The cybersecurity industry is entering a new phase. Generative AI is already changing how organizations analyze data, detect threats, and automate response. Yet most discussions about AI in security focus on operational efficiency with benefits like how quickly a SOC can triage alerts or reduce time to summarize incidents.
At Deepwatch, we believe AI’s real potential is not just about speed or automation. It is about creating a better, more transparent, and more collaborative customer experience.Today, we are introducing Deepwatch NEXA, the MDR industry’s first collaborative Agentic AI ecosystem. NEXA connects human expertise, AI intelligence, and customer context into a single, unified experience. It transforms how MDR providers and customers work together by turning complex security data into clear, actionable intelligence that accelerates decision-making and improves overall security posture.
A New Model for MDR
Traditionally, AI in MDR focuses on helping analysts behind the scenes. NEXA brings AI to the forefront of the customer experience. It unites Deepwatch analysts, customers, and AI agents in a shared environment of real-time intelligence and joint decision-making. It is designed as a living ecosystem that evolves with every interaction and links detection, investigation, and response into a continuous feedback loop that improves over time. Anyone, from a SOC analyst to a CISO, can ask questions in natural language, explore data, and instantly understand how detections, risks, and response actions align with business priorities.
As NEXA processes new data and customer context, it learns which patterns indicate exposure, which detections are most effective, and where controls can be improved. This learning enhances Deepwatch’s ability to detect threats proactively and keeps customers’ defenses aligned with the changing threat landscape. For customers, this means an MDR experience that gets smarter, more adaptive, and more precise each day. For Deepwatch analysts, it means higher quality insights and faster, data-driven actions backed by full transparency.
Let’s take a scenario: When a new threat appears on the landscape, Deepwatch’s Adversary Tactics and Intelligence (ATI) team publishes a detailed advisory. Within minutes, six NEXA agents begin correlating information across telemetry, tickets, and detection coverage. Here’s how NEXA’s collaborative agents work together in practice:
- CTEM agent identifies exposed assets and assesses their risk level.
- Detection Advisor agent verifies coverage and suggests additional detection logic aligned to MITRE ATT&CK.
- Ticket Analyzer agent reviews open investigations and highlights relevant cases.
- Investigative agent coordinates activities to enrich data and execute investigation steps to pull in relevant context.
- Narrative agent transforms investigation data into clear, contextual threat summaries.
- Active Response agent recommends containment actions and tracks progress.
In a single view, both Deepwatch analysts and customers gain the same understanding of what is happening, what is at risk, and what actions are being taken. The result is faster, more confident decision-making and a shared sense of control.
NEXA represents a new model for MDR. It is not an assistant working in isolation but a collaborative ecosystem of six AI agents that continuously learn, reason, and interact with humans in the loop whether they are Deepwatch’s SOC analyst or customer security teams.
AI + Human Expertise Driving Elevated Customer Value
NEXA reimagines how customers experience MDR. It empowers them to:
- Democratize Security Intelligence: Consolidate data and insights across tools into one conversational interface where anyone can explore and ask questions in natural language.
- Continuously Improve Posture: Identify exposures, coverage gaps, and detection priorities in real time to stay aligned with evolving threats.
- Accelerate Decision-Making: Replace hours of analysis with immediate, contextual understanding and clearer communication of risk.
- Streamline Response: Connect data, context, and action to coordinate faster and more effective containment.
Deepwatch NEXA is built on the principle of Human-Guided, Trusted Autonomy. AI agents act independently only within defined guardrails, and every recommendation remains under analyst oversight.
This design ensures that automation strengthens human expertise instead of replacing it. Analysts stay in control, using NEXA’s insights to make informed decisions faster and with greater confidence. The outcome is a model of collaboration built on transparency and trust.
These capabilities redefine MDR as a partnership that delivers continuous visibility, measurable outcomes, and customer confidence.
A Collaborative Future for MDR
The launch of Deepwatch NEXA represents more than a product milestone. It marks the beginning of a new chapter for managed detection and response.
Where most MDR providers use AI to make operations efficient, NEXA uses AI to make collaboration stronger. It creates a shared intelligence layer where analysts and customers work as one team, interpreting the same data, understanding the same context, and achieving results together.
By merging human expertise with generative AI, Deepwatch NEXA transforms MDR from a reactive service into an insight-driven partnership that drives proactive service. It changes the conversation from mean time to detect or respond to something far more valuable: mean time to confidence.
Deepwatch NEXA is the next evolution of Precision MDR. It brings together intelligence, context, and action to deliver clarity in every moment that matters.
As Chief Product Officer at Deepwatch, Anand Ramanathan leads product vision and execution. Anand is a seasoned technology executive with over 20 years of experience in senior product and GTM leadership roles at leading companies including McAfee, Proofpoint, and Cisco. He has a proven track record of developing disruptive product strategy and scaling emerging companies, driving high double-digit growth at Skyhigh and Proofpoint.
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