Every major technology revolution begins the same way: Promise, panic, and potential.

The internet gave us connection. Cloud gave us scale. AI is giving us cognition – systems that can reason, decide, and act.

Firewalls helped the internet era. Workload protection helped the cloud era. And, in the AI era, you have AI Security.

This is a new field and frontier that requires mastering two disciplines at once.

• Security for AI – Governing and protecting the usage of AI itself. Models, data, agents, and the users and developers who rely on them. In many cases, this is also done by AI.
• AI for Security – Applying agentic AI and machine learning to solve today’s biggest cybersecurity challenge: Staying ahead of AI-powered attacks by detecting, investigating, and responding at machine speed.

Most importantly, in this era, the architecture and infrastructure needed to truly benefit from AI will be the determining factor to successfully secure it. Quality of data, inclusivity of data, cardinality, and latency will be critical, as will be the tools and technologies facilitating those.

At OneCon 2025, we are laying out a practical path to secure this new world. The opportunities AI creates, the risks it introduces. The strategy and product innovation you can put to work today to accelerate and de-risk your AI journey.

AI: Business Accelerant & New Attack Surface

The need for these dual disciplines is driven by the rapid increase in AI usage itself – both by good and bad forces.

AI is accelerating everything. It is transforming how businesses operate, how employees work, and how attackers adapt. Across every single industry, AI is becoming embedded into processes, tools and workflows in every team. Marketing teams use it to generate content. Developers use it to write code. Legal, HR and finance all use it to summarize and automate tasks. AI is now woven into the very fabric of how organizations think and operate.

While holding incredible potential benefits, this transformation is also introducing massive new security risks. Traditional security controls are blind to the data that employees are entering into 3rd-party AI models. Security teams lack visibility into the growing ecosystem of AI tools and assistants spreading across every single enterprise. AI-based browsers that integrate chat or summarization features create new pathways for data exposure. And the rise of Model Context Protocol (MCP) servers that connect agents to agents introduces an entirely new layer of risk that most organizations are not equipped to monitor or govern today.

Meanwhile, adversaries are evolving just as quickly. They are using AI to increase efficiency, precision, and their reach. Non-native English speakers can now craft a convincing, localized spearphishing campaign in minutes. LLMs are being used to write polymorphic malware that mutates faster than traditional defenses can react. Attackers are automating their reconnaissance, identifying vulnerabilities through natural language interfaces, and even embedding AI models directly inside malware to adapt in real time.

The result is a security gap that spans both sides of the equation – on one side, AI as a catalyst for real business innovation and, on the other, AI as an enabler of attack and massive risk exposure.

Building Security in the Age of AI: Three Critical Principles

Protecting this new world requires visibility, intelligent automation, and governance that can move at the same speed as AI itself. In solving for that, we believe in a simple yet critical guiding philosophy to delivering effective AI Security – three critical principles that inform everything that we build and anchor any platform-level defense.

1. Intelligence Over Rules – Security must think, not react. Static signatures and brittle logic can’t match the velocity of modern threats. True protection emerges when AI continuously learns, reasons, and adapts — detecting intent, not just pattern.
2. Autonomy with Accountability – Machines should act at machine speed, but always within human-defined guardrails and system supervision. The future of defense is autonomous, but never ungoverned where AI decisions remain explainable, traceable, and aligned with human values.
3. Unity of Data, Context, and Action – Effective AI security fuses signals from endpoints, identities, and clouds into one coherent understanding. Insight without context is noise; action without context is chaos. The synthesis of both creates real-time, end-to-end resilience.

These principles map directly to the questions customers ask us every day.

How do I better defend my organization?

How do I outpace threats?

How do I get the most from my people and partners?

SentinelOne’s AI Advantage

When it comes to making AI Security real today, SentinelOne is in a unique position. We have been AI-native since day one. Automation has been foundational from the start, not a bolt-on. And, we’ve been using agentic approaches and workflows in live security environments before it became the buzzword du jour.

At launch, we were among the first to apply machine learning to malware detection and prevention. That broke the decades-old pattern of pushing static signatures to endpoints many times a day. Instead of distributing new rules after every outbreak, we trained lightweight predictive models that identified malicious behavior on their own. That meant detecting never-before-seen threats in real time at massive scale.

That innovation reshaped endpoint security and set the foundation for what followed. The same principles of data-driven models, autonomous decision making, and behavioral analytics evolved into the Singularity™ Platform and now power Purple AI, our agentic system that changes how analysts detect, investigate, and respond. Together, they extend protection and intelligence across endpoint, identity, cloud, and AI. It is an entire platform built on and enhanced by AI. This is how we keep our customers safe: By delivering real time security that is predictive and adaptive, at planet scale.

This year we took the next step with two focused acquisitions:

• Prompt Security – A portfolio built to secure AI use cases and protect how employees, developers, and applications leverage generative and agentic AI. This is a critical component of protecting AI as an attack surface itself.
• Observo AI – An AI-ready streaming data pipeline that intelligently filters, normalizes, and ingests petabytes of telemetry across the enterprise with sub-second latency and strong cost efficiency. Combined with Singularity AI SIEM, this provides both pre-ingestion analytics and flexible pull/stream data collection, ensuring complete visibility, real-time detections and autonomous response across the entire security environment.

These advancements extend Singularity into a unified AI Security architecture that gives defenders a complete, autonomous view across traditional and emerging surfaces – from premise to cloud.

Delivering on the AI Security Vision Today

Today at OneCon, we’re not just giving customers a roadmap and strategy, we’re giving them new tools and innovation to start securing their AI-enterprise today, including:

• New solutions from Prompt Security to secure AI apps, tools, developers and agents – Real-time visibility and policy enforcement across thousands of AI tools. Shadow AI discovery, data loss prevention for prompts and outputs, safe coding with secret redaction and vulnerable code blocking, and protection for internal AI applications.
• Purple AI innovations – Integrated agentic auto-investigations with dynamic runbooks. Next best actions on alerts. One-click custom detection rule creation that turns investigation outcomes into durable detections. Integration with Singularity Hyperautomation for approved response.
• Purple AI MCP Server – A secure bridge between Singularity’s live intelligence and your AI ecosystem. Build your own agents grounded in your security context. Use OpenAI, Anthropic, Gemini, or internal models. Innovate securely at scale. The MCP Server is open source and available on GitHub today.
• Observo AI pipelines and integration with Singularity AI-SIEM – Vendor-agnostic data engine for any source to any destination. When paired with Singularity AI SIEM, Observo supercharges detection and response with high-fidelity, cost-efficient streaming telemetry.
• Wayfinder Threat Detection and Response with Google Threat Intelligence – Global insight combined with automation and human expertise. GTI visibility feeds directly into SentinelOne services. Intelligence becomes action through Purple and our analysts. Faster, more precise response as a matter of process, not hope.
• Platform upgrades:
  • Native scalability to million+ active agents in a single deployment. Faster policy updates with minute command SLA.
  • Agent efficiency improvements across operating systems. Lower CPU and memory usage, fewer support cases, better user experience.
  • AI SIEM query engine overhaul that supports very high cardinality and keeps up to seven years of security data hot. Natural language search in Purple AI operates on the same high performance data. No cold storage delays.
  • Live Security Updates upgrades that dramatically reduce response times, and improve accuracy and efficacy.  And more customer controls for safe rollout.
  • Thousands of new detections continually delivered, from the AI-SIEM to the endpoint agent. We’re wherever the adversary moves, delivering real-time protection across dozens of surfaces and data sources. With AI infused into every layer of our operations, we’re moving faster, scaling further, and stopping even unknown threats with greater precision than ever before.
  • New Infrastructure as Code (IaC) deployment processes, better observability across the platform, and proactive communications on incidents via a public status page have all been added to bolster resilience, reliability and transparency.
  • Active monitoring mode and proactive alerting extends resilience outside the SaaS operation into the Endpoint agent, providing near real-time health metrics of the agents themselves – now transparently available for the customer visibility in the agent management control plane.

The Path Forward in AI Security: Advancing Humanity, Protecting the Human

AI security is more than just defending systems, it’s about defending the fabric of trust that lets humans thrive in a digital world. As intelligence becomes ambient and autonomous, security must evolve from a reactive layer into an enabling force for human progress.

• Empowering Human Potential – By offloading complexity and noise to intelligent machines, AI security frees humans to focus on creativity, empathy, and purpose. Protection becomes invisible, a silent force amplifying human capability rather than constraining it.
• Preserving Digital Integrity – As data becomes identity, securing truth is a moral imperative. AI security safeguards the authenticity of information, ensuring societies can rely on what they see, share, and believe. As our lives move fully into digital spaces, the boundary between human and machine expression blurs. Every action carries traces of who we are. In this new reality, AI Security’s role is to safeguard that trust: To ensure that what we see, share, and decide upon is authentic. It means protecting the fidelity of data, the truth of identities, and the integrity of digital interactions against manipulation. It is the contract to our reality.
• Building Ethical Autonomy – The next era demands systems that defend not only themselves, but the people they serve. Ethical AI security means designing intelligence that understands context, respects privacy, and acts in humanity’s best interest even when no one is watching.

Ultimately, the path forward fuses human and artificial intelligence into a shared defense, machines protecting people, and people guiding machines, so that technology remains our most trusted ally, not our greatest risk.

Defenders deserve a technology that protects every surface, that can see everything, turns data into advantage, and puts human governance at the center. So, let’s get started.

AI for Security. Security for AI. Autonomous protection, always evolving, in production, today, all in pursuit of a safer, brighter future.