🚀 The agentic pentesting race has a clear frontrunner. And it's not Google.
Yes, Google just spent $32 billion on Wiz. Yes, they announced AI security agents at Cloud Next '26. The industry is finally catching up to what we've been building for years.
But here's the thing — Wiz's red agent is still in preview.
PAIStrike is in production. Right now.
While others are announcing roadmaps, PAIStrike is already reasoning through the attack surfaces that matter most:
🔐 Authenticated multi-step web exploits
🔗 Complex API chains and business logic flaws
🧠 Stateful attack scenarios that require genuine contextual reasoning — not just payload spraying
The numbers back it up:
📊 93.27% pass rate on 104 XBEN web attack benchmarks
🏆 #18 globally / 1,704 teams — HackTheBox CTF, fully autonomous
💯 100% success on Level 3 stateful attacks
🌏 50+ companies across APAC already trialing PAIStrike in live security programs
Attackers are already using AI. Claude Mythos proved that AI can now autonomously find zero-days and write working exploits.
The question isn't whether your team needs agentic pentesting.
It's whether you start before or after the breach.
PAIStrike is not the future of penetration testing.
It is the present.
📖 Read the full breakdown:
👉 https://t.co/9d3NLmBMWs
#PAIStrike #AgenticSecurity #AIPentesting #AutonomousPentesting #CyberSecurity #RedTeam #AppSec #APISecurity #PenetrationTesting #EnterpriseSecurity #Scantist #InfoSec
⚔️ Two AI pentesting platforms. Very different philosophies.
XBOW is fast. Coordinated agent swarms, rapid web & API coverage, deterministic validation. Great for on-demand point-in-time testing. But enterprise security programs need more than speed.
They need a platform that reasons — through business logic, authenticated workflows, multi-step attack chains, and compliance evidence trails.
That's what PAIStrike is built for:
🧠 Metacognitive Reasoning Governance — evaluates assumptions, enforces confidence thresholds, eliminates false positives at the architecture level
🗂️ Long-Term Memory — retains exploit context and attack paths across engagements, not just within a single scan
✅ 100% success on Level 3 stateful attacks (XBEN benchmark) — authenticated, multi-step, real-world exploitation scenarios
📋 Audit-ready evidence aligned with ISO 27001 & SOC 2 — not just findings, but reproducible proof chains
🏆 #18 globally on HackTheBox CTF out of 1,704 teams — fully autonomous, zero human intervention
If your security program has outgrown point-in-time scanning, this comparison is worth a read.
📖 PAIStrike vs XBOW — full breakdown:
👉 https://t.co/qIXDTixUqQ
#AIPentesting #AgenticSecurity #PAIStrike #PenetrationTesting #AutonomousPentesting #EnterpriseSecurity #RedTeam #AppSec #APISecurity #CyberSecurity #InfoSec
🤖 Modern attack surfaces aren't just internal networks and perimeters. They're complex web applications, multi-step API chains, business logic flaws, and authenticated grey-box scenarios that require a different kind of reasoning.
Here's how the two platforms stack up:
🔵 NodeZero
→ Best-in-class for internal infrastructure & attack path validation
→ "Find, fix, verify" continuous cycle
→ Proven enterprise track record
🟢 PAIStrike
→ Metacognitive Reasoning Governance — reasons through business logic, not just known attack paths
→ Long-Term Memory — retains exploit context across engagements, learns over time
→ 93.27% XBEN benchmark pass rate, 100% on Level 3 stateful attacks
→ Audit-ready evidence aligned with ISO 27001, SOC 2, and ISO 42001
→ #18 globally in HackTheBox CTF (1,704 teams) — fully autonomous
The bottom line: NodeZero owns the infrastructure layer. PAIStrike goes deeper on web, API, and business logic — where the most sophisticated attacks are happening right now.
📖 Full side-by-side comparison — testing models, workflows, enterprise governance, and how to choose:
👉 https://t.co/JzXp7S78Sg
#AIPentesting #AutonomousPentesting #PAIStrike #Horizon3ai #NodeZero #PenetrationTesting #CyberSecurity #RedTeam #AppSec #APISecurity #EnterpriseSecurity #SecurityValidation #InfoSec
When attackers use AI for automated recon, adaptive exploit chaining, and real-time pivoting — a quarterly manual test doesn't protect you. It just gives you a false sense of coverage.
So right after Vercel's disclosure, we put PAIStrike to work on their public attack surface.
The results:
🔴 5 High Severity findings
🟠 8 Medium Severity findings
🟡 3 Low Severity findings
16 independently validated vulnerabilities — total
Every finding came with full reproduction steps and proven exploit chains. Not heuristic alerts. Not theoretical risks. Validated.
The asymmetry is real. Attackers are already operating at machine speed. Most defenders are still scheduling their next pentest.
📖 Full research report — what we found, how we found it, and 4 recommendations for security leaders:
👉 https://t.co/iDsWcEnzlB
#CyberSecurity #PenetrationTesting #AIPentesting #PAIStrike #Vercel #AutonomousSecurity #RedTeam #APISecurity #OffensiveSecurity #InfoSec #ZeroDay #AppSec #SecurityResearch
When attackers use AI for automated recon, adaptive exploit chaining, and real-time pivoting — a quarterly manual test doesn't protect you. It just gives you a false sense of coverage.
So right after Vercel's disclosure, we put PAIStrike to work on their public attack surface.
The results:
🔴 5 High Severity findings
🟠 8 Medium Severity findings
🟡 3 Low Severity findings
16 independently validated vulnerabilities — total
Every finding came with full reproduction steps and proven exploit chains. Not heuristic alerts. Not theoretical risks. Validated.
The asymmetry is real. Attackers are already operating at machine speed. Most defenders are still scheduling their next pentest.
📖 Full research report — what we found, how we found it, and 4 recommendations for security leaders:
👉 https://t.co/iDsWcEnzlB
#CyberSecurity #PenetrationTesting #AIPentesting #PAIStrike #Vercel #AutonomousSecurity #RedTeam #APISecurity #OffensiveSecurity #InfoSec #ZeroDay #AppSec #SecurityResearch
We’ve identified a security incident that involved unauthorized access to certain internal Vercel systems, impacting a limited subset of customers. Please see our security bulletin:
https://t.co/0S939n3qHC
🔐 Choosing the right AI pentesting platform in 2026 just got harder.
Three very different approaches to autonomous security testing — and the wrong choice could cost your team months of wasted effort.
We broke it all down in a new comparison guide:
✅ Pentera — proven enterprise validation, broad exposure coverage, but pricing starts at $35K/year
✅ Penligent — agentic offensive workflow, 200+ tools, great for solo practitioners
✅ PAIStrike — multi-agent reasoning, long-term offensive memory, 93.27% pass rate on XBEN benchmarks, #18 globally in HackTheBox CTF (fully autonomous)
The key question isn't "which tool finds the most vulnerabilities?"
It's "which tool fits how your security team actually works?"
🧠 With Anthropic's Claude Mythos proving that AI can now surpass human experts at finding zero-days, the gap between teams using AI-powered pentesting and those still running manual-only engagements is only going to widen.
📖 Read the full breakdown here:
👉 https://t.co/TUaav9sYKv
#PenetrationTesting #AIPentesting #CyberSecurity #PAIStrike #Pentera #Penligent #AutonomousPentesting #RedTeam #AppSec #InfoSec #SecurityTesting #EthicalHacking
"Security can't be occasional." 🎯
We couldn't have said it better ourselves. Proud to be featured by SGTech and grateful for their continued support in positioning Singapore as a global hub for digital trust.
The quote from our COO Charles Huang captures exactly why we built PAIStrike the way we did: not as another scanner, not as a point-in-time exercise, but as a continuous security intelligence function that thinks and operates like an experienced human red team — at machine scale. 🤖
Periodic pentesting made sense in a world where software shipped quarterly. In a world where code ships daily and AI-augmented threats operate 24/7, the only viable defense is continuous, autonomous validation.
That's the mission. That's PAIStrike.
👉 Learn more: https://t.co/DOb3GWA0KT
#Scantist #PAIStrike #AgenticSecurity #CyberSecurity #SingaporeToTheWorld #SGTech #ContinuousSecurity #RedTeam
The dust has settled on #RSAC2026, and one thing is crystal clear: the industry has officially moved from "AI Curiosity" to "Agentic Deployment." 🚀
After a week of back-to-back conversations at the Singapore Pavilion, the "frustration pattern" we heard from CISOs was universal. Traditional, manual pentesting is too slow, too noisy, and simply cannot keep up with the speed of modern development and AI-augmented threats.
Organizations aren't looking for more scanners. They are actively seeking autonomous validation. They want platforms that can reason like an attacker and chain exploits 24/7, leaving human experts to make the critical decisions. 🤖🛡️
We had incredible discussions with global biotech leaders, enterprise open-source providers, and top-tier consulting firms who are all looking to integrate agentic security into their operations today.
As Rob Joyce aptly put it: "You are going to be red-teamed whether you pay for it or not." The only defense against autonomous offense is autonomous validation.
We're back in Singapore, energized and ready to build. Read our full RSAC wrap-up and see why the era of agentic security is already here. 👇
https://t.co/NsbjH3iD9q
#CyberSecurity #AgenticAI #PAIStrike #Scantist #RSAC2026 #CyberSG #SingaporeToTheWorld #OffensiveSecurity
What happens when you point an AI red team at a mature, production-grade enterprise system?
We recently did exactly that. The result: 100 critical and high-severity issues exposed. 🚨
But the raw number isn't the real story. The real story is how AI found them.
These weren't simple missing patches. They were deep, contextual flaws: identity-boundary confusion, cross-object access, and complex exploit chains that traditional scanners and time-boxed manual pentests routinely miss.
AI doesn't create these vulnerabilities. It changes the economics of finding them. It makes complex discovery workflows scalable, retaining context across long attack chains that would exhaust a human researcher.
The uncomfortable truth: If defenders can use AI to find these issues efficiently, attackers can too.
The question is no longer whether you should use AI for security. The question is whether you are using it to see your own attack surface before the adversaries do. 🛡️🤖
👉 Read our full breakdown of the exercise and what it means for the future of red teaming: https://t.co/F2r6C8Slqj
#CyberSecurity #AgenticAI #RedTeam #PAIStrike #Scantist #OffensiveSecurity #AppSec #Pentesting
The Vulnpocalypse isn't a prediction. It's a description of the present. 🌊
Anthropic's Claude Mythos just proved that AI can autonomously discover and chain zero-days that have hidden in codebases for decades. It's a massive leap forward for offensive capabilities.
But here is the asymmetry no one is talking about: Mythos is locked behind closed doors for a select few tech giants. The attackers, however, have no such access controls.
Every month, smaller models inherit these capabilities. The gap between what AI can attack and what traditional tools can defend is widening rapidly.
If your security model relies on manual pentesting or static scanners to catch AI-generated, multi-step exploit chains, you are bringing a knife to a gunfight. 🛡️🤖
The only viable defense against autonomous offense is autonomous defense. We wrote about why the industry needs to shift from point-in-time scanning to continuous, agentic validation—and why waiting for permission won't save you.
👉 Read the full analysis: https://t.co/eXhSEKE1fb
#CyberSecurity #AgenticAI @PAIStrikeAI #Scantist #Anthropic #Mythos #OffensiveSecurity #AppSec
Everyone wants Mythos. But you can't have it. 🚫
Anthropic's new AI model autonomously finds zero-days that have existed for decades. It's remarkable. It's also not available to you — or anyone outside a closed circle of tech giants.
The real question isn't "How impressive is Mythos?"
It's: "What are you doing to secure your infrastructure while you wait?"
Attackers aren't waiting. AI-augmented threats are here now. Continuous, autonomous validation isn't a future investment — it's a present necessity.
This is the gap we wrote about this week. Because a powerful model is not the same as an enterprise-ready pentesting platform. Raw intelligence is not deployable security tooling.
What enterprises need is governed offensive capability: scoped, observable, reproducible, and usable inside real security operations. That's what PAIStrike is built to deliver — today, not someday. 🤖🛡️
We wrote about why the gap between "impressive AI model" and "enterprise-ready security system" is the most important distinction in cybersecurity right now.
👉 https://t.co/P57MySTnuV
#CyberSecurity #PAIStrike #Scantist #AgenticAI #Anthropic #Mythos #RedTeam
Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software.
It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans.
https://t.co/NQ7IfEtYk7
Anthropic’s Project Glasswing and the Mythos model announcement just confirmed what we’ve been saying for months: AI has crossed the threshold in offensive security. 🚨
Mythos is autonomously finding decades-old zero-days and chaining complex exploits in ways that rival the best human red teams. It’s a profound shift.
But there’s a catch in Anthropic’s announcement: “We do not plan to make Claude Mythos Preview generally available.”
It’s locked behind closed doors for a handful of massive tech partners. For the rest of the world, the ultimate AI defender remains out of reach.
You can’t use Mythos today, and you may never be able to. But you don't have to wait to defend your infrastructure.
This is exactly why we built @PAIStrikeAI . 🛡️
PAIStrike brings Agentic AI Autonomous pentesting to the masses right now. It doesn't just scan for known signatures; it reasons like an attacker, autonomously explores your attack surface, and chains vulnerabilities to validate real-world risk—24/7.
The era of AI-driven cyberattacks is here. You need an autonomous defender today, not whenever the tech giants decide to share their toys.
Ready to see what Agentic AI can do for your security posture?
👉 Learn more and start your trial: https://t.co/Ox0xnw8V2A
#AgenticAI #CyberSecurity #PAIStrike #Scantist #Anthropic #Mythos #OffensiveSecurity #Pentesting
Anthropic’s Project Glasswing and the Mythos model announcement just confirmed what we’ve been saying for months: AI has crossed the threshold in offensive security. 🚨
Mythos is autonomously finding decades-old zero-days and chaining complex exploits in ways that rival the best human red teams. It’s a profound shift.
But there’s a catch in Anthropic’s announcement: “We do not plan to make Claude Mythos Preview generally available.”
It’s locked behind closed doors for a handful of massive tech partners. For the rest of the world, the ultimate AI defender remains out of reach.
You can’t use Mythos today, and you may never be able to. But you don't have to wait to defend your infrastructure.
This is exactly why we built PAIStrike. 🛡️
PAIStrike brings Agentic AI Autonomous pentesting to the masses right now. It doesn't just scan for known signatures; it reasons like an attacker, autonomously explores your attack surface, and chains vulnerabilities to validate real-world risk—24/7.
The era of AI-driven cyberattacks is here. You need an autonomous defender today, not whenever the tech giants decide to share their toys.
Ready to see what Agentic AI can do for your security posture?
👉 Learn more and start your trial: https://t.co/Ox0xnw8V2A
#AgenticAI #CyberSecurity #PAIStrike #Scantist #Anthropic #Mythos #OffensiveSecurity #Pentesting
Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software.
It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans.
https://t.co/NQ7IfEtYk7
Spot on insights from Amazon's security leadership. 🎯 The days of relying solely on annual, manual pentests are over.
When attackers are using AI to probe your perimeter 24/7, your defenses must be equally relentless. "You are going to be red-teamed whether you pay for it or not."
This is why we developed PAIStrike. By leveraging agentic AI for continuous exploration and automated exploit chaining, we empower security teams to find the critical paths before the adversaries do—while keeping human experts in the driver's seat for critical decisions. 🛡️⚡
#CyberSecurity #AgenticAI #PAIStrike #OffensiveSecurity #InfoSec
This interview with Amazon's CISO hits on the most critical shift in cybersecurity today: the transition from manual, point-in-time testing to continuous, AI-driven validation. 🚀
The quote from Rob Joyce is a wake-up call: "You are going to be red-teamed whether you pay for it or not."
But the key takeaway isn't just about replacing humans with AI. It's about synergy. As the article notes, AI is incredible at the data-intensive, 24/7 exploration and daisy-chaining of vulnerabilities. But the final decision on exploitation? That still requires human judgment.
This is the exact philosophy behind PAIStrike. We built our agentic AI to autonomously map the attack surface and link complex exploit chains, while keeping human experts firmly in control of the final decisions. 🤖🤝🧑💻
It's not about AI replacing the red team. It's about giving the red team the autonomous engine they need to keep pace with modern threats.
#AgenticAI #CyberSecurity #PAIStrike #RedTeam #Pentesting #RSAC2026
Attackers compromised a maintainer account and quietly published malicious versions of Axios (1.14.1 and 0.30.4). What’s particularly unsettling is that there wasn’t a single line of malicious code in axios itself.
Instead, the attacker slipped in a fake dependency that executed a postinstall script, dropped a cross-platform RAT, contacted a live C2 server, and then deleted itself — even replacing its own package.json to cover tracks.
This wasn’t opportunistic. The payloads were staged 18 hours in advance, built for macOS, Windows, and Linux, and both release branches were hit within 39 minutes. That level of coordination is rare, even for npm supply chain attacks.
Trusting widely used packages is becoming one of the biggest risks in modern development.
If you installed [email protected] or 0.30.4, it’s safest to assume compromise.