NeuralCapitalTop 10 AI Cybersecurity Companies — Q2 2025
State of the Sector: Q2 2025 Overview
Cybersecurity has become a machine-vs-machine domain — and in Q2 2025, AI emerged as both attacker and defender. Threat actors are increasingly using LLMs to generate phishing payloads, automate reconnaissance, and even write malware. In response, security companies are embedding AI deeper into endpoint protection, anomaly detection, threat modeling, and autonomous response. The battle is no longer about firewalls — it’s about inference speed, context retention, and response automation. The companies that win are those that detect, adapt, and respond faster than human teams ever could.
Top 10 Public AI Cybersecurity Companies — Q2 2025
1. CrowdStrike (CRWD, NASDAQ)
CrowdStrike continues to lead with its Falcon platform, which now uses AI to detect anomalies in behavioral telemetry across millions of endpoints. Q2 brought a major upgrade to its Charlotte AI engine — now providing context-aware threat responses with near-zero latency. It’s not just detection — it’s prediction.
2. Palo Alto Networks (PANW, NASDAQ)
Palo Alto’s Cortex XSIAM platform is redefining the SOC with autonomous threat triage and resolution. Q2 saw strong enterprise adoption of its LLM-powered analyst assist tools, enabling faster incident analysis and automatic playbook generation. They're building the AI-first defense operating system.
3. SentinelOne (S, NYSE)
SentinelOne’s Singularity platform continues to innovate in real-time threat hunting and AI-led response. Q2 brought expanded integration with third-party telemetry and stronger lateral movement detection. Its vision of autonomous containment is moving closer to reality — without human touch.
4. Microsoft (MSFT, NASDAQ)
Microsoft Security Copilot is a force multiplier for enterprise defenders. In Q2, it expanded to new customer tiers and added context-aware GPT-4 capabilities across Microsoft Defender and Entra. With access to one of the largest threat datasets in the world, its AI arsenal is second to none.
5. Fortinet (FTNT, NASDAQ)
Fortinet is embedding AI into edge devices, SD-WAN, and IoT security layers. Q2 saw strong growth in AI-led firewall behavior profiling and predictive packet analysis. It’s using deep learning where others still rely on signatures — especially in constrained environments.
6. Cloudflare (NET, NYSE)
Cloudflare’s Bot Management and DDoS protection tools are now powered by adaptive AI models trained across billions of requests. Q2 featured rollout of its new anomaly fingerprinting engine — able to identify evolving botnets and L7 attacks in real time.
7. Check Point Software (CHKP, NASDAQ)
Check Point’s Infinity architecture is evolving into a full-stack AI shield. Q2 brought new capabilities in phishing content classification and business email compromise detection using LLMs. Its hybrid cloud firewall integrations are now driven by policy engines tuned with machine learning.
8. Zscaler (ZS, NASDAQ)
Zscaler’s zero trust platform is getting smarter. Q2 updates included AI-driven behavioral baselines for user and workload segmentation, as well as faster identity compromise detection. It’s one of the few vendors tying AI directly to access control and dynamic perimeter enforcement.
9. Rapid7 (RPD, NASDAQ)
Rapid7’s Insight platform gained powerful generative AI tooling for threat report generation and analyst coaching. Q2 also featured new automation flows in its SOAR suite — allowing AI to recommend and execute low-risk remediation steps with human sign-off.
10. Akamai Technologies (AKAM, NASDAQ)
Best known for CDN infrastructure, Akamai is turning its network visibility into a security advantage. In Q2, it deployed AI-driven web app threat detection and bot scoring at the edge — blocking new classes of supply chain attacks before they reach the data center.
Private Companies to Watch
The bleeding edge of cybersecurity innovation is often in private hands. These players are pushing AI forward fast:
Vectra AI – AI-powered NDR platform that identifies hidden threats across cloud, data center, and identity infrastructure.
Darktrace – Using self-learning AI for enterprise-wide anomaly detection and autonomous defense.
Horizon3.ai – Known for its NodeZero AI red teaming tool that proactively identifies security weaknesses using attacker-like logic.
Canary – Lightweight deception tech that uses AI to generate realistic decoys and detect intrusions early.
Cyberhaven – Protects data at the moment of use with real-time behavioral detection using machine learning.
Neural Capital Insight
Q2 made it clear: in cybersecurity, AI is no longer a tool — it’s the battleground. The top players are building platforms that detect faster, triage smarter, and respond autonomously. The arms race between malicious and defensive AI is just beginning — and whoever automates better, wins.
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From endpoint protection to autonomous SOCs, AI is redefining digital defense. Follow NeuralCapital.ai for quarterly insights into how AI is securing the future — and which companies are leading the charge. Q3 Rankings drop July 1.
Disclosure: This article is editorial and not sponsored by any companies mentioned. The views expressed in this article are those of the author and do not necessarily reflect the official policy or position of NeuralCapital.ai.