threats, and vulnerabilities are evolving faster than ever. AI-Native security delivers continuous fraud prevention, automated security updates, and preemptive threat mitigation. With AI-Native, cyber and fraud defenses can be deployed instantly and ensure continuous defense.
Cyber’s Top Priority for 2025: Become AI Native.
Looking forward, CISOs and cybersecurity teams can no longer afford to see AI merely as a tool but must embrace AI as their foundation. Just as other enterprise functions use AI for speed, efficiency, and agility, cybersecurity must do the same – eliminating manual tasks, handoffs and learning curves.
With AI-Native, cyber teams use technology platforms to automate the entire defense lifecycle, ensuring readiness, reducing bottlenecks, and ensuring that security, ant-fraud and bot defense are delivered continuously. The future of cybersecurity isn’t just AI-aided — it’s AI-Native. Don’t be the cyber frog in the pot. The time to act is now.
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This entry was posted on February 26, 2025 at 8:59 am and is filed under Commentary with tags Appdome. You can follow any responses to this entry through the RSS 2.0 feed.
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Guest Post: Is Cyber a Frog in the AI-Native Pot?
By Tom Tovar, CEO of Appdome
Everyone knows the story of a frog placed in a pot of cold water. As the water heats up, the frog remains still until it’s too late. Today, the cyber function faces the same challenge as the frog, as the rest of the enterprise transitions to AI Native.
What is AI Native?
“AI Native” refers to organizations, teams, or functions that fully integrate artificial intelligence into core operations. Rather than treating AI as an add-on, these entities leverage AI as a foundational element of their business, execution, delivery, and decision-making. They operate with AI at their core, embedding it into every process for speed, automation, improved efficiency, and to reduce dependencies on human capital, and other resources.
The Enterprise-Wide Shift Towards AI Native
Across industries, enterprises are now shifting to an AI-Native approach. In 2025, key parts of the enterprise are moving beyond experimentation to complete restructuring. Departments, workflows, decision-making, and strategic planning are being reshaped around AI-driven automation and analysis for productivity. Key areas include:
The goal is clear: faster decision-making, increased efficiency, and minimized human error while maximizing value.
Cybersecurity Must Adapt…or Get Boiled Alive
Currently, cybersecurity teams focus on addressing the risks of AI adoption rather than embedding AI into their own cyber operations. This misalignment threatens their role as enterprises adopt AI-Native models at an accelerated pace. Without becoming AI-Native, the water will get too hot too fast. Cyber teams are falling behind as AI-Native organizations accelerate.
Why Cybersecurity Must Go AI-Native Now
Cybersecurity must go beyond AI-enhanced tools. Here are the top 5 reasons why the cyber teams need to go AI-Native:
Cybercriminals leapt into the AI boom to create highly sophisticated attacks, from deepfake-powered facial recognition bypasses to large-scale social engineering attacks at scale and autonomous malware evading detection. To counter these threats, organizations need an AI-Native defense that adapts, responds, and mitigates attacks in real time..
An AI-Native approach automates the entire defense lifecycle, including defense delivery, compliance, threat identification, and incident response, as well as guiding end users through resolving an attack. Gone are the days when the cyber function and the security operation center (SOC) could rely on AI for threat detection, but still depend on manual processes to resolve threats. With AI-Native cybersecurity, teams can control automatically every aspect of defense, eliminating delays caused by dependencies on multiple departments and manual actions.
Security leaders rely on multiple data sources, logs, and reports. AI-driven analytics provide deep insights and early warnings on emerging threats, along with benchmark comparisons and dynamic risk analysis. An AI-Native approach accelerates decision-making in incident response, automating defenses in real time before escalation.
Many security teams are constrained by IT, engineering, and operations for critical tasks like threat modeling, infrastructure changes, and security tool integrations. With AI-Native defense, the cyber function can automate defense delivery independently of external teams. Now security teams can automate defense enforcement, reducing delays while accelerating security measures.
As AI drives efficiency across enterprise functions, cybersecurity teams must keep up with rapid innovation. New applications, capabilities, revenue sources, threats, and vulnerabilities are evolving faster than ever. AI-Native security delivers continuous fraud prevention, automated security updates, and preemptive threat mitigation. With AI-Native, cyber and fraud defenses can be deployed instantly and ensure continuous defense.
Cyber’s Top Priority for 2025: Become AI Native.
Looking forward, CISOs and cybersecurity teams can no longer afford to see AI merely as a tool but must embrace AI as their foundation. Just as other enterprise functions use AI for speed, efficiency, and agility, cybersecurity must do the same – eliminating manual tasks, handoffs and learning curves.
With AI-Native, cyber teams use technology platforms to automate the entire defense lifecycle, ensuring readiness, reducing bottlenecks, and ensuring that security, ant-fraud and bot defense are delivered continuously. The future of cybersecurity isn’t just AI-aided — it’s AI-Native. Don’t be the cyber frog in the pot. The time to act is now.
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This entry was posted on February 26, 2025 at 8:59 am and is filed under Commentary with tags Appdome. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.