The Agentic AI Boom in Cybersecurity: From Buzzword to Battlefield
Cybersecurity has always been an arms race defenders build stronger walls, and attackers find new ways to break them. Now, a new player has entered the battlefield: Agentic AI.
Unlike traditional automation, Agentic AI doesn’t just follow a script. It thinks, decides, and acts on its own and the market is exploding.
💡 According to recent reports, the global Agentic AI in cybersecurity market is projected to hit $173.5M by 2034 (with a CAGR of nearly 40%). In the U.S., the broader agentic AI tools market is already valued at $1.74B in 2024, growing at an insane 51.6% CAGR.
This isn’t hype anymore. It’s happening right now.
Big Tech & Startups Are Betting on Agentic AI
Some recent moves:
Microsoft → Added 11 AI agents into Security Copilot to autonomously triage phishing alerts and assess vulnerabilities.
Trend Micro → Launched its “AI Brain,” capable of predicting attacks, evaluating risks, and taking action without waiting for human input.
Vastav AI (India) → Built a real-time deepfake detection engine, proving how critical agentic automation has become for authenticity and trust.
Agentic AI is quickly moving from experimental labs into real-world security ops.
Agentic AI Meets Threat Intelligence
That’s why we launched Digital Cyber Analysts — AI agents built specifically for threat intelligence.
These analysts tap into our cybercrime intelligence data lake to provide insights like:
Hacking Discussions → Tracking dark web chatter on tools, breaches, and stolen goods.
Technical Intelligence → Monitoring IOCs (IPs, hashes, domains).
Threat Actor Profiling → Mapping TTPs and behaviors of attackers.
Leaked Credentials → Detecting compromised employee accounts.
Daily Threat Highlights → Delivering digestible summaries of active risks.
Phishing & Brand Abuse → Detecting, blocking, and even taking down malicious sites.
In other words: they don’t just collect data they connect dots and act on them.
Meet Alex: From Hours of Work to Instant Action
Here’s what used to happen when credentials leaked:
TI alert spotted.
Analyst cross-checks the user in the IdP.
Request sent for password reset.
Server team contacted to terminate sessions.
Repeat… endlessly.
Now meet Alex, our enterprise-focused AI analyst.
Instead of analysts juggling 4+ platforms, Alex simply says:
“Credentials linked to your VPN were found in infostealer logs. They belong to an active employee. I’ve forced a password reset and terminated all sessions to eliminate MFA bypass.”
That’s not a backlog item. That’s done. Instantly.
Meet Ethan: From Bottlenecks to Real-Time Attribution
Attribution used to take weeks. Piecing together fragments from underground forums, encrypted chats, and stolen data dumps was tedious and nearly impossible for most teams.
Enter Ethan, our law-enforcement-focused AI analyst.
Ethan connects the digital breadcrumbs, contextualizes activity, and attributes actors in minutes. What used to require elite intel teams can now be done at scale — giving defenders the upper hand.
Beyond Alerts: Active Defense Without Burnout
What makes Alex and Ethan different?
They think, prioritize, and act like teammates.
They generate daily briefs, respond to RFIs, and flag risks — autonomously.
They learn continuously, getting sharper with every interaction.
Instead of drowning in alerts, analysts can focus on strategy and high-value decisions.
Final Thoughts: Intelligence at Machine Speed, Context at Human Depth
Gartner called Agentic AI a driver of “autonomous and low-effort experiences.” In cybersecurity, that translates to:
Faster detection
Smarter defense
Zero burnout
Our Digital Cyber Analysts don’t just assist. They amplify. They don’t just find data. They understand and act on it.
And the best part? They never get tired.
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