June 4, 2026
100 enterprise AI agents rated, plus an open source methodology you can use in procurement and security posture tracking.
Read more: AIRQ: AI Risk Quadrant — independent AI agent security rating (opens in new tab)June 4, 2026
100 enterprise AI agents rated, plus an open source methodology you can use in procurement and security posture tracking.
Read more: AIRQ: AI Risk Quadrant — independent AI agent security rating (opens in new tab)June 4, 2026
100 enterprise AI agents rated, plus an open source methodology you can use in procurement and security posture tracking.
Read more: AIRQ: AI Risk Quadrant — independent AI agent security rating (opens in new tab)
[ Coding Agent Security Platform ]
Adversa AI watches what your coding agents do and stops the damage before it lands: wiped databases, leaked credentials, malicious code shipping to production. A gateway plus a light sensor on developer machines, protecting from day one.
Analyst recognition
Standards leadership
A decade of adversarial research
20+ industry awards
20+ industry awards
[ Why CISOs care ]
Coding agents now read your files, run commands, and push your code. These actions form complex chains: your tools record them one step at a time, and no tool sees the whole. The risks within:
The agent wandering past what it was ever meant to do, gradually expanding its own scope — no attacker required.
“Clean up the test environment” turning into a delete on the production database. Leaked secrets. Wrong packages installed. And the user’s own slips: an .env file or a key pasted into a prompt.
Someone hijacks your agent: prompt injection and malicious context — a poisoned repo, a malicious MCP server, instructions hidden anywhere the agent reads.
Individual actions look harmless. The chain is the breach.
[ The Adversa AI platform ]
Capture every surface where an AI agent acts: its LLM traffic, its harness, the machine it runs on, and direct provider integrations. Every vendor’s protocol mapped into one graph.
Each action read for meaning and tied into a chain: what the agent read vs what it ran. A lone suspicious step is context, not an alert.
Dangerous chains blocked before they complete, and flagrant single actions blocked outright. Policies covering every known coding agent attack technique and public incident ship by default.
Works where single-vendor controls can’t. Your developers run several agent brands, and each vendor governs only its own. Behind each brand, model routers split calls across several providers, so no single provider sees the whole traffic. One platform across all of them: Claude Code, Copilot, Cursor, Codex, and what comes next.
[ Customer evidence ]
A financial institution routed Codex, Claude Code, and Copilot through the platform: visibility from day one, and developers never noticed it was there. In the first week it stopped a real attack the AI gateway, EDR, and SIEM all missed: an agent absorbed a malicious skill, read internal API secrets, and tried to send them out.
0.2 ms
Median blocking decision, measured in production
Developers don’t feel it.
2,000:1
Raw signals per confirmed incident
No alert flood.
300+
Policies live on day one, before you write a rule
[ 01 ]
Agents write your code, not your incidents. Chain-level detection, plus immediate response and enforcement for the agents you’ve approved.
Coding agent security for AppSec teams →[ 02 ]
Say yes to more AI, with evidence you can defend to the board and the regulator.
Enterprise AI agent security for CISOs →[ 03 ]
Sub-millisecond checks that fail open. Agent mistakes caught before they execute. One platform when tools switch.
Coding agent security for engineering teams →[ Trust & proof ]
Lead contributors to NIST AI RMF, OWASP ASI, CoSAI and other industry initiatives. World's first AI security patent.
Gartner Representative Vendor, IDC Innovator, KuppingerCole Innovation Leader. SOC 2 Type I & II audited, ISO 27001 certified.
Featured in Forbes, Fortune, WSJ, Dark Reading, MIT Technology Review, WIRED, TechCrunch, Security Week, and more.
The platform’s defaults are written by our offense team: what we break in the lab, the runtime blocks by default. And the practice is open on request: AI red teaming and agentic assessments for the systems you’d rather not guess about.
AI red teaming services →[ BLOG ]
July 15, 2026
A crafted cursor:// link installs an attacker-controlled MCP server that runs unsandboxed commands under your account, and the install dialog hides the payload.
June 25, 2026
OWASP ranks Identity & Privilege Abuse #3 because it sets the blast radius for every other AI agent risk.
October 6, 2026
Cryptographic Context Injection against a coding agent: one encrypted page makes GitHub Copilot CLI send local secrets to an attacker in 28 seconds.
[ Book a demo ]
Watch the platform connect individual agent actions into chains, stop the dangerous ones before they complete, and produce the evidence your auditors ask for. The demo takes 30 minutes; if it fits, a scoped observe-mode pilot follows, first signal in minutes.
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