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Beyond the Hype: Seven AI Trends Every Security Pro Needs to Know for 2025
- Dec 11, 2024
- Exabeam Editor
- 4 minutes to read
Table of Contents
#1 – AI-Powered Attack Sophistication
By 2025, hackers will have access to dramatically advanced AI tools, transforming the threat landscape. Generative AI, with significantly improved reasoning abilities, will allow cyber attackers to execute highly realistic phishing scams, including deepfake voices and video avatars. Expect nearly flawless, real-time impersonations and highly complex automated probing for vulnerabilities, which could overwhelm traditional defenses. Organizations must implement AI-driven security tools that continuously learn from and adapt to emerging attack patterns, particularly to counter advanced social engineering attacks. Training employees to recognize AI-powered threats will also become essential.
#2 – Enhanced Defensive Capabilities with AI-Powered Copilots
On the defensive front, AI copilots will become indispensable in cybersecurity operations, speeding up threat detection, investigation, and response. By 2025, every cybersecurity operator will likely be equipped with a generative AI copilot, streamlining complex analyses and providing actionable insights in real-time. Companies should prepare to integrate these copilots, ensuring interoperability with existing security infrastructure and training operators to collaborate effectively with AI assistance. This dual human-AI approach will elevate response speed and precision, especially in high-stakes incidents.

#3 – Ubiquitous AI in Security Operations
While AI has become common in tools like SIEM and UEBA, 2025 will see generative AI augmenting nearly every layer of cybersecurity, from endpoint protection to threat intelligence. The ubiquity of these systems will enable a much more dynamic and resilient security posture, able to address complex threat landscapes with speed and precision. Organizations should invest now in AI security certifications and frameworks, positioning themselves to meet emerging regulatory and compliance requirements around AI in cybersecurity. This foundation will be key as more AI systems are integrated across security architectures.

Steve Wilson | Chief Product Officer
Steve Wilson is Chief Product Officer at Exabeam. Wilson leads product strategy, product management, product marketing, and research at Exabeam. He is a leader and innovator in AI, cybersecurity, and cloud computing, with over 20 years of experience leading high-performance teams to build mission-critical enterprise software and high-leverage platforms. Before joining Exabeam, he served as CPO at Contrast Security leading all aspects of product development, including strategy, product management, product marketing, product design, and engineering. Wilson has a proven track record of driving product transformation from on-premises legacy software to subscription-based SaaS business models including at Citrix, accounting for over $1 billion in ARR. He also has experience building software platforms at multi-billion dollar technology companies including Oracle and Sun Microsystems.
#4 – AI Will Democratize Malware Creation, Opening the Door for a New Class of Cybercriminals
You won’t need to be a coder to create sophisticated malware in 2025—AI will do it for you. Generative AI models trained specifically to generate malicious code will proliferate in underground markets, making it possible for anyone with access to deploy ransomware, spyware and other types of malware with little effort. These “hacker-in-a-box” tools will automate everything from writing to deploying attacks, democratizing cybercrime and increasing the volume and diversity of threats.
#5 – “Zero Trust for AI” Will Begin to Emerge as a Key Security Conversation
AI can be a powerful ally in security, but it also introduces new risks—especially when users place unchecked confidence in its results. Blindly trusting AI-generated outputs will become a major vulnerability for organizations. This will lead to the rise of a new cybersecurity mandate: “Zero Trust for AI.” Unlike traditional Zero Trust principles, Zero Trust for AI is not a prediction for the future: it’s a concept ready for discussion now, bringing a nuanced approach to trusting AI. This framework will require organizations to verify, validate and fact-check AI outputs before allowing them to drive critical security decisions. This shift will encourage security teams to roll out trust incrementally, allowing for a more controlled and secure integration of AI. Human oversight will become a non-negotiable component of AI deployments within security environments.


Steve Povolny | Security Research & Competitive Intelligence
Steve Povolny is a seasoned security research professional with over 15 years of experience in managing security research teams. He has a proven track record of identifying vulnerabilities and implementing effective solutions to mitigate them.
#6 – The Battle Between AI-weaponized Attackers and AI-powered Defenders Will Intensify
Malicious actors will increasingly use generative AI to create morphing malware—code that adapts and mutates to evade detection, making traditional defenses obsolete. These new strains of AI-generated malware will be more efficient and harder to trace. At the same time, defenders will lean on AI tools to streamline threat detection, asking more sophisticated questions and flagging abnormal behavior more quickly.

Kevin Kirkwood | Chief Information Security Officer
With over 25 years of experience, Kevin has led security initiatives for organizations such as PepsiCo, Bank of America, and the Federal Reserve System. Kevin studied Marine Biology and Journalism at Texas A&M and after six years in the US Navy, he received a Bachelor of Science in Computer Information Systems. Kevin is passionate about giving back and volunteers as the Vice Chairman of the Planning Commission for his county and serves as President of the local water board. In his free time, Kevin enjoys continuous learning, riding motorcycles, and dreams of creating a farm for both fun and profit.
#7 – Traditional SOC Analysts Will Shift Expertise to Become AI Specialists
In 2025, traditional security operations center (SOC) analyst roles will rapidly decline as AI and machine learning take over routine security tasks. Organizations will prioritize hiring AI specialists who can interpret, manage and guide advanced AI-driven security systems. Threat hunting roles will surge in demand, as human expertise is needed to contextualize and act on AI-generated insights. Companies will no longer rely on generalist cybersecurity teams but instead seek highly specialized professionals to stay ahead of increasingly sophisticated AI-powered attacks. The future of cybersecurity jobs will hinge on human expertise paired with AI innovation.


Gabrielle Hempel | Solutions Engineer
Gabrielle Hempel is distinguished for her expertise in security strategy, executive cybersecurity/risk consulting, cloud engineering, vulnerability management, SIEM, and network detection and response (NDR). Recognized as an ‘Emerging Leader’ by the DoD National Security Innovation Network, Hempel’s thought leadership extends through speaking at major conferences such as BlackHat and DefCon and publications in peer-reviewed journals and media outlets. Hempel has a MS in Cybersecurity and Global Affairs from NYU and is currently pursing her law degree at Purdue University.
Conclusion
As we look ahead to 2025, it’s clear that artificial intelligence will continue to shape the cybersecurity landscape in profound ways. The predictions we’ve outlined highlight both the incredible potential AI holds for fortifying defenses and the evolving threats it enables. For security professionals, staying informed and adaptable will be crucial to navigating this dual-edged frontier.
By embracing AI thoughtfully—leveraging its strengths to combat its risks—organizations can build more resilient, proactive security strategies. The future may be uncertain, but with the right knowledge and tools, we can rise to meet the challenges ahead and turn the tide against adversaries. The question isn’t whether AI will transform security operations, but how ready we are to guide that transformation.
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- Cybersecurity Trends
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