New Delhi, India
2018
  |  By Jinson Varghese
You’re most likely here because of some math and news about how to get that math and mess sorted. Your engineering team can’t manually pentest every release, your scanners flood Jira with noise, and your CISO needs audit-ready evidence by next quarter, and the autonomous pentesting market promises relief; AI agents that discover, chain, and exploit vulnerabilities at human-quality depth, in hours instead of weeks.
  |  By Rishabh Goyal
Your presence here, reading this, insinuates that something is nagging at you. Maybe it’s the Ivanti headline you saw last week or the fact that half your engineering team works from cafés, co-working spaces, and home offices you’ve never set foot in. Maybe it’s the audit coming up and that one checklist item about remote access controls you’ve been putting off. No, you’re not being paranoid. We have numbers that justify your burgeoning anxiety.
  |  By Ephrim Holyson
You can easily split the room in half if you mention autonomous pentesting in a room full of security professionals. One-half will argue it’s the most important shift in offensive security to date, capable of solving the challenge of monitoring attack surface expansion faster than any manual pentester can prove it secure. The other half will push back hard.
  |  By Sanskriti Jain
For years, the defensive side held the asymmetric advantage over threat actors. Writing exploits requires a deep understanding of how memory corruption works, how authentication tokens can be forged, etc. That knowledge gap is what made it hard to exploit a vulnerability. LLM proliferation lowered that floor and quickly removed that advantage. Even script kiddies can now carry out cyberattacks like APTs without understanding POC.
  |  By Jinson Varghese
On average, Astra Security detected 5.33 vulnerabilities per minute in 2025, which is more than 7,000+ vulnerabilities per day in live environments. That’s the brutal math of the Modern attack surface. Without proper pentesting, each deployment cycle introduces multiple entry points for hackers, and each overlooked endpoint increases the risk of cyberattack.
  |  By Keshav Malik
OWASP Penetration Testing is a specialized type of security testing that focuses on attack vectors and vulnerabilities listed in OWASP Top 10. An organization’s security landscape is complex, and thus it is essential to test the organization’s security measures to ensure that they are working correctly. OWASP’s (Open Web Application Security Project) compiled a list of the top 10 attacks named OWASP Top 10 for multiple technologies such as Web Applications, Cloud, Mobile Security, etc.
  |  By Ephrim Holyson
The CVE-2026-34839 was discovered during a manual analysis of the application’s API and network behavior. This flaw is very dangerous on office/home networks where Glances is commonly run, and IPs are easy to find through simple scanning.
  |  By Ephrim Holyson
On March 31, 2026, a routine npm publish turned into pure chaos. A 59.8 MB JavaScript source map file meant for internal debugging was pushed along inside the Claude code package version 2.1.88. A researcher, Chaofan Shou (@Fried_rice), yanked that file within hours and publicly disclosed the Claude code Leak on X. Within the next few hours, the whole internet’s nerds had mirrored, de-obfuscated, and gone through more than 513,000 lines of TypeScript across 2000+ files.
  |  By Keshav Malik
There is a widening gap between what most organizations call offensive security testing and what actually keeps them safe. The standard model looks familiar: schedule an annual penetration test, receive a PDF full of color-coded findings, remediate a handful of critical items, and repeat next year. Attackers do not operate in annual cycles. The core problem is not a lack of testing. It is the wrong kind.
  |  By Sanskriti Jain
Global Open banking API call volumes are set to cross the 720 billion mark by 2029, and attackers know it. With the global open banking market surging past $38 billion in 2025 itself and projected to exceed $115 billion by 2030, the financial data flowing through these APIs is highly lucrative for threat actors. With over 7.5 million calls made to just AI APIs, they have now graduated from a technical challenge to a business imperative.

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