Deep Instinct released the sixth edition of its Voice of SecOps Report, which delves into the growing influence of AI in business, with a focus on its impact on Security Operations (SecOps). While AI adoption is accelerating, the findings uncover a more complex reality: security teams are limited by knowledge gaps, inconsistent implementation, and mounting operational pressures as they face an increasingly treacherous, AI-driven threat landscape.
The research, "Cybersecurity & AI: Promises, Pitfalls - and Prevention Paradise," found that nearly three-quarters (72%) of organizations have revised their cybersecurity strategies over the past year due to AI, and a whopping 86% have increased their use of AI within SecOps. Despite the investments, two-thirds of respondents were confused about fundamental AI definitions, with 38% unable to differentiate between machine learning and deep learning - signaling an alarming knowledge gap in the industry.
Additional key findings from the report include the following:
AI-Powered Cyber Threats Drive a Focus on Prevention
As cybercriminals build and adopt AI tools, the nature and scale of attacks have drastically evolved and expanded. Nearly half (46%) of organizations experienced an uptick in targeted phishing attacks, while 43% reported deepfake impersonation attempts. Attacks on local or cloud storage were also a growing concern, cited as a top risk by 83% of respondents, second only to phishing (84%).
In response to these AI-powered attacks, 82% of organizations say they have shifted toward a prevention-first security strategy, with 64% noting a direct push from the C-suite to adopt more proactive defense measures.
Benefits of AI in Cybersecurity Roles Are Clear, Yet It Unexpectedly Contributes to Burnout
SecOps teams appear to be reaping the benefits of AI, with 76% stating it makes their roles easier while saving security teams an average of 12 hours per week on manual processes. However, while GenAI may be simplifying some aspects of SecOps workloads, nearly 70% of security professionals believe AI also contributes to burnout.
Regulatory complexity adds another layer of strain, with 32% citing difficulties in keeping up with increasing AI-related policies, and an additional 37% fearing AI-related regulations are a financial penalty waiting to happen.
Preemptive Data Security: The New Imperative
In the face of mounting threats, operational burnout, and AI confusion, preemptive data security - a subset of Gartner's recently introduced preemptive cybersecurity market category - offers a definitive path forward. By harnessing the power of deep learning to prevent threats before they execute, organizations will reduce risk, ease the burden on SecOps teams, and stay ahead of relentless adversaries.
"The traditional ‘detect and respond' cybersecurity model is broken - it's reactive, expensive, and no match for AI-powered threats," said Lane Bess, CEO of Deep Instinct. "To win this fight, cybersecurity teams must shift from chasing threats to preventing them. Preemptive data security - powered by deep learning, the most advanced form of AI - is the only way for SecOps teams to regain control and stay ahead of adversaries."
To get the full report and download past Voice of SecOps reports, please visit https://www.deepinstinct.com/voice-of-secops-reports.