Artificial intelligence is changing cybersecurity faster than most companies expected. It is helping security teams catch threats earlier, sort through overwhelming volumes of alerts and respond more quickly. But it is also making life easier for attackers, who can now produce more convincing phishing emails, better impersonation scams and more targeted attacks at much greater scale. This is what makes the current moment so important. AI is not just improving cybersecurity tools. It is changing the nature of the fight itself.

That shift is becoming harder to ignore. The World Economic Forum’s Global Cybersecurity Outlook 2026 found that 94% of surveyed leaders believe AI will be the most significant driver of change in cybersecurity in the year ahead. The same report also shows that companies are taking AI risk more seriously than before, with the share assessing the security of AI tools before deployment rising from 37% in 2025 to 64% in 2026.

Cybersecurity has always involved a constant race between attackers and defenders, but AI is speeding up both sides. On the offensive side, attackers can use generative AI to write polished phishing emails, tailor scams to specific people, automate basic reconnaissance and make fraud attempts look more believable. Microsoft’s Digital Defense Report 2025 says threat actors are increasingly using AI in phishing and more complex attack chains while continuing to exploit known vulnerabilities quickly.

What makes this more concerning is not just the quality of the attacks, but the economics behind them. AI lowers the effort required to produce large numbers of plausible messages, impersonations and lures. A scam that once took time to craft can now be produced in seconds and adjusted for different audiences almost instantly. That means attacks can become both more frequent and more personalized.

At the same time, AI is giving defenders tools they genuinely need. Security teams are buried in data. They have to monitor logs, endpoints, identities, cloud systems and a constant stream of alerts. AI can help them make sense of that chaos by spotting anomalies, connecting patterns across systems, summarizing incidents and cutting down the manual work that consumes so much analyst time. NIST has framed the challenge clearly: organizations need to secure AI systems, use AI to improve cyber defense and defend against adversaries using AI offensively.

This matters especially because many security teams are stretched thin. In practice, AI can act less like a magic solution and more like an extra layer of support. It can help analysts focus on the threats that matter most, respond faster and spend less time chasing noise. Used well, it does not replace human judgment. It makes that judgment more effective.

Another major change is that AI itself has become part of the security problem. Companies are no longer just protecting laptops, servers and cloud infrastructure. They are also deploying copilots, agents, retrieval systems and third party AI tools that introduce new risks. These systems can create openings through prompt injection, excessive permissions, insecure integrations, data leakage and supply chain weaknesses. CISA’s roadmap on AI makes clear that AI adoption and cyber resilience now need to be treated together.

This is where many organizations are still immature. A company may adopt AI quickly for productivity or customer experience without fully understanding what data the system can access, what actions it can take or how easily it could be manipulated. In the past, cybersecurity discussions often focused on protecting networks and devices. Now they also have to include models, prompts, workflows and the surrounding data environment.

The next phase of this shift will likely be more autonomous security. More tools are being built to do more than simply recommend action. They can isolate devices, flag suspicious behavior, block malicious activity and help coordinate response steps in real time. That could be valuable in a world where attacks move faster than human teams can. But it also raises real concerns about overreliance, false positives and how much authority organizations should hand to systems that may still make mistakes.

The companies that handle this well will probably be the ones that stay practical. They will use AI to strengthen defense, but they will not assume automation alone is the answer. They will keep humans involved, build in oversight and treat governance as part of the product, not an afterthought. That balance matters because the real opportunity is not to remove people from cybersecurity. It is to make people better at it.

The larger takeaway is simple. AI is making defenders faster, attackers more scalable and business environments more complicated all at once. That is why this moment feels different from past waves of security innovation. AI is not just another tool entering the stack. It is reshaping what cybersecurity looks like, how attacks are launched and how defense has to operate in response.

Dr. Sanjit Singh Dang Sanjit has been a successful Venture Capitalist, Corporate Executive, Board Member, Speaker and Writer in Silicon Valley for almost two decades. He is currently the Co-Founder and Chairman of U First Capital which provides Venture Capital as a Service to Corporations. Prior to that, he was at Intel Capital where he had an excellent track record of driving 1 Exit every year: Palantir (IPO 2020), Orb Intelligence (Acquired by Dun and Bradstreet in 2020), Pinterest (IPO 2019), DocuSign (IPO 2018), Body Labs (Acquired by Amazon in 2017), VokeVR (Acquired by Intel in 2016), Maginatics (Acquired by EMC in 2015) and Basis Science (Acquired by Intel in 2014). He has been an Investor and Board Member of several companies, including True Fit (AI for eCommerce, raised $100M), Reflektion (AI recommendation for eCommerce, raised $42M), Helpshift (AI-driven Customer Service, raised $39M) and Enlighted (IoT, Acquired by Siemens in 2018). He is also an investor in Mirantis (Cloud Computing), GoodData (SaaS BI) and Arcadia Data (Big Data 2.0).

Sanjit has experience investing in Consumer and Enterprise sectors across several areas: Artificial Intelligence, Security, Big Data, IoT, Virtual Reality, eCommerce, etc.

Sanjit has been an Advisor to Richard Branson’s Extreme Tech Challenge and Google Launchpad. Sanjit has been on US Govt Innovation Policy Advisory team. He is on Advisory Council of UN’s World Artificial Intelligence Organization. Sanjit has the fastest Eng PhD from University of Illinois (2yrs 9mo after undergrad), which he received in 2000 with top research awards. He also attended the VC Executive program at Haas School of Business, UC Berkeley. He’s an invited Speaker at several top conferences, eg SURGE/WebSummit, TiECon, ShopTalk, McKinsey Leadership Summit, Silicon Valley Open Doors, Global AI conference, etc.

Visit Dr. Dang on LinkedIn.

AI Is Rewriting The Rules Of Cybersecurity