Mammoth Cyber

This one small change is transforming how the world’s leading enterprises work safely and efficiently.

Mammoth Cyber provides modern enterprise browser defense against shadow AI risks, securing unauthorized AI tool usage with real-time monitoring and data protection Mammoth Cyber, founded in 2019 by cybersecurity experts, reimagines enterprise work with its Enterprise Browser, a single, secure, and productive workspace designed for organizations transitioning from legacy private apps to modern LLM-

centric AI applications, serving everyone from those with limited IT staff to large distributed banking organizations with remote workers and multiple offices. Backed by the trust of industry-wide security and IT practitioners, it addresses modern AI risks, including OWASP LLM vulnerabilities, through innovative AI security solutions.

03/06/2026

🚨 This Week in Cybersecurity (Mar 2–6)

AI-driven attacks and browser-based breaches continue to accelerate. Here are a few notable incidents this week:

📅 Mar 6 — AI-Accelerated Breaches
Researchers report attackers can now exfiltrate data within ~72 minutes using AI-automated attack workflows.

📅 Mar 5 — OAuth Phishing Campaign
Attackers abused OAuth redirect flows to steal enterprise tokens and compromise Microsoft accounts.

📅 Mar 4 — AI Agent Hijacking
A vulnerability allowed malicious websites to take control of local AI agents and access sensitive data.

📅 Mar 4 — Router Botnet Malware
Zerobot malware exploited router vulnerabilities, turning devices into DDoS botnets.

📅 Mar 2–3 — Hacktivist Cyber Attacks
Geopolitical tensions triggered coordinated DDoS and data breach campaigns.

🧠 Security Takeaway

Most modern attacks start in the browser:

- phishing links
- AI prompts
- SaaS access
- malicious websites

🔐 That’s why enterprises must secure AI where it happens — the browser.

Mammoth Cyber Secure Enterprise Browser helps:
✔ Protect AI prompts and sensitive data
✔ Block malicious downloads & redirects
✔ Enforce Zero-Trust access to internal apps
✔ Prevent data exfiltration from SaaS & AI tools

👉 https://mammothcyber.com or schedule a briefing to meet us at https://bit.ly/4bbs2lG

03/05/2026

🚨 Recent breaches continue to show the same pattern:
attackers don’t break in through the front door — they move through developer workflows.

Developers today interact with:

☁️cloud infrastructure consoles
🔧 SaaS platforms like GitHub and Slack
🤖 AI coding assistants
🔐 internal admin tools

Most of this happens through the browser, often from remote environments.

That’s why modern developer security requires a dual-path architecture:

🌐 Public Path
Direct access to SaaS platforms for speed and productivity.

🔒 Private Path
Internal infrastructure accessible only through a secure service edge — hidden from the public internet.

This model enables organizations to support AI-driven development and remote engineers while protecting sensitive systems and data.

📘 We put together a playbook explaining the Secure Developer Workspace model and the architectural guardrails needed to implement it.

Download the guide here:
https://bit.ly/4091rkl

02/27/2026

🚨 AI Security Alert: Are your AI agents creating new backdoors?

This week, several major incidents have proven that as we rush to adopt AI, we are opening new doors for attackers:

Feb 27: Researchers revealed that public Google API keys can be used to expose sensitive Gemini AI data.

Feb 24-27: The AI agent platform Moltbook suffered a breach just days after launch, allowing attackers to hijack agent sessions via unsecured API tokens.

New Intelligence: Darktrace reported a surge in AI-enabled credential abuse, where attackers use AI to automate session cookie theft and bypass traditional security.

How Mammoth Cyber closes these backdoors:

Mammoth Cyber provides the first Enterprise AI Browser designed to secure the interaction between your team and the AI tools they use:

✔️API & Data Redaction: Automatically identifies and blocks API keys or PII from being sent to LLMs.

✔️Session Isolation: Keeps AI agent workflows in a secured sandbox, preventing them from accessing unauthorized local data.

✔️Prompt Governance: Detects and stops malicious "indirect injections" from taking control of your AI agents.

Stop choosing between AI productivity and security. With Mammoth Cyber, you can govern every AI-driven action across your entire SaaS stack.Schedule a briefing at 2026 https://bit.ly/4sjqJZ6

02/23/2026

Omdia’s latest research shows a big shift in how enterprises think about browser security 🌐🔐

With browser‑based attacks on the rise and GenAI introducing new risks ⚠️🤖, organizations are moving quickly toward modern secure‑browser solutions. The study highlights growing gaps between legacy tools and next‑gen architectures as teams evaluate options like enterprise browsers, managed browsers, extensions, and VDI/DaaS.

Secure browsing is gaining serious momentum 🚀—and 2026 is shaping up to be a breakout year for this category.

See what industry analysts validate & align with on, and start a demo at
https://bit.ly/4s4oPeC ✨

Omdia source: https://bit.ly/4c2lurM

02/20/2026

🔐 AI Data Breach Weekly (Feb 17–21, 2026)

This week’s security incidents had a common theme:

No one hacked in.
Data walked out — through AI.

Feb 17 – Researchers retrieved internal company documents (contracts, support logs, architecture files) after employees uploaded them to public AI assistants for summarization.
Source: multiple AI data exposure cases documented by OWASP Foundation guidance on LLM data leakage risks.

Feb 18 – Prompt-injection webpages manipulated AI copilots to pull internal context and return it in chat responses.
Source: Foundation — LLM Top 10: Prompt Injection.

Feb 19 – Browser extensions were found harvesting AI conversations, prompts, and uploaded files from authenticated corporate sessions.
Source: Google Threat Analysis Group and industry extension-monitoring research.

Feb 20 – Organizations reported AI agents sending emails and accessing internal documentation due to excessive permissions (“excessive agency”).
Source: National Institute of Standards and Technology AI Risk Management Framework.

What failed?

CASB, DLP, EDR, and SSO — because the data didn’t leave via the network.

It left via:
SaaS → copy/paste → browser → AI

Where Mammoth Cyber fits

Mammoth secures the AI work session itself:

• Blocks sensitive uploads to AI
• Prevents copy/paste from corporate SaaS into AI chats (Trust Circles)
• Detects prompt injection
• Governs agent actions

AI isn’t a future security problem anymore — it’s a workflow problem.

👉 Learn more / schedule demo:
https://bit.ly/3MVF2DU

02/19/2026

AI isn’t just a tool anymore.
It’s a decision-maker inside your company.

An AI agent can read documents, access systems, call APIs, and trigger workflows. An attacker no longer needs malware or stolen credentials — they just need to manipulate what the AI believes. The employee does nothing wrong… the AI does exactly what it was told.

The browser has quietly become where this all happens. Security now has to govern AI behavior, not just user behavior.

Read the breakdown 👇
https://bit.ly/4kJ5soN

Or see how enterprises are containing it (demo):
https://bit.ly/3Ovtk3h

02/13/2026

Weekly AI Security Incident Log (Feb 7–13, 2026)

• Feb 12, 2026 — 300M AI Chat Messages Leaked
A third-party mobile AI chatbot app exposed ~300 million conversations from ~25M users after a misconfigured Firebase database left prompts and uploaded files publicly accessible.
Source: https://bit.ly/4qBilTl

• Feb 11, 2026 — Browser Extensions Capturing AI Conversations
Security researchers identified hundreds of Chrome extensions capable of reading and transmitting data from AI chat sessions, creating a silent exfiltration risk inside the browser.
Source: https://bit.ly/4rGYYsQ

• Feb 10, 2026 — Google Gemini Prompt-Injection Exfiltration Demonstrated
Researchers showed a malicious calendar invite could hide instructions that trick an AI assistant into revealing emails, meeting details, and attachments — no malware required.
Source: https://bit.ly/4rPNPX0

• Feb 9, 2026 — Multi-Model “One-Prompt” Jailbreak Attack Published
New research demonstrated a single crafted prompt could bypass safeguards across multiple LLM systems and expose internal system information.
Source: https://bit.ly/3MIAxfQ

• Feb 8, 2026 — Shadow AI Corporate Data Leakage Study Released
Enterprise telemetry analysis found ~2.6% of employee prompts submitted to generative AI tools contained sensitive corporate data (source code, contracts, financial projections).
Source: https://bit.ly/3OEAHFA

Key takeaway:
No one hacked the AI models directly.
The emerging attack surface is the AI usage layer — conversations, browser sessions, plugins, and copilots.

See how AI security guardrails work in practice — schedule a demo:
https://bit.ly/3ZCPoeN

02/13/2026

https://bit.ly/4aizuMI

This incident shows a major shift in .

Researchers demonstrated that hidden instructions placed inside normal content (like a meeting invite) could cause an AI assistant to reveal sensitive information — even though the user never clicked a link or downloaded anything. No malware, no phishing, no account compromise. The attacker simply talked to the AI.

This is . Because AI executes language, anything it reads — emails, docs, tickets, webpages — can become attacker-controlled behavior. And since employees use copilots inside the browser, the browser is now a potential data-exfiltration path.

Instead of banning AI, organizations need guardrails. Mammoth Cyber’s Enterprise Browser helps detect prompt injection, prevent sensitive data from leaking to external AI models, and isolate corporate context so teams can safely use copilots.

Learn more:
https://bit.ly/3McAiJX

02/06/2026

This week’s AI & data security incidents show a clear pattern: AI is accelerating breaches when guardrails are missing.

🗓 Feb 2 — Moltbook (AI agent platform)
Incident: 1.5M+ API tokens and private messages exposed
Root cause: Unauthenticated database + insecure AI-generated configs
🛡️Mammoth guardrail: Block unsafe AI-generated configs, protect API keys, enforce secure deployment policies

🗓 Feb 3 — AI-accelerated AWS breach
Incident: Cloud environment compromised in ~8 minutes
Root cause: Exposed credentials + AI-assisted lateral movement
🛡️Mammoth guardrail: Credential leak prevention, anomaly detection, zero-trust browser access

🗓 Feb 3 — Substack user data leak
Incident: ~697K emails & phone numbers exposed
Root cause: Unauthorized access to sensitive user metadata
🛡️Mammoth guardrail: Sensitive data classification + access-pattern monitoring

🗓 Feb 6 — Deepfake fraud at scale
Incident: AI-generated impersonation scams causing major financial losses
Root cause: Generative AI used without output controls or intent validation
🛡️Mammoth guardrail: AI usage policies, impersonation detection, high-risk action blocking

🔑 Takeaway:
AI doesn’t just increase risk — it compresses time-to-impact.
Guardrails at the browser, prompt, and credential layer are now mandatory.

02/03/2026

🔐 When your data is leaving the building, old DLP quietly stops working.
Traditional Data Loss Prevention was designed for files, networks, and managed devices. But today, sensitive data is leaking through AI prompts inside the browser — copy/paste into ChatGPT, summaries generated from SaaS apps, and agentic tools running on BYOD devices over encrypted HTTPS. In many cases, network-based DLP never even sees the data.

This article explains why DLP must move into the browser to stay effective in the age of AI. If your security strategy still assumes data only leaves via uploads and attachments, it’s time to rethink where controls live.
📖 Read more: https://bit.ly/4ke879K

01/30/2026

🔐 AI Breach Watch — Weekly Incident Report

📅 Jan 26–30, 2026

As January closes, this week reinforced a hard truth:
AI tools and browsers are now core attack surfaces.

This week’s key incidents:

🗓 Jan 26 — AI Coding Tool Vulnerabilities
Researchers disclosed how indirect prompt manipulation in AI coding assistants could expose source code and configuration data during normal developer workflows.

🗓 Jan 27 — Malicious VS Code Extension
A VS Code Marketplace extension (“ChatGPT – Chinese Version”), with 1M+ downloads, was confirmed to silently read opened files and exfiltrate data — abusing trusted tooling.

🗓 Jan 29–30 — Agentic AI Risk Escalation
Enterprises reported increased exposure from agentic AI systems autonomously browsing tools, accessing SaaS apps, and executing actions without sufficient policy controls or audit visibility.

What these incidents share:
They didn’t break in — they operated inside trusted AI tools, prompts, and browser sessions.

📒Takeaway:
Traditional DLP protects files and networks.
AI breaches happen in prompts, context, agents, and browsers.

That’s why security guardrails must live where AI work happens. Try out Enterprise Browser with security guardrails today - https://bit.ly/4adima6

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299 California Avenue Suite 300
Palo Alto, CA
94306

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https://mammothcyber.com/

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